Spatial Characteristics and Influencing Factors of Urban Resilience from the Perspective of Daily Activity: A Case Study of Nanjing, China

被引:10
作者
Sun Honghu [1 ,2 ]
Zhen Feng [1 ,2 ]
机构
[1] Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China
[2] Nanjing Univ, Prov Engn Lab Smart City Design Simulat & Visuali, Nanjing 210093, Jiangsu, Peoples R China
关键词
urban resilience; daily activity; contradiction between supply and demand; big data; spatial characteristics; Nanjing; China; ECOLOGICAL RESILIENCE; RESIDENTS; METAPHOR; CITIES;
D O I
10.1007/s11769-021-1201-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on the connotation of urban resilience and the main contradictions of China's urbanization, urban resilience is placed within the main daily activities contradictory scene of the urban man-land system to build a theoretical framework of urban activity resilience. Relying on geographic big data, this study identifies the spatial characteristics of activity resilience, reveals the impact of activity environment on activity resilience in Nanjing, and proposes countermeasures. The main conclusions are as follows. 1) Activity resilience presents a composite spatial structure of circles and clusters, and most areas are resilient but at a low level. 2) There are significantly positive and negative global autocorrelation between activity resilience and activity scale, and activity stability. Simultaneously, there also exists a local spatial autocorrelation with the opposite positive and negative trends. 3) Activity environment has a significant effect on activity resilience, and the degree and direction of influence among different dimensions and regions are heterogeneous. 4) For activity resilience, it is necessary to increase the matching degree between the scale and stability of activities, and reduce the excessive concentration and flow of activities. For the activity environment, it is necessary to improve the accessibility of the ecological environment, strengthen the high-quality supply of the infrastructure environment, optimize the balance of the location environment, and promote the inclusiveness of the social environment.
引用
收藏
页码:387 / 399
页数:13
相关论文
共 45 条
[1]   From fail-safe to safe-to-fail: Sustainability and resilience in the new urban world [J].
Ahern, Jack .
LANDSCAPE AND URBAN PLANNING, 2011, 100 (04) :341-343
[2]  
Amap, 2018, CHINAS MAJOR URBAN T
[3]  
[Anonymous], 2017, 19 CPC NAT C
[4]  
Batty Michael, 2013, Dialogues Hum Geogr, V3, P274, DOI 10.1177/2043820613513390
[5]   A review of approaches for monitoring and evaluation of urban climate resilience initiatives [J].
Brown, Craig ;
Shaker, Richard R. ;
Das, Runa .
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2018, 20 (01) :23-40
[6]   Geographically weighted regression: A method for exploring spatial nonstationarity [J].
Brunsdon, C ;
Fotheringham, AS ;
Charlton, ME .
GEOGRAPHICAL ANALYSIS, 1996, 28 (04) :281-298
[7]   From metaphor to measurement: Resilience of what to what? [J].
Carpenter, S ;
Walker, B ;
Anderies, JM ;
Abel, N .
ECOSYSTEMS, 2001, 4 (08) :765-781
[8]   Assessment of Urban Ecosystem Resilience through Hybrid Social-Physical Complex Networks [J].
Cavallaro, M. ;
Asprone, D. ;
Latora, V. ;
Manfredi, G. ;
Nicosia, V. .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2014, 29 (08) :608-625
[9]   Framework for analytical quantification of disaster resilience [J].
Cimellaro, Gian Paolo ;
Reinhorn, Andrei M. ;
Bruneau, Michel .
ENGINEERING STRUCTURES, 2010, 32 (11) :3639-3649
[10]  
Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P1, DOI 10.1007/978-3-319-30656-8