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https://doi.org/10.17559/TV-20201101064943

A Multi-source Data Based Analysis Framework for Urban Greenway Safety

Junyi Su ; School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua E Road, Beijing, China
Weida Yin* ; School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua E Road, Beijing, China
Renfei Zhang ; School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua E Road, Beijing, China
Xiyao Zhao ; Institution, Beijing Forestry University, 35 Tsinghua E Road, Beijing, China
Olivier Ngoko Chinkam ; School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua E Road, Beijing, China
Hanwen Zhang ; School of Engineering and Applied Science, University of Pennsylvania, 2930 Chestnut st EVO, Philadelphia, Pennsylvania, 19104, US
Fei Li ; School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua E Road, Beijing, China
Le Kang ; East China Inventory and Planning Institute of the State Administration of Forestry and Grassland, Hangzhou, Zhejiang, China

Puni tekst: engleski, pdf (5 MB) str. 193-202 preuzimanja: 53* citiraj
APA 6th Edition
Su, J., Yin*, W., Zhang, R., Zhao, X., Chinkam, O.N., Zhang, H., ... Kang, L. (2021). A Multi-source Data Based Analysis Framework for Urban Greenway Safety. Tehnički vjesnik, 28 (1), 193-202. https://doi.org/10.17559/TV-20201101064943
MLA 8th Edition
Su, Junyi, et al. "A Multi-source Data Based Analysis Framework for Urban Greenway Safety." Tehnički vjesnik, vol. 28, br. 1, 2021, str. 193-202. https://doi.org/10.17559/TV-20201101064943. Citirano 20.04.2021.
Chicago 17th Edition
Su, Junyi, Weida Yin*, Renfei Zhang, Xiyao Zhao, Olivier Ngoko Chinkam, Hanwen Zhang, Fei Li i Le Kang. "A Multi-source Data Based Analysis Framework for Urban Greenway Safety." Tehnički vjesnik 28, br. 1 (2021): 193-202. https://doi.org/10.17559/TV-20201101064943
Harvard
Su, J., et al. (2021). 'A Multi-source Data Based Analysis Framework for Urban Greenway Safety', Tehnički vjesnik, 28(1), str. 193-202. https://doi.org/10.17559/TV-20201101064943
Vancouver
Su J, Yin* W, Zhang R, Zhao X, Chinkam ON, Zhang H i sur. A Multi-source Data Based Analysis Framework for Urban Greenway Safety. Tehnički vjesnik [Internet]. 2021 [pristupljeno 20.04.2021.];28(1):193-202. https://doi.org/10.17559/TV-20201101064943
IEEE
J. Su, et al., "A Multi-source Data Based Analysis Framework for Urban Greenway Safety", Tehnički vjesnik, vol.28, br. 1, str. 193-202, 2021. [Online]. https://doi.org/10.17559/TV-20201101064943

Sažetak
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.

Ključne riječi
big geodata; data analysis; greenway safety; urban greenway

Hrčak ID: 251550

URI
https://hrcak.srce.hr/251550

Posjeta: 115 *