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探究通向城市凝聚力的可塑社会经济韧性路径:以台北都会区为例。

Investigating the malleable socioeconomic resilience pathway to urban cohesion: a case of Taipei metropolitan area.

作者信息

Ling Tzen-Ying

机构信息

Department of Architecture, Tamkang University, No. 151, Yingzhuan Rd, Tamsui District, New Taipei City, 251 Taiwan.

出版信息

Environ Dev Sustain. 2021;23(9):13016-13041. doi: 10.1007/s10668-020-01197-9. Epub 2021 Jan 10.

DOI:10.1007/s10668-020-01197-9
PMID:33456319
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7797182/
Abstract

It is known that globalization has led first- and second-tier cities' urban restructuring trajectories, excreted pressures, and caused tremendous socioeconomic volatility. This resulted in marginalized communities in dire of social empowerment, employment structure variance, and industry sectoral adjustment. Moreover, recent successive climate and health crisis unfolded and affirmed the state of our urban incompetence to sustain socioeconomic resilience or otherwise; lacking swift responses in providing critical management and services, cites are facing multifaceted challenges. Urban well-being and resilience are at stake. Although the environmental and health dimensional effects are apparent, this study ascertains that the transept multi-scalar analysis within the urban socioeconomic structure is crucial in sustaining core resilience to foster health and well-being of the community. As an integral part of the investigation, the revised DPSIR assessment framework is applied to evaluate the sectoral shift; spatial structure disarray and urban codependence degree are examined within the Taipei metropolitan area (TMA), a medium size but densely populated metropolitan area in Taiwan. The place-based DPSIR analysis ascertained the states and impacts in TMA: (1) A population decline speeded the restructuring of the urban core, while the impact of demographic aging and shrinkage rate mandates proper management and planning responses to the decline process; (2) the socioeconomic state effect is determined but does not critically affect the periphery zone, while an uneven demographic shift within the urban core necessitates dynamic adjustment responses to appropriately provide intergenerational services; (3) the uneven sector redistribution stimulated the core's spatial and structural inter-dependency with peripheral zones, requiring governance with tighter cross-administration cooperation among respective public sectors; and (4) facing the sector/temporal and demographic pressure, urban cohesiveness in the TMA is greatly affected, which in turn disrupts the resilience pathway toward a cohesion. The study ascertained that the revised DPSIR framework could provide cities facing pressing socioeconomic drivers with effective analysis to allocate pressures, states, and impacts and formulate the necessary responses. To assure the socioeconomic resilience and urban cohesiveness, planning policy should carefully monitor and evaluate socio-demographic and sector redistribution factors to promote the urban resilience.

摘要

众所周知,全球化引领了一线城市和二线城市的城市重构轨迹,释放了压力,并引发了巨大的社会经济波动。这导致边缘社区急需社会赋权、就业结构变化和产业部门调整。此外,近期接连出现的气候和健康危机表明并证实了我们城市在维持社会经济韧性方面的无能;城市在提供关键管理和服务方面缺乏迅速响应,正面临多方面挑战。城市的福祉和韧性危在旦夕。尽管环境和健康层面的影响显而易见,但本研究确定,城市社会经济结构内的跨部门多尺度分析对于维持核心韧性以促进社区健康和福祉至关重要。作为调查的一个组成部分,修订后的DPSIR评估框架被应用于评估部门转移;在台北都会区(TMA)——台湾一个中等规模但人口密集的都会区——内,研究了空间结构紊乱和城市相互依存度。基于地点的DPSIR分析确定了台北都会区的状况和影响:(1)人口下降加速了城市核心区的重构,而人口老龄化和收缩率的影响要求对下降过程进行适当的管理和规划应对;(2)社会经济状况效应已确定,但对周边地区没有重大影响,而城市核心区内人口分布不均需要动态调整应对措施,以适当地提供代际服务;(3)部门分布不均刺激了核心区与周边地区在空间和结构上的相互依存,需要各公共部门之间加强跨部门合作进行治理;(4)面对部门/时间和人口压力,台北都会区的城市凝聚力受到极大影响,进而扰乱了实现凝聚力的韧性路径。研究确定,修订后的DPSIR框架可以为面临紧迫社会经济驱动因素的城市提供有效的分析,以分配压力、状况和影响,并制定必要的应对措施。为确保社会经济韧性和城市凝聚力,规划政策应仔细监测和评估社会人口和部门再分配因素,以促进城市韧性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/a16833c4aceb/10668_2020_1197_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/db7c6b25a789/10668_2020_1197_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/5e275c204fca/10668_2020_1197_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/7dc9d603ef7f/10668_2020_1197_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/b0c684e2237a/10668_2020_1197_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/ac6fb3f3847a/10668_2020_1197_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/f310c43d9fbc/10668_2020_1197_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/5f86820ff6fd/10668_2020_1197_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/9129c38e4cb4/10668_2020_1197_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/1364eef0487a/10668_2020_1197_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/b2160b3689c6/10668_2020_1197_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/2599dbc35ee1/10668_2020_1197_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/038a81397b3b/10668_2020_1197_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ee/7797182/a16833c4aceb/10668_2020_1197_Fig13_HTML.jpg

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