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Ryo Inoue

Section

Graduate School of Information Sciences

Job title

Associate Professor

Degree

博士（工学）（東京大学）
修士（工学）（東京大学）

researchmap

https://researchmap.jp/read0158429

J-GLOBAL ID

201101046661697284

ORCID

https://orcid.org/0000-0002-0106-9777

Researcher ID

B-7032-2008

Research History 5

2012/04 - Present

Graudate School of Information Sciences, Tohoku University　Human-Social Information Sciences　Associate Professor
2010/08 - 2012/03

Faculty of Engineering, Tohoku University　Associate Professor
2009/04 - 2010/07

Department of Civil Engineering, School of Engineering, University of Tokyo　Assistant Professor
2007/04 - 2009/03

Department of Civil Engineering, School of Engineering, University of Tokyo　Assistant Professor
2005/04 - 2007/03

Center for Spatial Information Science, University of Tokyo　Researcher

Education 3

The University of Tokyo　The Graduate School of Engineering　Department of Civil Engineering

2002/04 - 2005/03
The University of Tokyo　The Graduate School of Engineering　Department of Civil Engineering

2000/04 - 2002/03
The University of Tokyo　Faculty of Engineering　Department of Civil Engineering

1998/04 - 2000/03

Committee Memberships 19

Geographic Information System Association of Japan　Director

2022/05 - Present
Sendai City　Land Use Review Committee Member

2022/04 - Present
Geographic Information System Association of Japan　Chief of Tohoku Branch

2014/05 - Present
Geographic Information System Association of Japan　Chair of Academic Awards Committee

2024/05 - Present
Geographic Information System Association of Japan　Delegate

2012/01 - Present
Japan Society of Civil Engineers　Committee Secretary of Infrastructure Planning and Management

2023/09 - 2025/05
Japan Society of Civil Engineers　Member of Editorial Committee of JSCE Magazine

2023/06 - 2025/05
土木学会　令和6年度土木学会全国大会年次学術講演会部会副部会長・学会誌編集部会副部会長

2023/08 - 2024/12
土木学会　総務部門全国大会委員会プログラム編成会議令和6年度第Ⅳ部門委員

2024/04 - 2024/09
Geographic Information System Association of Japan　Chair of Academic Conference Committee

2016/05 - 2024/05
Geographic Information System Association of Japan　Member of Editorial Committee

2012/05 - 2024/05
日本写真測量学会　評議員

2010/05 - 2022/05
日本写真測量学会　電子情報委員会委員

2008/12 - 2022/05
Japan Society of Civil Engineers　Member of Editorial Committee of JSCE Magazine

2016/06 - 2018/05
Geographic Information System Association of Japan　Member of Academic Conference Committee

2012/05 - 2016/05
社団法人日本不動産鑑定協会不動産鑑定業将来ビジョン研究会　委員

2010/10 - 2011/06
土木学会 2級技術者資格小委員会　委員

2009/01 - 2010/12
土木学会　全国大会プログラム編成委員(第Ⅳ部門)

2007/01 - 2010/12
地理情報システム学会　代議員選挙管理委員長

2008/01 - 2009/12

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Professional Memberships 10

地理情報システム学会
土木学会
日本地理学会
日本不動産金融工学会
日本オペレーションズ・リサーチ学会
計画交通研究会
日本測量協会
日本写真測量学会
交通工学研究会
応用地域学会

︎Show all ︎Show first 5

Research Interests 3

Spatial statistics
GeoVisualization
Geographic information science

Research Areas 2

Humanities & social sciences / Geography / GIScience
Social infrastructure (civil Engineering, architecture, disaster prevention) / Civil engineering (planning and transportation) /

Awards 4

GISA Award: Academic papers

2019/10　GIS Association of Japan
土木学会論文賞

2007/06　Japan Society of Civil Engineers
GISA Award: A research encouragement award

2009/10　GIS Association of Japan
測量技術奨励賞

2006/06　日本測量協会

Papers 60

Multiscale Continuous and Discrete Spatial Heterogeneity Analysis: The Development of a Local Model Combining Eigenvector Spatial Filters and Generalized Lasso Penalties Peer-reviewed

Zhan Peng, Ryo Inoue

Geographical Analysis　56　(2)　303-327　2024/04

DOI： 10.1111/gean.12375 　
Colocations of spatial clusters among different industries Peer-reviewed

Ryo Inoue, Shino Shiode, Narushige Shiode

Computational Urban Science　3　(1)　2023/11/06
Publisher: Springer Science and Business Media LLC
DOI： 10.1007/s43762-023-00107-9 　

eISSN： 2730-6852

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Abstract Spatial colocation has been studied in many contexts including locations of urban facilities, industry entities and businesses. However, identifying colocations among a small number of facilities and establishments holds the risk of introducing false positive in that such a spatial arrangement may have occurred by chance. To account for the association between a group of facilities that frequently colocate with each other, this study proposes a two-step approach consisting of identifying statistically significant clusters of each facility type using the False Discovery Rate (FDR) controlling procedure, and subsequently measuring the colocation of those clusters with the frequent-pattern-growth (FP-growth) algorithm. Empirical analysis of 6 million business and industrial establishments across Japan suggests that 10 out of 86 industry types form clear colocations and their colocations form a multi-layered, cascading structure. The number of layers in the multi-layered structure reflect the city size and the strength of the association between the colocated clusters of industries. These patterns illustrate the utility of detecting colocation of clusters towards understanding the agglomeration of different businesses. The proposed method can be applied to other contexts that would benefit from investigations into how different types of spatial features can be linked with each other and how they form colocations.
Detection of irregular-shaped clusters on a network by controlling the shape compactness with a penalty function Peer-reviewed

Ryo Inoue, Shino Shiode, Narushige Shiode

GeoJournal　88　3817-3832　2023/02/15
Publisher: Springer Science and Business Media LLC
DOI： 10.1007/s10708-023-10834-5 　

eISSN： 1572-9893

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Abstract Recent development of cluster detection methods focuses on the improvement of efficiency or accuracy, with the latter yielding a wide range of variants in the shape of the search window, from a simple circle and elliptic shape to more irregular shapes. Detection of irregular-shaped clusters has seen various new approaches as it is considered to capture the shape and extent of clusters more accurately. One of these newly developed approaches achieves the irregularity of the clusters by placing a penalty on the shape complexity of a candidate cluster. This study extends this approach and applies it to a network-space to detect irregular-shaped clusters along a street network segments in a small urban area. The study uses a genetic algorithm to search candidate clusters and identify the most likely cluster using the framework of spatial scan-statistics. Application of the method to a small synthetic data and a real data set revealed that providing options of different cluster patterns with different compactness parameters helps find more accurate as well as geometrically and contextually more meaningful clusters, as opposed to those detected without a shape controlling parameter.
Measuring the colocation of crime hotspots Peer-reviewed

Naru Shiode, Shino Shiode, Ryo Inoue

GeoJournal　88　3307-3322　2022/12/15
Publisher: Springer Science and Business Media LLC
DOI： 10.1007/s10708-022-10806-1 　

eISSN： 1572-9893

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Abstract Crimes tend to concentrate in high-risk places known as crime hotspots. While the size and locations of such hotspots vary between different types of crime as would the underlying conditions that trigger each crime, the extent of overlaps between their hotspots is understudied. Using crime data from Chicago aggregated at the community-area and the census-tract levels, this paper investigates the patterns of overlapping hotspots between different crime types to see whether a specific group of crime types regularly form a joint cluster. Specifically, we identify statistically significant hotspots for each crime and, using the frequent-pattern-growth algorithm, analyse the frequency of each combination of crimes sharing their hotspot locations across the study area. Results suggest that crime hotspots form stable multi-layered colocations and that each area holds its subset: namely, the pervasive, primary colocations consisting of assault, battery and criminal damage to property, which are frequently joined by 7 additional (e.g. street robbery, motor vehicle theft, weapons violation) crimes to comprise secondary colocations, some of which evolving to an even larger, tertiary colocation of hotspots with up to 11 additional crime types (e.g. homicide, criminal sexual assault, narcotics) to form crime-riddled neighbourhoods. This multi-layered structure of colocations as well as the crime colocation diagrams that show the most representative crimes at each colocation size would improve our understanding of the association between different crime types and the crime indicators of other crimes.
Point Event Cluster Detection via the Bayesian Generalized Fused Lasso Peer-reviewed

Ryo Masuda, Ryo Inoue

ISPRS International Journal of Geo-Information　11　(3)　187-187　2022/03/11
Publisher: {MDPI} {AG}
DOI： 10.3390/ijgi11030187 　
Short-Term Traffic Speed Prediction Based on Fundamental and Cointegration Relationship of Speed–Density in Non-Congested and Congested States Peer-reviewed

Ryo Inoue, Akihisa Miyashita

IEEE Open Journal of Intelligent Transportation Systems　2　470-481　2021/12/20
Publisher: Institute of Electrical and Electronics Engineers ({IEEE})
DOI： 10.1109/OJITS.2021.3133573 　

eISSN： 2687-7813
How Does Residential Property Market React to Flood Risk in Flood-Prone Regions? A Case Study in Nagoya City Peer-reviewed

Ryo Inoue, Kohei Hatori

Frontiers in Water　3　2021/06/09
Publisher: Frontiers Media {SA}
DOI： 10.3389/frwa.2021.661662 　

ISSN： 2624-9375

eISSN： 2624-9375

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To quantify the flood risk awareness of real estate market participants and residents, previous studies analyzed the effect of flood risks on residential property values. However, most studies focused on the impact of recent flood events and the publication of new flood risk information; the behavior in flood-prone regions in which repeated damages occurred and lessons learned consequently has not been the focus of analysis. Moreover, there is a growing national concern in Japan about an increase in future flood risks due to climate change, although their effect on property values has not been discussed. In this study, we analyzed residential property values in Nagoya City (Aichi Prefecture, Japan), a megacity that has experienced significant flood damage in major historical and recent floods. The main objective of this study is to determine the effects of past and recent flood experiences and the increasing concerns about flood risks on recent residential property values. The results revealed that historical flood damage had the largest impact on residential property values in Nagoya City, and devaluation increased due to growing concerns about natural disasters in Japan. The disclosure of flood risk information also had an impact on property values, increasing devaluation after disclosure. On the contrary, the occurrence of recent floods did not have an impact on property values, suggesting that flood risk awareness had already been strong in the target area. These findings are different from those of many previous studies. The observed trends in residential property values in the target area are likely a characteristic response in flood-prone regions, where flood risk awareness is enhanced due to repeated flood damage.
IDENTIFICATION OF GEOGRAPHICAL SEGMENTATION OF THE RENTAL HOUSING MARKET IN THE TOKYO METROPOLITAN AREA BY GENERALIZED FUSED LASSO Peer-reviewed

Ryo INOUE, Rihoko ISHIYAMA, Ayako SUGIURA

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)　76　(3)　251-263　2020/08/20
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejipm.76.3_251 　

eISSN： 2185-6540
Identifying local differences with fused-MCP: an apartment rental market case study on geographical segmentation detection International-journal Peer-reviewed

Ryo Inoue, Rihoko Ishiyama, Ayako Sugiura

Japanese Journal of Statistics and Data Science　3　(1)　183-214　2020/06/17
Publisher: Springer Science and Business Media {LLC}
DOI： 10.1007/s42081-019-00070-y 　

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As the variety and quality of spatial data increase in recent times, the potential to analyze local characteristics based on spatial data is getting stronger. Previous spatial analysis methods structuralize the spatial autocorrelation of data by the distances between data observation points and the contiguity of the data-observed regions. It is significant for the estimation of global characteristics of spatial data. However, these approaches are not suitable for identifying local differences from the data since they assume a smooth spatial autocorrelation structure. Generalized fused lasso, which can detect local differences in spatial data, has been proposed in machine learning studies. Its limitation is that the estimated parameters are biased toward zero; however, methods that overcome the limitation have also been proposed. Fused-MCP is one of those methods and is expected to be useful in spatial analyses. This study applies fused-MCP to spatial analyses. As an example of spatial analyses based on fused-MCP, this study analyzes the structure of geographical segmentation of the real estate market in central Tokyo. Fused-MCP is utilized to extract areas where the valuation standard is the same. The results reveal that the geographical segmentation displays hierarchal patterns. Specifically, the market is divided by municipalities, railway lines and stations, and neighborhoods. The case study confirmed the applicability of fused-MCP to spatial analyses.
Mining Spatio-temporal Patterns of Congested Traffic in Urban Areas from Traffic Sensor Data Peer-reviewed

Ryo Inoue, Akihisa Miyashita, Masatoshi Sugita

2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)　731-736　2016

DOI： 10.1109/ITSC.2016.7795635 　
Visualization of Spatial Distribution and Temporal Transition of Land Price in Tokyo 23 Wards Based on Spatio-Temporal Kriging Interpolation Peer-reviewed

Inoue, Ryo, Shimizu, Eihan, Yoshida, Yuichiro, d Li, Yonghe

Theory and Applications of GIS　17　(1)　13-24　2009/04

DOI： 10.5638/thagis.17.13 　
A new algorithm for distance cartogram construction Peer-reviewed

Eihan Shimizu, Ryo Inoue

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE　23　(11)　1453-1470　2009

DOI： 10.1080/13658810802186882 　

ISSN： 1365-8816
Studies on New Cartogram Construction Algorithms and Their Applications: Towards Further Development and Utilization of Statistical GIS Invited

Eihan Shimizu, Ryo Inoue

Infrastructire Planning Review　25　(1)　1-15　2008/12
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/journalip.25.1 　

ISSN： 0913-4034

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Cartograms are tools that show the spatial distribution of data by the transformation of map shapes, and they are considered as effective visualization tools for statistical data. In this paper, we focus on cartograms because they are capable of developing statistical GIS, and we propose cartogram construction algorithms. First, we establish the following principles for algorithm development I. Describe cartogram construction problems by the linear least squares method to simplify and elucidate algorithms. II. Regularize the problems through restrictions on the bearing changes of the edges in order to obtain visually clear cartograms in which the shapes of resultant regions resemble the corresponding shapes on geographical maps. Then, according to the principles, we propose construction algorithms for three types of cartograms and illustrate their applicability to the visualization of statistical data.
A new algorithm for continuous area cartogram construction with triangulation of regions and restriction on bearing changes of edges Peer-reviewed

Ryo Inoue, Eihan Shimizu

Cartography and Geographic Information Science　33　(2)　115-125　2006/04

DOI： 10.1559/152304006777681698 　

ISSN： 1523-0406
Flood Risk Perception in an Inherently Flood-Prone Urban Area: Based on a Land Price Analysis in the Arakawa River Downstream Area, Tokyo Peer-reviewed

Kozo Nagami, Ryo Inoue, Daisuke Komori

Journal of Disaster Research　20　(2)　222-232　2025/04/01
Publisher: Fuji Technology Press Ltd.
DOI： 10.20965/jdr.2025.p0222 　

ISSN： 1881-2473

eISSN： 1883-8030

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In urban developments, inherently flood-prone areas are often developed to pursue economic benefits within land constraints. This trend has been observed worldwide, particularly in fast-growing developing countries, but has also historically occurred in developed nations, resulting in concerns about the safe development paradox and underestimation of flood risk. If these circumstances are persistently entrenched and difficult to improve, urban development in inherently flood-prone areas could be an irreversible bottleneck to sustainable urban development. This paper examines flood risk perception in the Arakawa River downstream area in Tokyo by analyzing land prices from 2005 to 2024. Over these 20 years, the official flood hazard map was legally set at the design flood level in 2005 and enhanced to the probable maximum flood level in 2015. The analysis showed statistically significant land price decline effects due to both design flood risk and probable maximum flood risk, regardless of inundation rank. This result confirmed that flood risk has been well perceived by society and residents at least over the 20 years in the area. Further analysis suggested that even before 2015, land prices significantly reflected probable maximum flood risk, likely due to past experiences. However, the 2015 legal revision of the flood hazard map amplified land price decline effects in areas with high probable maximum flood risk (above 5.0 meters of inundation). The results indicate that hazard maps can serve as effective disaster risk information tools to support sustainable urban development.
Exploring Discrete Spatial Heterogeneity Across Quantiles: A Combination Approach of Generalized Lasso and Conditional Quantile Regression (Short Paper) Peer-reviewed

Ryo Inoue, Kenya Aoki

16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs)　315　12:1-12:8　2024/09

DOI： 10.4230/LIPIcs.COSIT.2024.12 　
Spatial heterogeneity analysis from the perspective of data distribution: An eigenvector spatial filtering-based spatially varying quantile regression model Peer-reviewed

PENG Zhan, INOUE Ryo

Proceesings of the 18th International Conference on Computational Urban Planning and Urban Management　2023/06

DOI： 10.17605/OSF.IO/6YR5V 　
Correlation representation of local and regional extreme precipitation events by applying spatial extreme modeling Peer-reviewed

Haruhito NISHIO, Ryo INOUE

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)　78　(2)　I_463-I_468　2022/11

DOI： 10.2208/jscejhe.78.2_I_463 　
Extraction of Continuous and Discrete Spatial Heterogeneities: Fusion Model of Spatially Varying Coefficient Model and Sparse Modelling Peer-reviewed

Ryo Inoue, Koichiro Den

ISPRS International Journal of Geo-Information　11　(7)　358-358　2022/06/23
Publisher: {MDPI} {AG}
DOI： 10.3390/ijgi11070358 　
Identifying Multiple Scales of Spatial Heterogeneity in Housing Prices Based on Eigenvector Spatial Filtering Approaches Peer-reviewed

Zhan Peng, Ryo Inoue

ISPRS International Journal of Geo-Information　11　(5)　283 (12 pages)　2022/04/28

DOI： 10.3390/ijgi11050283 　
RELATIVITY ANALYSIS BETWEEN AREAL REDUCTION FACTORS AND CORRLATION STRUCTURE IN SPATIAL EXTREME MODELS BASED ON RADAR RAIN GAUGE DATA Peer-reviewed

Ryo INOUE, Tsubasa ISHIKAWA

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)　77　(2)　I_1159-I_1164　2021/11
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejhe.77.2_i_1159 　

ISSN： 2185-467X
Specifying multi-scale spatial heterogeneity in the rental housing market: The case of the Tokyo metropolitan area Peer-reviewed

PENG Zhan, INOUE Ryo

Proceedings of 11th International Conference on Geographic Information Science (GIScience 2021)　2021/09/01

DOI： 10.25436/E2201T 　
Short-term Prediction of Local Traffic Conditions Reflecting the Relationship between Traffic Variables by Deep Learning Peer-reviewed

Shizuha BABA, Ryo INOUE

JSTE Journal of Traffic Engineering　7　(2)　A_110-A_118　2021/02/01

DOI： 10.14954/jste.7.2_A_110 　

ISSN： 2187-2929
Short-term Prediction of Local Traffic Conditions Reflecting the Relationship between Traffic Variables by Deep Learning Peer-reviewed

Shizuha BABA, Ryo INOUE

625-629　2020/09
Optimization-Based Construction of Quadrilateral Table Cartograms Peer-reviewed

Ryo Inoue, Mao Li

ISPRS International Journal of Geo-Information　9　(1)　43-43　2020/01/14
Publisher: {MDPI} {AG}
DOI： 10.3390/ijgi9010043 　
IMPACT OF FLOOD EXPERIENCES AND RISKS ON LAND PRICES IN FREQUENTLY-FLOODED AREAS: A CASE STUDY ON NAGOYA CITY Peer-reviewed

Kohei HATORI, Ryo INOUE

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)　76　(2)　I_703-I_708　2020
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejhe.76.2_i_703 　

ISSN： 2185-467X

eISSN： 2185-467X
Short-term traffic volume prediction by neural network considering connectivity types between road links Peer-reviewed

YOSHIDA Koji, INOUE Ryo

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)　75　(5)　I_1059-I_1067　2019/12
Publisher:
DOI： 10.2208/jscejipm.75.i_1059 　

ISSN： 2185-6540
Detecting local characteristics: Regional analyses based on fused-MCP Invited

INOUE Ryo

Proceedings of the Thirty-First RAMP Mathematical Optimization Symposium　143-157　2019/11
Short-term traffic volume prediction at a signalised intersection using LSTM Peer-reviewed

MASUDA Ryo, INOUE Ryo

GeoComputation 2019　2019/09

DOI： 10.17608/k6.auckland.9842216.v1 　
Extracting area and period of influence of new rail service on real estate market using fused-MCP Peer-reviewed

DEN Koichiro, INOUE Ryo

GeoComputation 2019　2019/09

DOI： 10.17608/k6.auckland.9842270.v1 　
Table cartogram generation as an optimization problem Peer-reviewed

Ryo Inoue

Abstracts of the ICA　1　214:1-2　2019/07/15

DOI： 10.5194/ica-abs-1-214-2019 　

ISSN： 2570-2106

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<jats:p>Abstract. A table cartogram, visualization of table-form data, is a rectangle-shaped table in which each cell is transformed to express the magnitude of positive weight by its area while maintaining the adjacency relationship of cells in the original table. Winter (2011) applies an area cartogram generation method of Gastner and Newman (2004) for their generation, and Evans et al. (2018) proposes a new geometric procedure. The rows and columns on a table cartogram should be easily recognized by readers, however, no methods have focused to enhance the readability. This study proposes a method that defines table cartogram generation as an optimization problem and attempts to minimize vertical and horizontal deformation. Since the original tables are comprised of regular quadrangles, this study uses quadrangles to express cells in a table cartogram and fixes the outer border to attempt to retain the shape of a standard table.This study proposes a two-step approach for table cartogram generation with cells that begin as squares and with fixed outer table borders. The first step only adjusts the vertical and horizontal borders of cells to express weights to the greatest possible degree. All cells maintain their rectangular shape after this step, although the limited degree of freedom of this operation results in low data representation accuracy. The second step adapts the cells of the low-accuracy table cartogram to accurately fit area to weight by relaxing the constraints on the directions of borders of cells. This study utilizes an area cartogram generation method proposed by Inoue and Shimizu (2006), which defines area cartogram generation as an optimization problem. The formulation with vertex coordinate parameters consists of an objective function that minimizes the difference between the given data and size of each cell, and a regularization term that controls the changes of bearing angles. It is formulated as non-linear least squares, and is solved through the iteration of linear least squares by linearizing the problem at the coordinates of vertices and updating the estimated coordinates until the value of the objective function becomes small enough. </jats:p>
Identification of geographical segmentation of the rental apartment market in the Tokyo Metropolitan Area Peer-reviewed

INOUE Ryo, ISHIYAMA Rihoko, SUGIURA Ayako

10th International Conference on Geographic Information Science (GIScience 2018)　32:1-32:6　2018/08

DOI： 10.4230/LIPIcs.GISCIENCE.2018.32 　

ISSN： 1868-8969
An analysis on relationship between flood depth and decline in residential property prices after Hurricane Sandy Peer-reviewed

INOUE Ryo, OTSU Hayato, IUCHI Kanako

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) [Annual Journal of Hydraulic Engineering]　74　(4 [62])　I_1315-I_1320　2018/03

DOI： 10.2208/jscejhe.74.i_1315 　

ISSN： 2185-467X
Distribution and Characteristics of Frequent Inland Inundation Areas in Osaka City Peer-reviewed

NAKAGUCHI Kota, KOMORI Daisuke, INOUE Ryo, KAZAMA So

Journal of Japan Society of Hydrology and Water Resources　31　(1)　9-16　2018/01

DOI： 10.3178/jjshwr.31.9 　

ISSN： 0915-1389
Airspace sectorization based on the Voronoi diagram of air traffic control points Peer-reviewed

YOSHIDA Koji, INOUE, Ryo

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)　73　(5)　I_1023-I_1031　2017/12

DOI： 10.2208/jscejipm.73.i_1023 　

ISSN： 2185-6540
Flood impacts on residential property prices in frequently flooded areas: Evidences from Kanda river basin, Tokyo Peer-reviewed

INOUE Ryo, KOMORI Daisuke

Proceedings of the 15th International Conference on Computers in Urban Planning and Urban Management.　2017/07
Spread of traffic congestion detected by traffic sensor data mining in Naha City Peer-reviewed

INOUE Ryo, MIYASHITA Akihisa, SUGITA Masatoshi

JSTE Journal of Traffic Engineering　3　(2)　A_145-A_152　2017/02

DOI： 10.14954/jste.3.2_A_145 　

ISSN： 2187-2929
Travel pattern analysis from trajectories based on hierarchical classification of stays Peer-reviewed

INOUE Ryo, TSUKAHARA Motohide

Ninth International Conference on GIScience Short Paper Proceedings　150-154　2016/09

DOI： 10.21433/B3111wv9s715 　
Mining of spatio-temporal traffic congestion patterns in urban areas from traffic sensor data Peer-reviewed

INOUE Ryo, MIYASHITA Akihisa, SUGITA Masatoshi

Proceedings of the 36th Coference of Japan Society of Traffic Engineers　36　27-32　2016/08
Publisher:
ISSN： 1884-300X
Spatial cluster detection imposing constraint on shape complexity in networks Peer-reviewed

Ryo Inoue, Motohide Tsukahara

Theory and Applications of GIS　24　(1)　39-48　2016/06/30

DOI： 10.5638/thagis.24.39 　

ISSN： 1340-5381 2185-5633
Detecting a change-point of flood risk influence on land price Peer-reviewed

Ryo Inoue, Masaya Nagayoshi, Daisuke Komori

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) [Annual Journal of Hydraulic Engineering]　72　(4)　I_1309-I_1314　2016/03

DOI： 10.2208/jscejhe.72.I_1309 　

ISSN： 2185-467X
A proposal for land price information service based on comparison between appraised prices and transaction prices Peer-reviewed

Ryo Inoue, Ayako Sugiura, Shigeaki Yoneyama, Wataru Nakanishi

土木学会論文集D3 (土木計画学)　73　(1)　1-13　2016/01/20
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejipm.72.1 　

ISSN： 2185-6540

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In Japan, the disclosure of in-depth land price data is increasingly considered to be critical to establishing transparent and fair land markets. The land market value publication by the Land Appraisal Committee, under the Ministry of Land, Infrastructure, Transport and Tourism, and prefectural governments (chika-koji and chika-chosa in Japanese) have played a major role in land pricing, and since 2005, publicly accessible real estate transaction prices have also been integral components of land pricing. However, these datasets alone do not provide adequate information to all market participants. The appraised prices often differ from actual transaction prices, and important transactional information such as the precise location, time, and attributes of properties are restricted due to privacy constraints. Further, appraised prices are not easily comparable with actual transaction prices due to dissimilar distribution points. In this paper, we propose the publication of land price information by interpolating appraised prices for every transaction location using kriging, and comparing them to actual transaction prices; subsequently, we draw a map that allows us to easily understand trends in land prices. In addition, we develop an experimental online database that allows for easily searchable interpolated appraised land prices, accompanied by land price history and local market conditions.
Extraction of industry coagglomeration patterns from small area statistics: An approach by the FDR-based cluster detection and the frequent pattern mining of industry clusters Peer-reviewed

Ryo Inoue

Proceedings of 14th International Conference on Computers in Urban Planning and Urban Management　146-1-146-18　2015/07/07
Cluster detection in networks by controlling shape flexibility level Peer-reviewed

Motohide Tsukahara, Ryo Inoue

Extended Abstract Proceedings of the GIScience 2014　441-445　2014/09
Statistical detection of multiple clusters of point events in small-area analysis based on false discovery rate Peer-reviewed

Ryo Inoue

Extended Abstract Proceedings of the GIScience 2014　311-314　2014/09
Visualization of Origin-Destination trip matrices through applications of neighborhood graph Peer-reviewed

Eihan Shimizu, Ryo Inoue

Transport Policy Studies' Review　16　(3)　23-31　2013/12
Publisher:
DOI： 10.24639/tpsr.TPSR_16R_14 　

ISSN： 1344-3348
Spatio-temporal cluster detection of point events by hierarchical search of adjacent area unit combinations Peer-reviewed

Ryo Inoue, Shiho Kasuya, Takuya Watanabe

Proceedings of 13th International Conference on Computers in Urban Planning and Urban Management　2013/07
An Approach to the Construction of Simple-Shaped Non-Contiguous Area Cartograms Peer-reviewed

Ryo Inoue

Theory and Applications of GIS　20　(1)　11-22　2012/06
Publisher:
ISSN： 1340-5381
Generalized approach to construction of simple-shaped non-contiguous area cartograms Peer-reviewed

Ryo Inoue

Proceedings of 25th International Cartography Conference　2011/07
A New Construction Method for Circle Cartograms Peer-reviewed

Ryo Inoue

CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE　38　(2)　147-153　2011/04

DOI： 10.1559/15230406382147 　

ISSN： 1523-0406

eISSN： 1545-0465
New solution for construction of rectilinear area cartogram Peer-reviewed

Ryo Inoue, Kazuki Kitaura, Eihan Shimizu

Proceedings of 24th International Cartography Conference　2009/11
詳細道路交通情報を利用した道路交通所要時間の視覚化Webサービスの構築 Peer-reviewed

Inoue, Ryo, Endo, Shuhei, Shimizu, Eihan

応用測量論文集　20　77-84　2009/06
Study on applicability of cokriging to estimation of land transaction price Peer-reviewed

Yonghe Li, Ryo Inoue, Eihan Shimizu

Proceedings of 11th International Conference on Computers in Urban Planning and Urban Management　2009/06
Spatio-temporal interpolation based on moving average model Peer-reviewed

Seya, Hajime, Tsutsumi, Morito, Inoue, Ryo, Ishida, Haruo, Okamoto, Naohisa

応用地域学研究　(13)　47-58　2008
Visualization of spatial distribution and temporal change of land prices for residential use in Tokyo 23 wards using spatio-temporal kriging Peer-reviewed

Ryo Inoue, Naoyuki Kigoshi, Eihan Shimizu

Proceedings of 10th International Conference on Computers in Urban Planning and Urban Management　2007/07
A new method for constructing continuous area cartograms -Visualization tool for statistical data in GIS era- Peer-reviewed

Inoue, Ryo, Shimizu, Eihan

Journal of Japan Society of Civil Engineers　(779/IV-66)　147-156　2005
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscej.2005.779_147 　

ISSN： 0289-7806

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A continuous area cartogram is a transformed map in which the map regions are resized relative to the geographic distribution of a data set. It is expected to be an effective visualization tool for statistical data in the GIS era. The construction of continuous area cartograms is an ill-posed problem, for it is impossible to decide the region's shape by its size. Although many solutions have been proposed, none of these are mathematically clear, user-friendly, or computable in short calculation times. We propose a simple, practicable, and fast algorithm which solves these exiting problems in this paper.
A new method for constructing circle area cartogram Peer-reviewed

Inoue, Ryo, Shimizu, Eihan

Theory and Applications of GIS　13　(1)　43-50　2005
Publisher: Geographic Information Systems Association
DOI： 10.5638/thagis.13.43 　

ISSN： 1340-5381

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Area cartograms are transformed maps that display data of regions using map area. Since their construction and usage have some difficulties, their simplified form, circle area cartogram, has been proposed. Circle area cartograms omit to represent the shapes and contiguity of regions, and consequently achieve their simple construction method. The simplicity in their construction makes them popular, as some statistical software has adopted them as one of data visualization options. However, their previous solution sometimes outputs cartograms that are difficult to read, since it does not necessarily retain the geographical distribution of regions. Then we propose a new construction method of circle area cartogram that preserves geographical distributions of regions and creates readable cartograms, and show some examples of applications.
A generalized solution of time-distance mapping Peer-reviewed

Shimizu, Eihan, Inoue, Ryo

Journal of Japan Society of Civil Engineers　(765/IV-64)　105-114　2004
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscej.2004.765_105 　

ISSN： 0289-7806

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Time-distance mapping is a method to obtain a spatial configuration of points, so that the Euclidean distances between points consist with the given time-distances. The approaches are divided broadly into two categories. One deals with the time-distances between all pairs of points. Multidimensional scaling (MDS) is generally applied to the solution. Another deals with the limited number of time-distances given to some of point-pairs such as links of a transportation network. However, no mathematical solution has been proposed for this type of time-distance mapping. This paper proposes the generalized solution of the two types of time-distance mapping based on the non-linear least squares, which is mathematically clear and of practical use.
A generalized solution of time-space mapping Peer-reviewed

Eihan Shimizu, Ryo Inoue

Proceedings of 8th International Conference on Computers in Urban Planning and Urban Management　2003/05
2粒径混合砂を用いた大型海浜断面実験と粒径別漂砂量の算出 Peer-reviewed

田中正博, 井上亮, 佐藤愼司, 磯部雅彦, 渡辺晃, 池野正明, 清水隆夫

海岸工学論文集　47　(1)　551-555　2000/10

DOI： 10.2208/proce1989.47.551

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Misc. 13

三角網分割を用いた連続エリアカルトグラムの作成手法

Inoue, Ryo, Shimizu, Eihan

オペレーションズ・リサーチ　51　(4)　193-198　2006/04
地点間の方位角拘束を用いた時間地図作成問題の汎用解法

Shimizu, Eihan, Inoue, Ryo

オペレーションズ・リサーチ　51　(4)　199-204　2006/04
大都市における内水氾濫頻発区域の分布とその特性―大阪市を対象とした解析―

中口幸太, 小森大輔, 小柳津唯花, 室井佳純, 井上亮, 風間聡

土木学会年次学術講演会講演概要集(CD-ROM)　71st　ROMBUNNO.II‐111　2016/08/01
点事象の地理的集積検出に基づく地域分析

井上亮

月刊測量　65　(3)　6-11　2015/03/01
Publisher: 日本測量協会
ISSN： 0285-7790
OD交通量データの視覚的表現手法に関する研究

Eihan Shimizu, Ryo Inoue

運輸政策研究　15　(2)　86-89　2012/07
Publisher: 運輸政策研究所
ISSN： 1344-3348
時間地図による都市内道路交通所要時間の視覚化―バスICカードデータを用いた東京都心部への適用―

Shimizu, Eihan, Inoue, Ryo, Kutsunai, Yuichi

運輸政策研究　13　(4)　66-70　2011/01
Publisher: 運輸政策研究所
ISSN： 1344-3348
道路交通所要時間の視覚化

Inoue, Ryo

地図情報　29　(4)　14-16　2010
Publisher: 地図情報センタ-
ISSN： 0286-3111
Information Provision by the Comparison of Real Estate Transaction Prices and Official Land Price Indexes

INOUE Ryo, TACHIBANA Ichidai, SHIMIZU Eihan

18　335-338　2009/10/15
The applicability of cokriging to land-transaction price interpolation

LI Yonghe, INOUE Ryo, SHIMIZU Eihan

17　245-248　2008/10/23
An Improved continuous area cartogram construction algorithm and its applications to large-scale problems

INOUE Ryo, KITAURA Kazuki, SHIMIZU Eihan

17　263-266　2008/10/23
Visualization of land price distribution using spatio-temporal kriging

YOSHIDA Yutaro, INOUE Ryo, SHIMIZU Eihan, LI Yonghe

17　249-252　2008/10/23
カルトグラム作成手法の提案

井上亮

GISNEXT　(18)　83　2007/01/15
Publisher: 株式会社ネクストパブリッシング
連続エリアカルトグラム作成の新手法

Inoue, Ryo, Shimizu, Eihan

測量　56　(8)　10-13　2006/08/01
Publisher: 日本測量協会
ISSN： 0285-7790

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Books and Other Publications 7

地図の事典

[監修] 日本地図学会

朝倉書店　2021/11

ISBN: 9784254163582
空間解析入門都市を測る・都市がわかる

共著者多数

朝倉書店　2018/08

ISBN: 9784254163568
土木計画学ハンドブック

共著者多数

コロナ社　2017/03/31

ISBN: 9784339052527
地理情報科学 GISスタンダード

共著者多数

古今書院　2015/03

ISBN: 9784772252867
測量工学ハンドブック

共著者多数

朝倉書店　2005/06/20

ISBN: 4254261489
土木技術検定試験問題で学ぶ体系的知識（改訂版）

井上亮, 杉山俊幸

ぎょうせい　2019/05
土木技術検定試験問題で学ぶ体系的知識

共著者多数

ぎょうせい　2011/09/10

ISBN: 4324093598

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Presentations 43

Detecting Local Characteristics: Regional Analyses Based on Fused-MCP Invited

INOUE Ryo

The Thirty-First RAMP Mathematical Optimization Symposium　2019/11/22
Fused MCPを利用した地域分析の可能性－点事象の集積検出と不動産市場の地理的分割分析への応用－ Invited

井上亮

第13回日本統計学会春期集会　2019/03/10
不動産市場の動向をいかに伝えるか取引価格情報を利用した新たな情報提供の提案 Invited

井上亮

国土交通省土地の日フェア2012シンポジウム　2012/10/01
不動産価格形成の実態把握に向けて―空間統計手法と機械学習手法によるアプローチ― Invited

井上亮

日本オペレーションズ・リサーチ学会東北支部支部研究会　2018/06/28
主要管制地点を母点としたボロノイ図に基づく航空管制のセクター形状最適化 Invited

井上亮

国土交通省CARATSオープンデータ活用促進フォーラム　2017/12/04
点事象データから地域を観る Invited

井上亮

日本写真測量学会関西支部支部特別講演会　2017/06/30
主要管制地点を母点としたボロノイ図に基づく航空管制のセクター形状最適化 Invited

井上亮

土木計画学ワンデイセミナー No.85 これからの空港と次世代航空交通システムの進化　2017/05/26
時空間上の近傍関係に基づく滞在の符号化を利用した移動履歴分類の提案

塚原元英

地理情報システム学会研究発表大会　2016/10/15
Travel pattern analysis from trajectories based on hierarchical classification of stays International-presentation

Motohide Tsukahara

Ninth International Conference on Geographic Information Science　2016/09/27
車両感知器データのマイニングによる都市内渋滞の時空間形態抽出

宮下明久, 杉田正俊

第36回交通工学研究発表会　2016/08/08
車両感知器データのマイニングによる都市内の渋滞パターンの時空間分析

宮下明久

土木計画学研究発表会　2016/05/28
時空間的近接関係を考慮した滞在行動の符号化に基づく移動履歴分析手法の研究

塚原元英

土木計画学研究発表会　2016/05/28
管制仕事量の低減を目指した航跡データを用いた日本の空域分割

吉田幸司

土木計画学研究発表会　2016/05/28
大都市における“内水氾濫頻発区域”の分布とその特性

中口幸太, 小森大輔, 小柳津唯花, 室井佳純, 風間聡

土木学会東北支部技術研究発表会　2016/03/05
水害危険性が地価に与える影響の変化点推定

永吉真也, 小森大輔

地理情報システム学会東北支部研究交流会　2015/12/10
マイニングによる共集積産業の組み合わせ発見手法の提案

志賀康平

応用地域学会　2015/11/28
水害危険度が地価に与える影響の変遷 ―地域社会の危険性に対する認識変化の抽出に向けて―

永吉真也

土木計画学研究発表会　2015/11/21
水害危険度指標が地価に与える影響の変化時点抽出

永吉真也

地理情報システム学会研究発表大会　2015/10/10
共集積する産業集合の抽出方法の提案

志賀康平

地理情報システム学会研究発表大会　2015/10/10
交通感知器データに基づく都市内の渋滞発生・拡大形態の時空間分析

土木計画学研究発表会　2015/06/06
点事象集積検出を応用した産業共集積形態分析の提案

志賀康平

土木計画学研究発表会　2015/06/06
Extraction of industry coagglomeration patterns from small area statistics using spatial cluster detection and frequent pattern mining International-presentation

61st Annual North American Meetings of the Regional Science Association International　2014/11/12
形状制約を設定したネットワーク上の点事象集積領域検出法の提案

塚原元英

地理情報システム学会研究発表大会　2014/11/07
産業の共集積形態分析の試行

志賀康平

地理情報システム学会研究発表大会　2014/11/07
Statistical detection of multiple clusters of point events in small-area analysis based on false discovery rate International-presentation

Eighth International Conference on Geographic Information Science　2014/09/23
Cluster detection in networks by controlling shape flexibility level International-presentation

Motohide Tsukahara

Eighth International Conference on Geographic Information Science　2014/09/23
複数の柔軟な形状を持つ点事象集積地域の検出法の開発

糟谷志帆

土木計画学研究発表会　2014/06/07
形状複雑度設定に応じたネットワーク上における点事象集積領域検出法

塚原元英

土木計画学研究発表会　2014/06/07
リンクの接続関係を利用したネットワーク上の点事象集積領域の検出法の開発

古郡美佳

土木計画学研究発表会　2013/06/01
ネットワーク上における点事象集積の検出法に関する研究

古郡美佳

土木学会東北支部技術研究発表会　2013/03/09
大阪市における内水氾濫頻発区域の分布とその特性

室井佳純, 小柳津唯花, 中口幸太, 米本慶央, 風間聡, 小森大輔

土木学会東北支部技術研究発表会　2013/03/09
階層的な隣接地域結合操作に基づく点事象の時空間集積検出の提案

糟谷志帆

地理情報システム学会研究発表大会　2012/10/13
地域間流動の視覚的表現法に関する研究

宗永英起, 清水英範

地理情報システム学会研究発表大会　2012/10/13
時空間における地価形成要因影響度の変遷・差異を考慮した普遍クリギングによる地価内挿の実証的検討

川松祐太

土木計画学研究発表会　2012/06/02
不動産取引価格情報に基づく小地域単位の市況情報の抽出

糟谷志帆

土木計画学研究発表会　2012/06/02
Generalized Approach to Construction of Simple-shaped Non-contiguous Area Cartograms International-presentation

The 25th Conference of the International Cartographic Association　2011/07/04
不動産取引事例情報に基づく取引位置・価格水準の時空間集積の抽出

渡邉拓也

土木計画学研究発表会　2011/05/28
ublication of comparison information between interpolated appraised land prices and transaction land prices International-presentation

Wataru Nakanishi, Ayako Sugiura, Taku Nakano, Shigeaki Yoneyama

GeoViz 2011　2011/03/10
公示地価時空間内挿値と取引価格の比較を通した地価情報提供の提案

杉浦綾子, 中野拓, 米山重昭

応用地域学会　2010/12/04
A new construction method for circle cartograms International-presentation

Autocarto 2010　2010/11/15
Publication of land price information through the comparison of interpolated appraised prices and transaction prices International-presentation

Wataru Nakanishi, Ayako Sugiura, Taku Nakano, Shigeaki Yoneyama

Autocarto 2010　2010/11/15
非連続面積カルトグラム作成問題の新解法

地理情報システム学会研究発表大会　2010/10/23
取引価格と公的地価指標の比較を通した地価情報提供の検討

中西航, 杉浦綾子, 中野拓, 米山重昭

地理情報システム学会研究発表大会　2010/10/23

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Research Projects 17

空間統計学と機械学習の融合による時空間回帰の開発・ツール化

村上大輔, 瀬谷創, 菅澤翔之助, 井上亮

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 基盤研究(B)

Institution: 統計数理研究所

2024/04/01 - 2029/03/31
地域間関係に潜む空間的異質性を抽出する：空間相互作用や空間相関構造の表現の高度化

井上亮, 瀬谷創, 村上大輔, 吉田崇紘

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 基盤研究(B)

Institution: 東北大学

2024/04 - 2028/03
災害・気候変動対応策への投資と社会的脆弱性・地域復元力の関係解明：NY市を対象に

井内加奈子, 井上亮, 大津山堅介

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 国際共同研究加速基金(国際共同研究強化(B))

Institution: 東北大学

2022/10 - 2027/03
Extraction of multi-scale spatial heterogeneity

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2021/04 - 2024/03
Evaluation of extreme rainfall distribution in spatial

Kazama So

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Challenging Research (Exploratory)

Institution: Tohoku University

2019/06 - 2022/03

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The spatial return period is defined as "the period until the extreme precipitation occurs again in the target area". We used d4PDF with spatial resolution of 20 km to analyze the large ensemble data of thousands of years. The use of d4PDF improves the accuracy of extreme precipitation estimation and also enables spatial analysis of extreme precipitation due to its spatial data. The spatial return period (RP) of the 100-year extreme precipitation over Japan is 1.61 years in the historical simulation and 1.14 years in the +4-K future simulation. We clarified the relationship between the annual area of occurrence of RP100-year extreme precipitation and its probability. In addition, Japan is divided into four areas according to latitude, and the spatial return period is compared for each region. It is found that the spatial return period of high latitude area such as Hokkaido region is about 1.7 times longer than that of low latitude regions such as Kyushu and Shikoku region.
Multi-scale hierarchical congestion cotrol strategies based on stability properties of dya-to-day traffic flow patterns in metropolitan express networks

Akamatsu Takashi

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2018/04 - 2021/03

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This study analyses the within-day/day-to-day variability of traffic conditions based on long-term observation (traffic counter) data on the metropolitan expressway network, and reveals the day-to-day stability of 1) the spatial distributions of congestion, 2) the patterns of transition between the spatial distributions of congestion within a day, and 3) the route choice and OD demand patterns of users. Based on these stability properties, we develop dynamic traffic assignment (e.g., dynamic user equilibrium and system optimal assignment) models of network flows, and theoretically clarifies the characteristics (e.g., regularities of traffic/queuing patterns) and relationships between these models. As an application of the theory, novel hierarchical control strategies for congestion mitigation, which includes dynamic ramp control and dynamic congestion pricing, are developed.
Point cluster detection of socio-economic events for regional monitoring

Inoue Ryo

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2018/04 - 2021/03

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In this study, we developed new analysis methods to detect regions and time periods with high event probabilities that differ from the surrounding areas from point event data, which is a type of geospatial data that records the occurrence points and time points of events. The proposed method is based on sparse modeling, a machine learning technique. We also extended the proposed methods to Bayesian statistical methods and developed methods that can clearly show the reliability of the estimation results, which is not possible with existing methods. The proposed methods are validated by using simulated data, and their usefulness as regional analysis methods is confirmed by applying them to real data such as crime location dataset.
Development of methods for detecting agglomerated area from spatial high resolution data with applications to urban and transportation fields

FUKUMOTO JUNYA, UJIIE AKIHITO

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2014/04/01 - 2018/03/31

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The objective of this research project is to develop various methods for detecting agglomerated area from spatial high resolution data, and to find spatial characteristics of spatial phenomenon by applying proposed methods to real urban and transportation data. First, we developed a method that can overcome the limitations of existing methods and detect flexible-shaped agglomerated area. Second, we developed a method that can find agglomerated area from time-space data. Third, we investigated the existence of rank-size rule in the spatial industrial agglomeration pattern, and investigated the spatial hierarchical pattern in the multiscale functional regions structures.
Exploration and Exploitation of Properties of Macroscopic Fundamental Diagrams for Managing Traffic Congestion in Road Networks

Akamatsu Takashi

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2015/04 - 2018/03

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This study explores the empirical properties of Macroscopic Fundamental Diagrams(MFD) linking vehicle accumulation and traffic production in road networks, and then develops traffic control methods exploiting the properties of MFDs and a theory to explain them. More specifically, (1) by analyzing long term detectors data (traffic flow-speed data observed every 1-minute throughout one year) of Japanese major cities, we revealed the basic properties of MFDs, and characterized the conditions for emergence of a well-defined MFD;(2) we developed a theory (mathematical models) to explain the mechanisms for the empirically observed properties of MFDs and the relationships between congestion patterns and MFD features;(3)we developed traffic control methods (signal control and ramp metering strategies) to improve performance (throughput) of congested networks based on the theory developed in (2).
Mining of spatio-temporal patterns of congested traffic in urban areas from traffic sensor data

Ryo Inoue

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Challenging Exploratory Research

Institution: Tohoku University

2014/04 - 2017/03

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Road traffic condition in cities are complicated by the daily, weekly, seasonally, and weather-induced traffic demand fluctuations and the effects caused by the control of traffic signals. Therefore, it is difficult to quantitatively analyze typical traffic congestion patterns that are represented by the time and place of occurrence, the process of propagation and diminution, duration time, and many others. This study proposed a method to enumerate traffic congestion patterns from traffic sensor data based on frequent pattern mining developed in information science to understand the present situations of traffic congestion in cities. The feasibility and effectiveness of the proposed method have been evaluated through the analysis of typical congestion patterns using the traffic sensor data in Okinawa, Japan.
Data fusion theory for describing travel behavior in networks and its applications

Hato Eiji

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (A)

Institution: The University of Tokyo

2013/04 - 2017/03

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We developed new methods for travel behavior analysis based on the fusion of huge and precise human trajectory data and implemented an urban management technique with multi-scale simulation that was able to describe human movements from the within-zone level to the between-zone level across the metropolitan area. We generalized the time discount term as GRL model by recursive expression and then clarified its theoretical properties. Moreover techniques of such as three-dimensional behavior analysis with Wi-Fi data, combined estimation with two kinds of behavioral data of different resolutions and automatic identification of behavioral contexts were proposed, which expanded the range of elemental analytical techniques for behavior in networks. By conducting these researches in conjunction with the evaluation of measures and plans on transportation in multiple cities, we confirmed the methods that had applicability to the real issues.
Application strategies of advanced spatial analysis techniques in the fields of geographic information science and urban engineering

Suzuki Tsutomu, MURAYAMA Yuji, OHSAWA Yoshiaki, SUGITA Michiaki, WATANABE Shun, TSUTSUMI Morito, AMEMIYA Mamoru, MORIMOTO Takehiro, KOARAI Mamoru, OHTSU Shou, INOUE Ryo, WATANABE Daisuke, KOMAKI Nobuhiko, MIYAGAWA Masashi, KOBAYASHI Takafumi, LEE Sohee, NAKAJIMA Hidetoshi, NAKANO Takayuki, CHOI Yuran, MURAKAMI Daisuke, TAMESUE Kazuki, EOM Sunyong

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (A)

Institution: University of Tsukuba

2012/04 - 2016/03

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This study aims to develop new spatial analysis techniques by combining spatial analysis methods which have been advanced and utilized in geography and geographical information science, and techniques of urban engineering which have been developed and used so as to create human settlements, and strategically utilize developed techniques for the decision-making process. The research unit is organized with faculties of engineering and geography of the University of Tsukuba as main members in cooperation with young and spirited faculties from other universities and builds up a common platform by sharing ArcGIS site license. This study focuses on following methods and seeks to enhance spatial analysis techniques which can be utilized in both geographical information science and urban engineering: Advancement and strategic application of spatial statistical analysis method, of location optimization and network analysis, and of spatial simulation technique.
Integration of spatial statistical methods for regional analysisin a data rich environment

INOUE Ryo

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Young Scientists (B)

Institution: Tohoku University

2010 - 2012

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This study integrated spatial analysis methods by spatial statistics and quantitative geography, proposed new regional analysis methods, and checked their applicability. First, a new model for spatio-temporal interpolation of point attributes was proposed. It was confirmed that the new model could acquire higher interpolation precision than the previous models; however, it revealed that it required considerable calculation time and lacked in practicability. Second, a new method for detecting spatio-temporal clusters of point events which have flexible shape was proposed, and its applicability was confirmed by the experiment.
Upgrading of the synthetic travel behavioral survey incorporating the data fusion theory based on probe technologies

HATO Eiji, ASAKURA Yasuo, YAMAMOTO Toshiyuki, MORIKAWA Takayuki, KAWANO Hiroyuki, KURAUCHI Shinya, ZHANG Junyi, TAKAMI Atsushi, IRYO Takamasa, SASAKI Kuniaki

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (A)

Institution: The University of Tokyo

2009 - 2012

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It turns to the advancement of the synthetic behavioral survey by the data fusion theory which used probe technology, development of the automatic identification algorithm of the behavioral context, the traffic survey and management systems based on probe data, and the mobility service incorporating these have been done. While the possibility of the synthetic behavioral survey which used for the probe technology which can store the same individual's time series behavior data was shown, possibility of probe technologies towards evaluations of various real-time transportation policies. By combining an Adaboost algorithm with SVM according to using especially sensor information, It succeeded in enabling automatic travel behavior identification by95% or more using the smart phone which has an accelerometer. With constituting the synthetic travel behavior data platform which combined PP technologies and PT survey data, the possibility was shown about the shift to all the year type travel survey from the one-shot travel survey, and transport planning using synthetic advanced travel survey technologies.
Developments of the spatial analysis techniques with the fusion ofgeographic information science and urban engineering fields

SUZUKI Tsutomu, MURAYAMA Yuji, OSAWA Yoshiaki, SUGITA Michiaki, WATANABE Shun, TSUTSUMI Morito, MORIMOTO Takehiro, OHTSU Shou, INOUE Ryo, WATANABE Daisuke, MIYAGAWA Masashi, LEE Sohee

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (A)

Institution: University of Tsukuba

2009 - 2011

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The purpose of this research is to integrate two spatial analysis techniques which are developed in geography/geographic information science and urban engineering - a basic science for space where people live, and designing new space for human beings - for developing and sharing research skills for the new technique of spatial analysis. Though there are various spatial analysis techniques, they are separated into three fields in the project. This research project enhanced the spatial analysis technique and tried to share and develop new insight of spatial analysis with searching the possibility of application in both fields (1) Small area, spatio-temporal integrated data analysis techniques and data mining (2) Locational optimization and network analysis techniques (3) Spatial simulation techniques for townscape planning and spatial behavior analysis
Practical Applications of Spatial Econometrics to Infrastructure Planning

TSUTSUMI Morito, INOUE Ryo

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

Category: Grant-in-Aid for Scientific Research (C)

Institution: University of Tsukuba

2008 - 2010

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The study refers to the limitations of the spatial econometrics approach, which is a subfield of statistics that deals with the treatment of spatial socio-economic data, to empirical modeling for policy analysis, forecasting and evaluation in infrastructure planning. Then, the study presents empirical analyses with regard to the so-called spatial effects (spatial autocorrelation and heteroscedasticity) based on the spatial econometrics approach. The study focuses on (1) project benefits evaluation, (2) analysis on regional income disparities based on the neoclassical growth model, and (3) change in the areal unit for statistical data brought about by municipal mergers.
プローブカーデータを用いた都市内道路交通状況の視覚化手法開発

井上亮

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 若手研究(B)

Institution: 東京大学

2006 - 2007

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本研究の目的は,詳細な都市内道路交通所要時間情報の視覚化手法の検討である.距離カルトグラムによる表現と等所要時間線による表現について検討を行い,都市内交通条件の時間的変化や地域間の交通サービス水準の違いを効果的・印象的に表現できる手法を構築した. まず,地図上の地点間距離で所要時間を表現するよう地図変形して視覚化する距離カルトグラムの利用に関する検討では,所要時間を都心・郊外方向に分けて表現することで,都市内の所要時間変化を効果的に表現できることが確認された.また,より視認性の高い表現を行うため,距離カルトグラム形状に合わせて地図画像を変形・内挿するアルゴリズムを提案し,様々な距離カルトグラム形状に対して全自動で地図画像内挿の実行を可能にし,距離カルトグラムによる印象的な視覚化を簡単に利用することが可能になった. また,地図上に等所要時間線を描く表現については,Web地図サービスを活用したシステムを構築した.出発(到着)地点・高速利用の有無等をWeb上で入力すると,対象地域全域に対して時刻毎の所要時間を計算し,等時間線を地図上に描くシステムである.時刻毎に作成された等所要時間線のアニメーション表示や,異なる地点の比較,また,救急病院等複数施設までの所要時間を表現する機能等を備えており,都市内のアクセシビリティの地域格差や,交通サービス水準の時刻変化を表現することができる.構築したシステムは,東京都心部20km四方の情報を,ユーザの入力から応答まで1秒程度で表現する実用性の高いものとなっており,所要時間情報視覚的表現の一例を示すことができた. 以上のように,本研究では詳細な都市内道路交通所要時間情報の視覚化手法の検討を行い,都市内の交通条件の時間的変化や地域間の交通サービス水準の違いを効果的・印象的に表現できる実用的な手法を構築した.

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2012/07/28 - 2012/09/09

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講演「不動産市場の動向をいかに伝えるか取引価格情報を利用した新たな情報提供の提案」
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Media Coverage 1

地価公示制度50周年記念特集 ≪第1弾≫ オープンデータ化のもたらす未来－普及の歴史を振り返り，さらなる利活用の可能性を探る－

不動産鑑定

2019/03

Type: Newspaper, magazine