Data-Driven Urban Mobility Modeling
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 89
Special Issue Editors
Interests: multimodal transportation; travel behavior analysis; travel demand modeling; accessibility and mobility
Interests: equitable and sustainable mobility; transportation accessibility; transportation decarbonization; travel demand management; land use and transportation; urban heat and transportation
Special Issue Information
Dear Colleagues,
Urban mobility is evolving rapidly, driven by advances in data collection, machine learning, and computational modeling. The increasing availability of real-time data from GPS, mobile devices, intelligent transportation systems, and connected infrastructure has enabled the development of more precise, dynamic, and scalable mobility models. These data-driven approaches empower policymakers, urban planners, and researchers to design transportation systems that are more efficient, equitable, and sustainable. This Special Issue, "Data-Driven Urban Mobility Modeling", invites cutting-edge research that leverages data science, artificial intelligence, and simulation techniques to advance urban mobility modeling. We welcome original research articles, case studies, and review papers covering innovative methodologies, empirical analyses, and real-world applications in the following areas:
- Machine Learning and AI for Mobility Modeling: Applying machine learning, deep learning, reinforcement learning, and predictive modeling in transportation.
- Multimodal Transportation Analysis: Integrating diverse transportation modes—including public transit, ride-sharing, cycling, and walking—into cohesive urban mobility systems.
- Urban Traffic Management: Considering data-driven approaches for forecasting and mitigating congestion impacts on urban transportation networks.
- Agent-Based and Simulation Models: Exploring large-scale simulations of urban mobility, incorporating behavioral modeling and decision-making dynamics.
- Accessibility in Urban Mobility: Measuring and improving transportation access for all population cohorts using data-driven methods.
- Emerging Technologies: Assessing the impact of autonomous vehicles, connected vehicles, electric mobility, and shared mobility services on urban transportation.
- Big Data in Mobility Modeling: Leveraging large-scale datasets (e.g., GPS, mobile phones, connected vehicles), IoT, and sensor networks for mobility analysis.
- Transportation–Energy Nexus: Examining the interplay between energy consumption and urban mobility and its implications for sustainable transportation.
- Resilient and Adaptive Transportation Systems: Exploring data-driven strategies to enhance urban mobility resilience in the face of disruptions, climate change, and emergencies.
We encourage submissions that introduce novel methodologies, present interdisciplinary perspectives, and provide insights into real-world applications of data-driven urban mobility models. Research highlighting innovative mobility data analytics, policy implications, and frameworks for smart and sustainable cities is particularly welcome.
Dr. Sailesh Acharya
Dr. Chris Hoehne
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- urban mobility
- systems modeling
- multimodal transportation
- simulations
- data-driven modeling
- machine learning
- big data
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