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Geospatial Big Data for Urban Planning and Urban Management

Geo-spatial Information Science Special Issue Call for Papers

Deadline: 1 November 2019

Urban planning and urban management has been attracting more and more attentions over the past few years, which could deeply affect our daily lives. As time goes, more related geospatial big data sets are created and accumulated, which enable people get deeper understanding of the urban planning and management. Some theories, algorithms and advanced technologies could be created or used to mine valuable information from the geospatial big data to serve for the urban planning and urban management. Therefore, how to collect and use geospatial big data to describe, evaluate, and make decisions on the urban planning and urban management more intelligent and efficient, is a matter of concern.

We organize the Special Issue for the international journal Geo-spatial Information Science (GSIS) in order to utilize increasing geospatial big data to solve problems in the field of urban planning and urban management. The topic will include, but not be limited to, the following themes:

    • Theories and models of geospatial big data for urban planning and urban management
    • New algorithms and architectures of geospatial big data for urban planning and management
    • Big data collection methods for urban planning and urban management (e.g. social media, trajectory, remote sensing, lidar, sensors)
    • Spatiotemporal big data analysis and intelligence service in urban planning and urban management
    • Artificial intelligence with geospatial big data in urban planning and urban management
    • High performance and real time computing techniques and platforms for urban planning and urban management
    • Visualization methods and platforms for geospatial big data in urban planning and management
    • Applications of geospatial big data for urban planning and urban management (in land use, transportation, etc.)

 

Geo-spatial Information Science

Language: en-UK

Publisher: Taylor and Francis

Visit Journal Articles

Submission guidelines

Manuscripts should be submitted online at https://mc.manuscriptcentral.com/tgsi. Submitted articles should not have been published previously, or be consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. All accepted manuscripts will be published on GSIS with Open Access (OA) for free. All article publishing charges (APC) will be covered by Wuhan University, so you can enjoy the benefits of open access at no cost.

 

Perspective authors are recommended to prepare their manuscript by following the author instructions of the journal GSIS (Also see www.tandfonline.com/tgsi). Now Geo-spatial Information Science (GSIS) is indexed by the ESCI and other databases (Scopus, DOAJ, CSCD, GeoBase).

  • Note: ESCI (Emerging Sources Citation Index), along with SCIE and SSCI, which is launched by Clarivate Analytics, now is as a part of Web of Science Core Collection – with the standard of high-quality and peer-reviewed publications. Articles in ESCI are highly searchable, discoverable, and citable, making the content important to scientific community and evaluators visible in the world. Journals in ESCI have passed an initial editorial evaluation and can continue to be considered for inclusion in products such as SCIE and SSCI.

Important Dates:

  • Deadline for full paper manuscripts: November 1, 2019
  • Notification of acceptance/rejection: December 1, 2019
  • Expected online: February, 2020

Editorial Information

Guest Editors:

Huayi Wu: Wuhan University, China; Email: wuhuayi@whu.edu.cn

Published on 2nd September. Last updated on 2 September 2019.