Identify key drivers for achieving regional sustainable security based on passive defense criteria (Case study: Lavasanat District)

Subject Areas :

Zahra Sartipi ¹ , Modiri Mahdi ² , Zahra Pishgahifard ³

1 - Ph.D. Student of Geography & Rural Planning, Faculty of Literature, Humanities and Social Sciences, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Professor, Department of Geography and Urban Planning, Passive Defense Complex, Malek Ashtar University, Tehran, Iran
3 - Professor, Departement of Political Geography, Faculty of Tehran University, Tehran, Iran

Received: 2021-06-30 Accepted : 2021-09-15 Published : 2022-04-21

Keywords: Passive Defense, Regional Development, sustainable security, Lavasanat District,

Abstract :

Regional development is a prominent goal in environmental and spatial planning in recent decades, which includes various programs aimed at facilitating the promotion of economic and social components, reducing environmental damage and increasing the safety and security of the region in the face of various disasters and crises. Therefore, security components are the main pillars of achieving regional development and the purpose of this study is to identify the key drivers affecting the realization of sustainable security in Lavasanat region based on passive defense criteria. The research method in the present study is applied in terms of purpose and descriptive-analytical in nature. Also, the statistical population of the research includes officials, managers and experts in the field of passive defense in Lavasanat region which the sample size is determined based on the Delphi method of 100 people. In order to analyze the research information, the partial least squares method has been used in Smart-pls software. Findings indicate that the most important drivers for achieving sustainable security in Lavasanat region based on passive defense are related to prevention-based management, readiness-based management and proper physical-environmental planning for which the structural model score is 0.823, 0.753 and 0.677, respectively. Also, among the sub-drivers, the most effective is related to the inter-organizational communication drivers in order to maximize the participation of related organizations in the phase of preventing the effects and results of crises, forming decision-making and guiding support systems and databases based on statistics and geo-geographical information to identify and prioritize accident hotspots.

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