A Multi-source Data Based Analysis Framework for Urban Greenway Safety Article Swipe
Junyi Su
,
Weida Yin
,
Renfei Zhang
,
Xiyao Zhao
,
Olivier Ngoko Chinkam
,
Hanwen Zhang
,
Fei Li
,
Le Kang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.17559/tv-20201101064943
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.17559/tv-20201101064943
As a green lining open space, greenways are closely related to the life of urban residents. At present, reports of crimes occurring in greenways are emerging in an endless stream. In order to explore the factors affecting greenway safety, this study, under the guidance of CPTED theory, conducts research by means of big geodata. Three representative greenways in Beijing urban area—the Northwest Tucheng greenway, Second Ring Road greenway and the Three Mountains and Five Gardens greenway—are taken as the research objects. Through the utilization of big geodata information from each platform, including street view analysis, POI analysis, and sports activity data analysis, four factors including space boundary, maintenance, public surveillance and activity support are considered comprehensively, and important influencing factors are selected to construct the analysis framework for urban greenway safety. The results showed that the greenway with high safety has the characteristics of low density of arbor shrubs, low enclosure degree of walls, low distribution density of various buildings, high traffic flow and high frequency of use. The feasibility of the analysis framework is verified by the current situation of greenway safety, so as to provide scientific and reasonable technical support for the construction of safe urban greenways.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17559/tv-20201101064943
- https://hrcak.srce.hr/file/365698
- OA Status
- gold
- Cited By
- 4
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3157975942
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3157975942Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17559/tv-20201101064943Digital Object Identifier
- Title
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A Multi-source Data Based Analysis Framework for Urban Greenway SafetyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-02-07Full publication date if available
- Authors
-
Junyi Su, Weida Yin, Renfei Zhang, Xiyao Zhao, Olivier Ngoko Chinkam, Hanwen Zhang, Fei Li, Le KangList of authors in order
- Landing page
-
https://doi.org/10.17559/tv-20201101064943Publisher landing page
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https://hrcak.srce.hr/file/365698Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://hrcak.srce.hr/file/365698Direct OA link when available
- Concepts
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Computer science, Transport engineering, Environmental science, Environmental planning, Data science, EngineeringTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2024: 2, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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10Other works algorithmically related by OpenAlex
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