Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China
Transitional streets serve as intermediary spaces between the Central Business Districts (CBDs) and surrounding residential areas, offering diverse functions and activities within urban interiors. However, a practical methodology for accurately classifying these streets has been lacking, due primari...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113527/ http://psasir.upm.edu.my/id/eprint/113527/1/113527.pdf |
| _version_ | 1848866251269472256 |
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| author | He, Xiao Kozlowski, Marek Ujang, Norsidah Ma, Yue |
| author_facet | He, Xiao Kozlowski, Marek Ujang, Norsidah Ma, Yue |
| author_sort | He, Xiao |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Transitional streets serve as intermediary spaces between the Central Business Districts (CBDs) and surrounding residential areas, offering diverse functions and activities within urban interiors. However, a practical methodology for accurately classifying these streets has been lacking, due primarily to transitional areas’ spatial constraints and functional complexities. This study leverages Point of Interest (PoI) data from 2023 to develop an innovative methodological framework that addresses these challenges. This framework analyses transitional streets’ functional distribution and typology, employing PoI frequency density and functional type ratios to identify and classify functional zones. It generally delineates eight main types of transitional streets in the CBD of Chongqing, a prototypical hillside city. Utilising advanced data technology from internet maps, this research pioneers new approaches for identifying and analysing the functionality of transitional streets. The findings underscore the effectiveness of PoI data in precisely recognising the functional types of transitional streets, thereby providing a robust theoretical and practical foundation for the in-depth study of transitional streets. Moreover, the results enhance urban spatial planning in hillside cities of China, effectively demonstrating the advantages of PoI data in defining street typology compared to traditional methods. This approach provides a more detailed understanding of urban functional dynamics by allowing for a more nuanced data analysis of street functions. |
| first_indexed | 2025-11-15T14:17:38Z |
| format | Article |
| id | upm-113527 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:17:38Z |
| publishDate | 2024 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1135272024-11-26T03:22:36Z http://psasir.upm.edu.my/id/eprint/113527/ Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China He, Xiao Kozlowski, Marek Ujang, Norsidah Ma, Yue Transitional streets serve as intermediary spaces between the Central Business Districts (CBDs) and surrounding residential areas, offering diverse functions and activities within urban interiors. However, a practical methodology for accurately classifying these streets has been lacking, due primarily to transitional areas’ spatial constraints and functional complexities. This study leverages Point of Interest (PoI) data from 2023 to develop an innovative methodological framework that addresses these challenges. This framework analyses transitional streets’ functional distribution and typology, employing PoI frequency density and functional type ratios to identify and classify functional zones. It generally delineates eight main types of transitional streets in the CBD of Chongqing, a prototypical hillside city. Utilising advanced data technology from internet maps, this research pioneers new approaches for identifying and analysing the functionality of transitional streets. The findings underscore the effectiveness of PoI data in precisely recognising the functional types of transitional streets, thereby providing a robust theoretical and practical foundation for the in-depth study of transitional streets. Moreover, the results enhance urban spatial planning in hillside cities of China, effectively demonstrating the advantages of PoI data in defining street typology compared to traditional methods. This approach provides a more detailed understanding of urban functional dynamics by allowing for a more nuanced data analysis of street functions. Multidisciplinary Digital Publishing Institute 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/113527/1/113527.pdf He, Xiao and Kozlowski, Marek and Ujang, Norsidah and Ma, Yue (2024) Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China. Sustainability (Switzerland), 16 (11). art. no. 4690. pp. 1-23. ISSN 2071-1050; eISSN: 2071-1050 https://www.mdpi.com/2071-1050/16/11/4690 10.3390/su16114690 |
| spellingShingle | He, Xiao Kozlowski, Marek Ujang, Norsidah Ma, Yue Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China |
| title | Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China |
| title_full | Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China |
| title_fullStr | Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China |
| title_full_unstemmed | Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China |
| title_short | Defining inner-city transitional street typology using point of interest (PoI) data in hillside cities of China |
| title_sort | defining inner-city transitional street typology using point of interest (poi) data in hillside cities of china |
| url | http://psasir.upm.edu.my/id/eprint/113527/ http://psasir.upm.edu.my/id/eprint/113527/ http://psasir.upm.edu.my/id/eprint/113527/ http://psasir.upm.edu.my/id/eprint/113527/1/113527.pdf |