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Modern society is facing the challenge of sustainable mobility. Accessibility and sustainable mobility are central to smart and healthy city development, which not only requires clean travel modes but also involves equitable, healthful, and highly accessible resources and facilities. In recent years, the application and development of new geospatial datasets and methods have provided new possibilities for studying urban mobility and accessibility to support sustainable mobility planning. Our main area of interest is the development and application of geospatial technologies and methods in addressing key issues related to the sustainable mobility and accessibility of urban spaces.
This Special Issue calls for theoretical, methodological, policy, and empirical contributions on the topic of geospatial data and methods for sustainable accessibility and urban mobility. Relevant themes include but are not limited to: geospatial data analysis in transport geography; urban mobility and urban sustainability; and the development and application of new methods, approaches, and analytical frameworks for improving urban sustainability and urban infrastructure accessibility.
• Sustainable mobility
• Analyzing travel behavior using geospatial data
• Geospatial data analytics in mobility research
• Development and adoption of active travel modes
• Environmental impacts of motorized travel
• Urban infrastructure accessibility
• Transportation equalities
• Intelligent transport systems
• Human mobility
• Transport geography
• Transport planning and policy
• The recent COVID pandemic and spatial inequalities in mobility and accessibility
Please note that you may submit your manuscript anytime until the deadline. Papers will be sent out for review within a couple of days after submission and will be published within a few days after acceptance. Please visit the special issue’s webpage for more information and submission details:
https://www.mdpi.com/journal/sustainability/special_issues/geospatial_data_methods_sus_mobility_urban_accessibility
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