Geographic Data Science and Sustainable Urban Developments
Cities are complex environments composed of housing markets, transportation systems, population dynamics etc. challenging sustainable urban developments. While geographic information system-based urban analyses have reached certain levels of maturity to study cities, the capabilities and limitations of data-driven, geographic data science approaches to support urban theories as well as policy- and decision-making have not yet been adequately addressed. The recent technological progress led to increasing amounts of multi-dimensional data, inherently characterized by spatial and temporal dimensions. In this context, it is expected that cutting-edge computational methods linked to novel data sources promote deeper insights into urban processes in order to support urban environments for a more sustainable future.
To cope with these and related challenges, the objective of this session is to present research and review papers in order to synthesize the discussion on the application of the latest advances geographic data science to understand urban developments, their dynamics and sustainability, and the underlying key mechanisms. Further, this special session aims to stimulate the development of novel algorithms to understand cities in the broadest sense in the era of Big Data. We encourage both theoretical as well as application-oriented papers dealing with these emerging issues. Our interest is in papers that cover a wide spectrum of methodological and domain-specific topics.
Presenters will be invited to submit a full manuscript to the open access journal Sustainability where a related call for papers on a similar topic, edited by Hichem Omrani and Marco Helbich, is open. The submission deadline is October 31, 2019.