基于PSR模型的黄河流域城市韧性评价  被引量:3

Urban Resilience Assessment of Yellow River Basin Based on PSR Model

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作  者:李博雅 史维良 LI Boya;SHI Weiliang(School of Statistics,Xi’an University of Finance and Economics,Xi’an 710100,China)

机构地区:[1]西安财经大学统计学院,西安710100

出  处:《科技和产业》2023年第17期98-103,共6页Science Technology and Industry

摘  要:随着城市面对不确定因素的风险不断增加,韧性作为一种新的理念逐渐被应用到城市风险治理中。基于PSR(压力-状态-响应)模型对黄河流域城市韧性水平进行评价,通过核密度函数、障碍度模型探究黄河流域城市韧性水平的时空分布特征及其影响因素。结果表明:黄河流域城市韧性水平在2006—2020年呈上升趋势,在空间上呈现“东高西低,南高北低”的格局;影响黄河流域城市韧性主要障碍因子为经济状态、创新能力和保障能力综合作用的结果。With the risk of city facing uncertain factors increasing gradually,resilienceis gradually applied to urban risk management as a new concept.The PSR(pressure-state-response)model is used to evaluate the level of urban resilience in the Yellow River basin.Based on the kernel density function and obstacle degree model,the temporal and spatial distribution characteristics of urban resilience and its influencing factors in the Yellow River basin are studied.The results show that the urban resilience level of the Yellow River basin shows an upward trend from 2006 to 2020,with a spatial pattern of“High in the east and low in the west,high in the south and low in the north”.The main obstacle factors affecting urban resilience in the Yellow River basin are the result of comprehensive effects of economic status,innovation ability and guarantee ability.

关 键 词:城市韧性 韧性评价 PSR(压力-状态-响应)模型 核密度估计 障碍度分析 

分 类 号:F299.27[经济管理—国民经济]

 

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