Special Issue "Neo-Geography and Crowdsourcing Technologies for Sustainable Urban Transportation"
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (30 November 2017)
Dr. Mohamed Bakillah
1. Senior Advisor of GIS Governmental Center, RAK, United Arab Emirates
2. Associated Senior Researcher, Department of Geomatic Engineering, Laval University, Canada
3. Associated Senior Researcher, GIScience research group, Heidelberg University, Germany
Website | E-Mail
Interests: GIScience; Big Data; volunteered deographic information; semantic interoperability and standards; mobiles; sensor networks; ad hoc networks; data mining; spatiotemporal analysis; reasoning
Dear Colleagues,The ongoing trend of urbanization has led to the accommodation of more than half of the world’s population in urban areas, and this percentage is predicted to rise to about 70% by 2050. This urban population growth would, in turn, have great impact on human activities, mainly urban transportation, which, in turn, impacts the Earth’s ecosystem.
Geo-information science and Earth observation provides valuable data and technologies for understanding and enhancing transportation processes. Within this context, and under the umbrella of neo-geography, geo-crowd sourcing, Location Based Social Networks (LBSN) and Volunteered Geographic Information (VGI) have recently became interesting sources for technologies that could potentially improve former urban systems and processes through providing up-to-date and detailed information. We welcome scholars to share their research on challenges and solutions of neo-geography and crowdsourcing technologies for Sustainable Urban Transportation.
Dr. Mohamed Bakillah
Manuscript Submission Information
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- Sustainable urban traveling
- Intelligent and Efficient Transportation Systems
- Smart city
- GI solution for Transportation and health sustainability
- Crowdsourcing and Volunteered Geographic Information
- Location-based social networks (LBSN)
- Big Data
- Spatial-temporal analysis