Big Data and GeoAI for Sustainable Urban Development

Dear Colleagues,

The rapid global urbanization process has brought about a series of urban issues, such as traffic congestion, human‒land conflict, resource consumption, etc. Quantitative research on the relationship between urban land use and human activities in cities is of great significance for achieving sustainable development and smart cities. In recent years, with the development of information network technology, massive amounts of big data such as POIs, mobile signaling, taxis, and street view datasets have emerged. These have provided a new perspective for understanding urban spatial structure and human activity patterns from a micro-, humanistic, and social perspective. GeoAI technologies such as machine learning and micro-geographic simulation methods (GeoSOS and FLUS) have provided important tools for mining human activity patterns and explaining the micro-mechanism of the relationship between urban spatial structure and human activities. Hence, integrating multi-source big data to understand the complex impact mechanism between residents' activities and urban spatial structure from a micro and humanistic social perspective is essential for promoting the optimization of urban spatial structures and guiding green and low-carbon human travel. This would contribute to achieving smart transportation and smart city planning. 

For this Special Issue, we invite you to submit original research articles to provide insights on big data and GeoAI technology use for sustainable land resources management and urban development.

(3) Suggested themes and article types for submissions.

This Special Issue will welcome manuscripts that link the following themes:

• Built environment and transportation travel;
• Land use and transportation;
• Land-related aspects of big data and energy consumption;
• Land resources management and urban renewal.

We look forward to receiving your original research articles and reviews.

Dr. Shaoying Li
Dr. Tian Lan
Dr. Yilun Liu
Dr. Zheng Cao
Guest Editors

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 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.

• big data
• GeoAI
• land use and transportation
• urban studies
• urban renewal
• spatial mobility