Advances in Urban Mobility Analysis, Air Quality Modelling and Spatiotemporal Data Science for Urban Pollution, Health and Social Disparities

A special issue of Urban Science (ISSN 2413-8851).

Deadline for manuscript submissions: 30 September 2026 | Viewed by 33

Special Issue Editors


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Guest Editor
Department of Mathematics, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
Interests: air quality modeling; health co-benefits; air pollution forecasting; climate mitigation

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Guest Editor
Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Interests: remote sensing; aerosols; air pollutions; public health

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Guest Editor
Department of Geography and Planning, University of Liverpool, Liverpool L69 7ZB, UK
Interests: human mobility; geographic data science; network analysis; mathematical modelling

Special Issue Information

Dear Colleagues,

Urbanisation, industrial activity, and rising energy demand have intensified the complex interactions that shape urban environments, with urban mobility emerging as a central driver of both economic activity and environmental change. The flows of people and goods influence patterns of energy consumption, vehicle emissions, and, ultimately, urban air quality. Mobility-driven emissions contribute to elevated concentrations of particulate matter (PM), ozone (O3), and other pollutants, posing risks to respiratory and cardiovascular health, contributing to premature mortality, and diminishing quality of life. The impacts of mobility-related air pollution are often disproportionately borne by vulnerable and disadvantaged communities, exacerbating social and health inequities.

Addressing these challenges requires innovative, data-driven, and multidisciplinary approaches. Advances in mobility analysis, spatiotemporal data science, satellite remote sensing, and machine learning allow us to better simulate, monitor, and forecast how changes in urban movement patterns affect air quality. New forms of digital trace data (e.g., mobility phone, GPS, and transport smart card data) can capture mobility dynamics at fine spatial and temporal scales, enabling the integration of transport behavior into urban air quality models.

This Special Issue welcomes original research articles and reviews that advance the understanding of how urban mobility interacts with air quality, health impacts, and social disparities. We encourage studies that integrate multiple data sources, explore scenario-based modelling of mobility interventions, and link their findings to urban planning, environmental policy, and public health strategies.

Topics of interest include, but are not limited to, the following:

  • Modelling the effects of urban mobility patterns on air quality;
  • Health exposure assessment and social disparity analysis related to mobility-driven pollution;
  • Integration of mobile phone, GPS, and other digital trace data and satellite data into air quality modelling;
  • Machine learning for improved spatiotemporal air pollution mapping of mobility and pollutant exposure;
  • Big data analytics and multi-source data fusion in urban computing;
  • Air quality modeling refinement and emission projection in the context of sustainable mobility and carbon neutrality;
  • Satellite remote sensing and emission inversion modelling for transport-related studies.

We look forward to receiving your contributions.

Dr. Xuguo Zhang
Dr. Changqin Lin
Dr. Carmen Cabrera
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. Urban Science 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 1600 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
  • air quality
  • sustainably cities
  • urban health
  • vehicle emissions
  • particulate matter (PM)
  • ozone (O3)
  • remote sensing
  • spatiotemporal analysis
  • machine learning
  • social/health disparities
  • big data analysis
  • climate mitigation

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Published Papers

This special issue is now open for submission.
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