Special Issue "Geographic Data Science and Sustainable Urban Developments"
Deadline for manuscript submissions: closed (31 October 2019).
Interests: spatial and spatiotemporal analyses; computational urban geography; GIS modeling; real estate economics; active transportation; built and natural environment; health geography
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Interests: geocomputation; machine learning; big data; cellular models; agent based model; land use change; mobility
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. 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 data science 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 Special Issue is to publish original research and review papers in order to synthesize the discussion on the application of the latest advances in geographic data science to understand urban developments, their dynamics, and sustainability, and the underlying key mechanisms. Further, this special issue 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.
Assoc. Prof. Marco Helbich
Dr. Hichem Omrani
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly 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 1800 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.
- computational methods
- machine learning
- data science
- spatial and spatiotemporal statistics
- natural and built environments