Harnessing the Geospatial Data Revolution for Promoting Sustainable Transport Systems

Dear Colleagues,

A sustainable transport system plays a vital role in a successful society, the construction and operation of which require the support of considerable amounts of transport data from a variety of sources to inspect road asset conditions; track traffic flow dynamics; monitor transport emergencies; analyse traffic safety, equality, and accessibility, etc. With the advancement of new and scalable data sources, robust acquisition methodologies, and transmission techniques, unprecedented amounts of traffic information are being generated and collected from various data sources, such as roadside sensors, very-high-resolution (VHR)/HR satellite imagery, streetscape observations, sensor-rich mobile devices, and connected and autonomous vehicles (CAVs). Compared with conventional data sources, these emerging geospatial big datasets are massive in size, spatiotemporally fine-scaled, and high-dimensional (e.g., multivariate and multivalued), providing researchers with rich and timely information to effectively manage transport systems and gain new insights into different transport challenges (e.g., crashes, congestion, emissions, mobility inequality). However, managing and analysing these big complex datasets expose new problems and challenges in terms of strategies to promote multiple aspects, including (1) data integration, enrichment, storage, archiving, and sharing; (2) data quality control (e.g., reducing data uncertainty and redundancy); (3) data security, integrity, and privacy; and (4) data processing, analysis, and visualization.

This Special Issue invites the submission of original research papers and review articles that showcase the latest developments, innovations, and applications of emerging transport data in sustainable transport management and operations. Topics of interest include but are not limited to:

• Application of emerging geospatial data in road asset recognition, digitization, and inventorization;
• Application of emerging geospatial data in transport equity and accessibility, including environmental policy assessments;
• Application of new geo-visualization methods and platforms for exploring big transport data;
• Strategies for encouraging transport data sharing and protecting data privacy and security;
• Multi-source data fusion challenges and considerations in transport applications;
• Examining the role of geospatial big data in enhancing resilience and emergency responses for transport systems in the face of natural disasters, pandemics, and other crises.

You may choose our Joint Special Issue in Remote Sensing.

Dr. Xiao Li
Dr. Xiao Huang
Dr. Zhenlong Li
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information 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 1900 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.