Big Data-Driven Urban Spatial Perception

Dear Colleagues,

In recent years, rapid global urbanization has exacerbated critical urban challenges, including inefficient governance, resource scarcity, environmental degradation, and traffic congestion. Urban spatial perception, which characterizes urban spatial features based on human behavioral patterns, is pivotal for deciphering urban dynamics, optimizing public resource allocation, and enhancing spatial quality. Big data offers transformative potential by integrating multi-source information to record, in real time, diverse population movements, public sentiment in urban spaces, and environmental conditions. This capability presents a ripe opportunity to shift urban spatial perception from experience-driven to data-driven paradigms. Furthermore, artificial intelligence (AI) and big data technology can generate richer and more accurate insights into travel patterns, urban mobility and transportation, spatial vitality and quality, resource utilization efficiency, crime prediction, and public health and urban environments. These technologies also facilitate deeper mechanistic explanations of the underlying causes and interactions shaping urban systems.

The goal of this Special Issue is to invite academics and practitioners to submit original research articles and reviews to provide insights on big data-driven urban spatial perception.

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:

• Urban mobility and transportation;
• Human mobility and urban activity patterns;
• Urban spatial perception and city image;
• Sentiment analysis in urban spaces;
• Urban safety and crime prediction;
• Public health and urban environments.

We look forward to receiving your contributions.

Prof. Dr. Helin Liu
Dr. Guangliang Xi
Prof. Dr. Feng Zhen
Dr. Mingshu Wang
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 250 words) can be sent to the Editorial Office for assessment.

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.