Technical Papers
Jul 28, 2021

Factors Affecting Urban Resilience and Sustainability: Case of Slum Dwellers in Islamabad, Pakistan

Publication: Journal of Urban Planning and Development
Volume 147, Issue 4

Abstract

This study aims to determine and analyze the factors that are associated with urban resilience and sustainability for the slum inhabitants of Islamabad, Pakistan. This study will adopt a quantitative design to study the significance of factors that affect urban resilience and sustainability in Islamabad’s slums, Pakistan. The research method in this study will be a survey questionnaire that was filled by 365 respondents using simple random sampling techniques. To conduct structural equation modeling (SEM), this study will use SmartPLS 3.0 through which all the important results will be gathered that include convergent validity, reliability, factor loading, composite reliability, discriminant validity, R square, and path coefficients. The findings show that the factors that significantly influence urban resilience are geographic size (B = 0.395; p-value = 0.000 < 0.01), preparedness and foresight (B = 0.144; p-value = 0.019 < 0.05), and resource and financing (B = 0.213; p-value = 0.000 < 0.01). In addition, the results highlight that geographic size (B = 0.232; p-value = 0.000 < 0.01) and resource and financing (B = 0.096; p-value = 0.097 < 0.1) are significant to urban sustainability for the slum inhabitants in Islamabad, Pakistan. This study is limited to the geographical bounds of Islamabad, Pakistan, and specifically the slums. Therefore, it could be improved in the future by considering other cities in Pakistan, such as Karachi or conducting a comparative analysis between cities. This study considered a limited number of factors; therefore, further research could explore additional factors that affect urban resilience and urban sustainability.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 147Issue 4December 2021

History

Received: Sep 9, 2020
Accepted: May 7, 2021
Published online: Jul 28, 2021
Published in print: Dec 1, 2021
Discussion open until: Dec 28, 2021

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Muhammad Khan [email protected]
College of Public Administration, Nanjing Agricultural Univ., 210095 Nanjing, China. Email: [email protected]
College of Public Administration, Nanjing Agricultural Univ., 210095 Nanjing, China. Email: [email protected]
College of Public Administration, Nanjing Agricultural Univ., 210095 Nanjing, China (corresponding author). Email: [email protected]
Jianchao Peng [email protected]
College of Public Administration, Nanjing Agricultural Univ., 210095 Nanjing, China. Email: [email protected]

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