Big Data in Urban Land Use Planning

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Urban Contexts and Urban-Rural Interactions".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 640

Special Issue Editors

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Guest Editor
Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77840, USA
Interests: urban planning; technology; social equity; scholarly impact
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Urban Digital Twin Lab, School of Modeling Simulation and Training, University of Central Florida, 3100 Technology Parkway, Orlando, FL 32826, USA
Interests: urban analytics; sustainable cities and communities; spatial statistics; spatial analysis and modelling; geodesign; planning support systems; urban digital twin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to urbanization and population growth, the problem of human–land conflict has become increasingly serious, and it seriously restricts the healthy and sustainable development of urban areas. Since the urban land use planning process is complex, involving social, economic, environmental, and political systems, the knowledge of how these systems interact is the domain of professional planners. Advances in artificial intelligence (AI) and big data technology present planners with a ripe opportunity to critically assess their approaches and explore how new data collection, analysis, and methods can augment the understanding of places as they seek to anticipate a future with an improved quality of life. Artificial intelligence (AI) and big data technology can offer access to more and better information about travel patterns, energy consumption, land utilization, and environmental impacts, while also helping to better integrate the various involved systems.

For this Special Issue, we invite you to submit original research articles and reviews to provide insights on big data and urban land use planning. Research areas may include (but are not limited to) the following:

  • Application of artificial intelligence (AI) and big data technology in urban land management;
  • Urban land use and transportation;
  • Multi-source heterogeneous spatiotemporal data fusion of urban land;
  • Geographic big data mining;
  • Urban land use change detection;
  • Modeling and simulation of urban land use changes;
  • Big data and multi-dimensional (above- and under-ground) urban land analysis.

We look forward to receiving your contributions.

Prof. Dr. Thomas W. Sanchez
Dr. Soheil Sabri
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 submissions that pass pre-check are 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. Land is an international peer-reviewed open access monthly 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 2600 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.


  • artificial intelligence (AI)
  • big data
  • technology
  • urban land
  • land use planning
  • data fusion

Published Papers

This special issue is now open for submission.
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