Planning for Sustainable Land Use and Built Environment in High-Density Cities
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Architectural Design, Urban Science, and Real Estate".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 2114
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Guest Editors are pleased to invite submissions to a Special Issue of Buildings, entitled “Planning for Sustainable Land Use and Built Environment in High-Density Cities”. Buildings occupy land during their full life cycle and are significant constituents of the built environment of human beings. In high-density cities, the population is massive and requires liveable and convenient urban living, which requires smart arrangement of buildings and building clusters. Planning land use and the built environment with sustainability in mind supports sustainable building construction, producing high-quality human settlements for dwellers, the arrangement of urban activities and the improvement of urban vitality. As urban systems, especially those in high-density cities, becomes increasingly complex, an in-depth and comprehensive understanding of how land use and the environment evolve, perform, operate, etc., will assuredly aid in planning and adjustment. The rise of new technologies and new data environment, in the meantime, has the potential to offer new clues in disclosing land use patterns and perceiving the built environment, thus further informing planning practice accordingly. This Special Issue calls for attention and discussion on up-to-date findings of sustainable land use and built environment (e.g., characteristics, mechanisms and main contributors), as well as the frontiers of planning technics and approaches to actualize the sustainability. Potential topics include, but are not limited to:
- Theoretical and empirical studies on sustainable, mixed land use in high-density built environment;
- Sustainable assessment of land use and built environment aided by new data/approaches;
- Evolution and change of urban land use and built environment alongside urban transformation;
- Advances of technologies or methods applied to land use and built environment planning;
- Machine learning and quantitative methods measuring built environment;
- Planning practices of compact and intensive land use;
- Three-dimensional planning and research of smart built environment
Dr. Lingyue Li
Guest Editor
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. Buildings 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.
Keywords
- smart spatial planning
- intensive/mixed land use
- high-density built environment
- sustainability
- three-dimensional
- compact development
- machine learning
- land use change and evolution
- data-driven approach
- quality environment
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