Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters
Safety has become the bottom line and fundamental goal of urban renewal with the accelerated urbanization process. Building a safe and stable urban residential environment is a meaningful way to improve cities’ “social-ecological” resilience. Based on the theory of environmental crime prevention and...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2023-11-01
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Series: | Journal of Asian Architecture and Building Engineering |
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Online Access: | http://dx.doi.org/10.1080/13467581.2023.2278462 |
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author | Yu Wen Hong Qi Tao Long |
author_facet | Yu Wen Hong Qi Tao Long |
author_sort | Yu Wen |
collection | DOAJ |
description | Safety has become the bottom line and fundamental goal of urban renewal with the accelerated urbanization process. Building a safe and stable urban residential environment is a meaningful way to improve cities’ “social-ecological” resilience. Based on the theory of environmental crime prevention and space syntax, taking Tiexinli old residential area in Qinhuangdao City as the research object, using Depth map software to quantitatively analyze the integration degree, synergy degree, connectivity degree, depth value, visual clustering coefficient, and choice value of the residential space, the results show that the accessibility of the spatial system of the old residential area is differentiated. The accessibility of the by-pass road is the lowest and lacks activity support. The spatial layout of the residential area is single and concurrent, and the entrances, exits, and the subsidiary road fail to play a good role in ” access control. ” The environment and landscape of green space between houses and negative space in the residential area are poorly maintained, and the visibility effect is limited. Therefore, the renovation of the old residential area should focus on optimizing the road system, increasing the monitoring of the activities of the people, and enriching the activities of the public space. This research contributes to addressing potential crime issues in urban renewal. It offers feasible and forward-looking approaches to crime prevention and control in the redevelopment of old residential areas in Asian countries. Additionally, this method can be applied in the planning and design of new residential areas to identify and rectify potential crime risks within design schemes, ensuring the safety and living quality of residential communities. |
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language | English |
last_indexed | 2024-03-10T00:56:25Z |
publishDate | 2023-11-01 |
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series | Journal of Asian Architecture and Building Engineering |
spelling | doaj.art-18bc3c20582b4b4a85708818092220082023-11-23T14:41:27ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522023-11-010012010.1080/13467581.2023.22784622278462Quantitative analysis and design countermeasures of space crime prevention in old residential area quartersYu Wen0Hong Qi1Tao Long2Yanshan UniversityYanshan UniversityQinhuangdao Architectural Design Institute Co. LtdSafety has become the bottom line and fundamental goal of urban renewal with the accelerated urbanization process. Building a safe and stable urban residential environment is a meaningful way to improve cities’ “social-ecological” resilience. Based on the theory of environmental crime prevention and space syntax, taking Tiexinli old residential area in Qinhuangdao City as the research object, using Depth map software to quantitatively analyze the integration degree, synergy degree, connectivity degree, depth value, visual clustering coefficient, and choice value of the residential space, the results show that the accessibility of the spatial system of the old residential area is differentiated. The accessibility of the by-pass road is the lowest and lacks activity support. The spatial layout of the residential area is single and concurrent, and the entrances, exits, and the subsidiary road fail to play a good role in ” access control. ” The environment and landscape of green space between houses and negative space in the residential area are poorly maintained, and the visibility effect is limited. Therefore, the renovation of the old residential area should focus on optimizing the road system, increasing the monitoring of the activities of the people, and enriching the activities of the public space. This research contributes to addressing potential crime issues in urban renewal. It offers feasible and forward-looking approaches to crime prevention and control in the redevelopment of old residential areas in Asian countries. Additionally, this method can be applied in the planning and design of new residential areas to identify and rectify potential crime risks within design schemes, ensuring the safety and living quality of residential communities.http://dx.doi.org/10.1080/13467581.2023.2278462cpted theoryspace syntaxold residential area of citiescrimesecurity |
spellingShingle | Yu Wen Hong Qi Tao Long Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters Journal of Asian Architecture and Building Engineering cpted theory space syntax old residential area of cities crime security |
title | Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters |
title_full | Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters |
title_fullStr | Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters |
title_full_unstemmed | Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters |
title_short | Quantitative analysis and design countermeasures of space crime prevention in old residential area quarters |
title_sort | quantitative analysis and design countermeasures of space crime prevention in old residential area quarters |
topic | cpted theory space syntax old residential area of cities crime security |
url | http://dx.doi.org/10.1080/13467581.2023.2278462 |
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