Coming soon.

本小委員会では、2025年1月9日（木）に国際セミナーを開催致します。多くの方のご参加をお待ちしております。

 

■タイトル　公平で包括的な都市社会を拓く位置情報履歴データの活用　(英題：Harnessing Human Mobility Data for Equitable and Inclusive Cities)

■日時　2025年 1月9日(木) 14:00-16:30頃

■主催　土木計画学研究委員会 汎化加工された位置情報履歴データの有効活用に関する研究小委員会

■場所　土木学会 CD会議室　〒160-0004 東京都新宿区四谷一丁目 外濠公園内 公益社団法人土木学会

■定員　会場参加　最大30名（※先着順）+ Web開催（ハイブリッド開催）

■参加費　無料（事前申込制）

■会場参加の申込：https://www.jsce.or.jp/events/form/402404

■オンライン参加の申込：https://www.jsce.or.jp/events/form/4024041

■セミナーの趣旨

本国際セミナーは土木学会 土木計画学研究委員会「汎化加工された位置情報履歴データの有効活用に関する研究小委員会」が主催し，公平で包摂的な都市の実現に向けた人流データの活用を議論する．第一部の基調講演では「Quantifying Socio-spatial Inequality from Human Mobility Patterns（人の移動パターンによる社会空間的不平等の定量化」と題してUniversity College London のChen Zhong准教授からにご講演いただく．Zhong准教授は位置情報履歴データの専門家であり，社会的公平性，公共サービスアクセシビリティなどの観点から都市分析や公共政策評価に取り組んでいる．また，英国をはじめとした様々な国のデータを扱った経験から位置情報履歴データの倫理的課題，不完全なデータへの対処についても造詣が深い．続く第二部はワークショップとして4名から情報提供をいただき，オープンデータ等との融合や機械学習などの技術を駆使した位置情報履歴データの活用方法，能登半島地震などの応用事例を紹介する．本セミナーを通じて，国内外のプロバイダーが持つデータの活用事例とともに様々な課題を共有することで都市政策における人流データ活用の可能性を探りたい．

■セミナーの主な対象者　都市の公共政策にかかわる自治体・国担当者，コンサルタント，研究者を想定していますが，興味を持たれる方は，だれでもご参加ください．

■プログラム（概要）　※詳細は英語版をご参照ください

開会の挨拶　Prof Takeshi Kurihara

第一部　基調講演　2:00 pm – 2:50 pm

– Quantifying Socio-spatial Inequality from Human Mobility Patterns, Chen Zhong (UCL)

第二部　ワークショップ　2:50 pm – 4:30 pm

– Leveraging Big Data to Address Social Challenges and Enhance Urban Planning, Deepanshu Agarwal (LocationMind)

– Analysis of short-term anomalous changes in Japanese long-distance travel behavior using aggregate mobile phone location data, Hiromichi Yamaguchi (Kanazawa University)

– Evaluating Carbon Emissions of Intracity Travel for Sustainable Tourism Using Mobile Data, Sunkyung Choi (Science Tokyo)

– Human Mobility Changes in the Aftermath of the 2024 Noto Peninsula Earthquake, Fuko Nakai (Nagoya Institute of Technology)

閉会の挨拶　Dr Hideki Furuya

+++++++++++++++

Title: Harnessing Human Mobility Data for Equitable and Inclusive Cities

Date & Time: 2:00 pm – 4:30 pm, 9 January 2025

Host: Research Subcommittee on the Effective Use of Generalised Processed MPD (Mobile Positioning Data)

Location: Meeting room C, D at Japan Society of Civil Engineers, Yotsuya 1-chome, Shinjuku-ku, Tokyo JAPAN 160-0004

Capacity: 30 participants in maximum for on-site attendance + Online participation available (hybrid format)

Participation fee: Free (Registration Required)

■Application for on-site participation:  https://www.jsce.or.jp/events/form/402404

■Application for online participation:  https://www.jsce.or.jp/events/form/4024041

Focus of the Seminar:

This international seminar is hosted by the Research Subcommittee on the Effective Use of Generalised Processed MPD (Mobile Positioning Data) within the Japan Society of Civil Engineers (JSCE). It focuses on cutting-edge uses of human mobility data in urban policy, sharing examples from Japan and around the world while addressing key challenges. Dr Chen Zhong from University College London will give the keynote talk, titled ‘Quantifying Socio-Spatial Inequality from Human Mobility Patterns.’ She is an expert in urban analytics and policy evaluation, using human mobility data to develop methods for measuring social equity, public service access, and mobility within cities. After the keynote, the workshop will feature four speakers sharing both technical insights and case studies on topics such as combining various datasets, data decomposition, scenario-based analysis, and creating tools and indices to support fair and inclusive urban planning.

Open to: We welcome participation from anyone interested, including local and national policymakers involved in urban policy, consultants, and academic researchers.

Program:

Welcome Remarks Prof Takeshi Kurihara

 

Part 1 Keynote Talk 2:00 pm – 2:50 pm

Quantifying Socio-spatial Inequality from Human Mobility Patterns

Dr Chen Zhong, Centre for Advanced Spatial Analysis Faculty of the Built Environment, UCL, London, UK

Abstract: Human mobility data has proven invaluable for numerous location-based services. Recognising these opportunities, governments and industries have increasingly invested in exploring emerging spatial data products and data-driven solutions. However, challenges persist due to data ethical considerations, data bias, high costs, and more. This talk will present insights from our case studies in the UK, including our recently published work on measuring socio-spatial inequalities based on an activity space approach using fine-level mobile app data; and a study on the causality between transport policy and the high street economy using footfall data provided by a government-led collaborative data-sharing partnership.

Bio: Dr Chen Zhong is an associate professor of urban analytics at the Centre for Advanced Spatial Analysis, UCL. Her research focuses on urban mobility, emphasising three key aspects: (i) the utilisation of emerging human location data and advanced spatial analysis and modelling techniques, (ii) addressing broad transport-related issues such as socio-spatial inequalities and decarbonising transport, and (iii) applicability of methods in various urban contexts.

 

Part 2 Workshop 2:50 pm – 4:30 pm

Leveraging Big Data to Address Social Challenges and Enhance Urban Planning

Deepanshu Agarwal (LocationMind)

Abstract: Big data analytics offers powerful tools to quantify social challenges like poverty and guide urban infrastructure planning. This study integrates mobile GPS data, crowdsourced surveys, satellite data, and census data, to analyze travel behaviors and thus identifying gaps in accessibility and opportunities for improvement. The analysis maps origin-destination patterns provides actionable insights for optimizing routes, service frequency, and transport planning. By addressing disparities in mobility and promoting equitable access, this approach supports sustainable urban development strategies. Also, by combining these datasets with the informal settlements and hazard maps helps in identifying the vulnerable hotspots. Integrating traditional surveys with advanced data analytics fosters inclusive policies, enhances public transit systems, and prioritizes environmentally friendly solutions. This study demonstrates how data-driven urban planning can tackle socio-economic challenges, promoting accessibility, sustainability, and resilience in diverse urban settings.

Bio: Deepanshu is experienced in big data, AI, and urban planning, with a strong focus on disaster preparedness and addressing socio-economic challenges. Currently at LocationMind Inc. (2022–Present), I lead impactful projects using technology for social good. Previously at ADBI (2020–2022), I advanced liveable cities and sanitation initiatives, managed capacity-building events, and authored policy-focused publications. My interests lie in leveraging technology to drive sustainable urban development and create meaningful social impact.

 

Analysis of short-term anomalous changes in Japanese long-distance travel behavior using aggregate mobile phone location data

Hiromichi Yamaguchi (Kanazawa University)

Abstract:

Mobile phone location data has enabled us to observe unusual travel behavior in a large sample size. As a result, we can observe time-series changes in long-distance travel behavior, which is an unusual behavior for most people. In this study, short-term anomalous changes in long-distance travel are analyzed by the mobile phone location data in Japan. This analysis is expected to provide insight into the impact of special events such as disasters. Here, short-term anomalous changes are extracted by decomposing the 2,192-day time series into regular changes (seasonal changes, changes in weekly cycles, etc.) and others. Here, we focus on the decrease in behavior due to disasters, and compare the amount of the decrease among all pairs of prefectures. The results show that short-term anomalous decreases are less pronounced for pairs of prefectures connected by high-speed rail. This quantitatively demonstrates the values of more sophisticated long-distance travel services.

Bio: Dr Hiromichi Yamaguchi is an associate professor of Kanazawa University. His main research interest is in long-distance travel behavior through analysis of mobile phone location data. His recent papers include a spatio-temporal analysis of mobile data to understand changes in long-distance travel behavior due to high-speed rail, infectious diseases (COVID-19) and so on.

 

Evaluating Carbon Emissions of Intracity Travel for Sustainable Tourism Using Mobile Data

Sunkyung Choi (Science Tokyo)

Abstract: Tourism transportation accounts for approximately 46% of tourism-related GHG emissions, making its reduction crucial. This study focuses on intracity travel at tourist destinations, aiming to propose feasible policies to promote sustainable tourism by evaluating carbon emissions from tourism-related transportation. The study selects the Miura Peninsula in Kanagawa Prefecture as the research area, a region with high domestic tourism and the introduction of Tourism MaaS (Mobility as a Service). Using data provided by Blogwatcher, the study collects and analyzes the intracity travel data, conducting scenario analyses on shifts in transportation modes (e.g., from cars to public transportation or walking) and the adoption of EVs. This research aims to explore carbon emission reduction strategies for tourism transportation at the regional level in Japan, supporting the coexistence of tourism promotion and environmental conservation.

Bio: Sunkyung Choi is a lecturer at the Institute of Science, Tokyo, Japan. She holds a Ph.D. in transport planning, specializing in airport operations during disasters. Formerly a researcher at the Japan Transport and Tourism Research Institute, her work focuses on building sustainable, resilient, and inclusive cities through disaster management, transport planning, and tourism policy. Her recent research examines tourists’ spatiotemporal responses using a mixed-methods approach, including in-depth interviews, survey data, and multiple big data sources such as mobile phone location data, meteorological data, and textual data.

 

Human Mobility Changes in the Aftermath of the 2024 Noto Peninsula Earthquake

Fuko Nakai (Nagoya Institute of Technology)

Abstract: Disasters have a significant impact on our society. People often encounter considerable lifestyle changes, such as workplace and shifts in their place of residence, neighbourhood, and community. This study focuses on the 2024 Noto Earthquake and presents a preliminary analysis of individual-level mobility indices, including the number of unique activity points, which characterise the diversity and intensity of daily activities; the radius of gyration, representing the dispersion of individual activity spaces where people travel for urban activity resources; and self-containment, revealing the extent to which activities are undertaken in areas adjacent to one’s home. The analysis utilises fine-grained human mobility data from 2023 to 2024, provided by Blogwatcher.

Bio: Dr Fuko Nakai is an assistant professor at Nagoya Institute of Technology. Her research centres on disaster recovery, sustainable urban transitions, and human-water interactions. She integrates statistical modelling, optimisation, and agent-based modelling with innovative datasets, including human mobility data and long-term spatial land use data, to address challenges in this field.

 

Closing Dr Hideki Furuya.

Coming soon.

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