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作者

Raziyeh Ramezani;Amirreza Farshchin

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.147,Issue4

语言

英文

关键字

作者单位

Assistant Professor, Islamic Azad Univ. North Tehran Branch (NTB), Dept. of Urban Planning and Design, Tehran 1651153311, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-4524-7862. Email: [email protected];Faculty Member, Academic Centre for Education, Culture and Research (ACECR), Tehran 1561836314, Iran. Email: [email protected]

摘要

Throughout history, natural hazards and disasters have always caused disturbance in the dynamics of urban systems, which represents a lack of adequate resilience in communities against natural disasters. Meanwhile, poverty seems to play a significant role in resilience in communities. Thus simultaneous examination of a community’s resilience against natural disasters and its poverty produces a better means by which to formulate new urban policies to improve a community’s resilience. This study, therefore, aims to explore the relationship between urban resilience and urban poverty. The resilience and poverty in the case study was measured by a disaster resilience of place model using the factor analysis and analytic network process method and Likert scale questions in the frame of a questionnaire, respectively. The study demonstrates that higher resilience in low-income communities can be justified with reliance on intervening factors such as social capital, public participation, social learning, institutions, and good governance, which can be measured through subjective poverty instead of an objective one. In this regard, findings show that the urban resilience of some low-income neighborhoods in Tehran is high. Based on the investigation, it is revealed that these low-income neighborhoods are not subjectively poor. Thus, it can be concluded that the relationship between urban resilience and poverty is significant when the poverty measurement is done subjectively. Supplemental Materials supplemental_materials_up.1943-5444.0000756_ramezani.pdf (174 KB)