Construction of disaster prevention capability evaluation framework of urban park system: methodology and its application in China
Abstract
The construction of disaster prevention capability evaluation framework is the basic requirement of building a sustainable and harmonious society under the background of urban public security. This study had constructed a framework for disaster prevention capability assessment of urban park systems applicable to China through rigorous logical reasoning and careful selection of indicators. The framework contains 4 first-level indicators and 8 second-level indicators and 21 third-level indicators. Quantitative methods and calculating procedures for each indicator and dynamic weight were also given in this paper. Finally, in order to prove the practical value of the evaluation system designed in this study, five cities in China were selected for application. The results showed that the indicator system can not only accurately quantify the disaster prevention capability of the urban park system, but also discover the shortcomings in the process of urban park system construction, which has strong theoretical and practical value.
Keyword : urban park, disaster prevention capability, evaluation framework
How to Cite
Fei, W., Wu, J., Shi, Y., & Chen, Q. (2020). Construction of disaster prevention capability evaluation framework of urban park system: methodology and its application in China. Journal of Environmental Engineering and Landscape Management, 28(1), 9-19. https://doi.org/10.3846/jeelm.2020.10790
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Fan, P., Xu, L., Yue, W., & Chen, J. (2017). Accessibility of public urban green space in an urban periphery: The case of Shanghai. Landscape and Urban Planning, 165, 177-192. https://doi.org/10.1016/j.landurbplan.2016.11.007
Güzey, Ö. (2016). The last round in restructuring the city: Urban regeneration becomes a state policy of disaster prevention in Turkey. Cities, 50, 40-53. https://doi.org/10.1016/j.cities.2015.08.010
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Kibert, C. J. (2016). Sustainable construction: green building design and delivery. John Wiley & Sons.
Kondo, M. C., Fluehr, J. M., McKeon, T., & Branas, C. C. (2018). Urban green space and its impact on human health. International Journal of Environmental Research and Public Health, 15(3), 445. https://doi.org/10.3390/ijerph15030445
La Rosa, D., Privitera, R., Barbarossa, L., & La Greca, P. (2017). Assessing spatial benefits of urban regeneration programs in a highly vulnerable urban context: A case study in Catania, Italy. Landscape and Urban Planning, 157, 180-192. https://doi.org/10.1016/j.landurbplan.2016.05.031
Li, F., Sutton, P. C., Anderson, S. J., & Nouri, H. (2017). Planning green space in Adelaide city: Enlightenment from green space system planning of Fuzhou city (2015–2020). Australian Planner, 54(2), 126-133. https://doi.org/10.1080/07293682.2017.1345962
Li, Z. M., Fan, Z. X., & Shen, S. G. (2018). Urban green space suitability evaluation based on the AHP-CV combined weight method: A case study of Fuping County, China. Sustainability, 10, 2656. https://doi.org/10.3390/su10082656
Liang, Y. (2015). Satisfaction with economic and social rights and quality of life in a post-disaster zone in China: Evidence from earthquake-prone Sichuan. Disaster Medicine and Public Health Preparedness, 9(2), 111-118. https://doi.org/10.1017/dmp.2015.7
O’Neill, R. V., Krummel, J. R., Gardner, R. H., Sugihara, G., Jackson, B., DeAngelis, D. L., Milne, B. T., Turner, M. G., Zygmunt, B., Christensen, S. W., Dale, V. H., & Graham, R. L. (1988). Indices of landscape pattern. Landscape. Ecology, 1(3), 153-162. https://doi.org/10.1007/BF00162741
Opitz, I., Berges, R., Piorr, A., & Krikser, T. (2016). Contributing to food security in urban areas: Differences between urban agriculture and peri-urban agriculture in the Global North. Agriculture and Human Values, 33(2), 341-358. https://doi.org/10.1007/s10460-015-9610-2
Ortolano, L. (2017). US urban environmental planning. In The profession of city planning (pp. 144-160). Routledge. https://doi.org/10.4324/9781315134253-17
Rigolon, A. (2016). A complex landscape of inequity in access to urban parks: A literature review. Landscape and Urban Planning, 153, 160-169. https://doi.org/10.1016/j.landurbplan.2016.05.017
Robles, P., Tello, A., Zúñiga-Prieto, M., & Solano-Quinde, L. (2018, August). Modeling 911 emergency events in CuencaEcuador using geo-spatial data. In International Conference on Technology Trends (pp. 564-577). Cham: Springer. https://doi.org/10.1007/978-3-030-05532-5_43
Smith, C. (2007). Urban disorder and the shape of belief: the great Chicago fire, the Haymarket bomb, and the model town of Pullman. University of Chicago Press. https://doi.org/10.7208/chicago/9780226764252.001.0001
Somma, R., Silvestro, M., Cascio, M., Dawson, L., Donnelly, L., Harrison, M., McKinley, J., & Ruffell, A. (2016, April). The use of a GIS Red-Amber-Green (RAG) system to define search priorities for burials. In EGU General Assembly Conference Abstracts (Vol. 18, p. 16379). European Geosciences Union.
Thierfelder, H., & Kabisch, N. (2016). Viewpoint Berlin: Strategic urban development in Berlin–Challenges for future urban green space development. Environmental Science & Policy, 62, 120-122. https://doi.org/10.1016/j.envsci.2015.09.004
Wei, Y., Huang, C., Li, J., & Xie, L. (2016). An evaluation model for urban carrying capacity: A case study of China’s megacities. Habitat International, 53, 87-96. https://doi.org/10.1016/j.habitatint.2015.10.025
Xiao, Y., Li, Z., & Webster, C. (2016). Estimating the mediating effect of privately-supplied green space on the relationship between urban public green space and property value: Evidence from Shanghai, China. Land Use Policy, 54, 439-447. https://doi.org/10.1016/j.landusepol.2016.03.001
Zhang, B., Li, N., & Wang, S. (2015). Effect of urban green space changes on the role of rainwater runoff reduction in Beijing, China. Landscape and Urban Planning, 140, 8-16. https://doi.org/10.1016/j.landurbplan.2015.03.014