Geospatial Big Data and Transport
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (30 June 2017) | Viewed by 59257
Interests: city science; big data analytics; sustainable urban planing; city structure and dynamics; the livingness of space
Special Issues, Collections and Topics in MDPI journals
The emerging geospatial big data, such as massive GPS traces, smart cards, cell phones, and social media users’ locations and trajectories, constitute a fundamental new instrument for transport and mobility research, likely to replace conventional transport data collection for many applications in the near future. The data are usually accurately measured, individual based, and often available in real-time, differing significantly from conventional transport data that are often estimated, aggregated, and delayed in time. These data characteristics make geospatial big data extremely powerful and instrumental in transport and mobility research. Not only being large in size, but also complex in structure, such as social connections, makes such big data unique. How to develop new insights into the big data for better understanding transport systems, and human travel behaviors accordingly is a major challenge for researchers in the fields of geographic information science and transport. We believe that data-intensive computational methods, such as big data analytics, complex networks, visual analytics, and agent-based simulations are among the powerful tools for uncovering the underlying structure and dynamics of transport system and human travel behaviors. After an era of initial exploration, one can argue that today we have the tools, the data and the maturity to embark into a second generation of exploiting rich geospatial data, in a way that will transform how we measure, model, and improve transport and human mobility applications. We therefore call for papers (both review and research) that exploit emerging big data for developing new insights into transport systems and human travel behaviors. Suggested topics include, but are not limited to:
- Reviews on the state of the art in geospatial big data and transport
- Human mobility patterns derived from social media data
- GPS traces for understanding human mobility
- Smart cards for uncovering human travel behavior
- Transport structure and dynamics based on topological and scaling analyses
- Agent-based simulations of human travel behaviors
Prof. Dr. Bin Jiang
Prof. Dr. Constantinos Antoniou
Manuscript Submission Information
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