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chin-et-al-2023-identifying-urban-functional-zones-by-analysing-the-spatial-distribution-of-amenities1.63 MB
Published VersionCC BY-NC V4.0, Open Access
Journal article
Identifying urban functional zones by analysing the spatial distribution of amenities
Environment and Planning B: Urban Analytics and City Science, Vol.51(6), pp.1274-1289
2024
Abstract
Comprehending urban form and function is crucial for effective urban planning and redevelopment. However, delineating urban functional zones and understanding the diverse activities within a city poses challenges. To address this, our study proposes a comprehensive analysis framework utilising point-of-interest (POI) data to identify and characterise urban functional zones and associated amenities. Leveraging geocoded user-generated content enables an effective capture of the spatial structure of human activities. We applied our framework in case studies in two Singapore locations, demonstrating its effectiveness in identifying urban functional zone shapes and examining associated amenities. The findings reveal a spatial configuration of amenities across the urban area, highlighting a diversity often differing from planned land-uses. This underscores the complex and non-uniform nature of the urban living experience, as observed variations in mixed uses challenge the homogeneity of intended land-use types. Our study and analysis framework provide a foundation for further investigations, including exploring travel behaviour patterns and assessing the vibrancy and vitality of urban areas.
Details
- Title
- Identifying urban functional zones by analysing the spatial distribution of amenities
- Authors
- Wei Chien Benny Chin - Singapore University of Technology and DesignYuming Fu - National University of SingaporeKwan Hui Lim - Singapore University of Technology and DesignThomas Schroepfer - Singapore University of Technology and DesignLynette Cheah (Corresponding Author) - Singapore University of Technology and Design
- Publication details
- Environment and Planning B: Urban Analytics and City Science, Vol.51(6), pp.1274-1289
- Publisher
- Sage Publications Ltd.
- Date published
- 2024
- DOI
- 10.1177/23998083231217376
- ISSN
- 2399-8091; 2399-8083
- Copyright note
- © The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991029389802621
- Output Type
- Journal article
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- Environmental Studies
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- Regional & Urban Planning
- Urban Studies
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