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Author:

Zhang, Boqian (Zhang, Boqian.) | Ma, Donghui (Ma, Donghui.) | Wang, Wei (Wang, Wei.)

Indexed by:

EI Scopus SCIE

Abstract:

The population distribution within areas potentially impacted by major accidents is crucial for societal risk analysis. Population data are essential for land use planning activities related to major accident hazards. However, repeated quantitative risk assessments (QRA) and diverse planning scenarios complicate planning decisions in Major Hazard Installation (MHI) areas. This study introduces an analysis method for the safety of population distribution in potential impact zones of major accidents. By combining accident simulation and population distribution characteristics analysis, we established standardized indicators that succinctly indicate safety thresholds for societal risks, addressing the challenge of rapidly assessing off-site population safety. A rapid formula meeting practical needs is provided for urban managers and planners, enabling them to easily evaluate how population density and distribution affect societal risks in MHI areas. Finally, we applied this method to the flammable and explosive hazardous material enterprises in Shijiazhuang, China, demonstrating its functionality and practicality. The application results suggest its potential as a useful decision-support method for guiding urban planning and emergency management. This work offers new insights and valuable demonstrations for enhancing vulnerability and land use risk assessments in MHI regions.

Keyword:

Land use planning Population distribution characteristics Major hazard installation Societal risk criteria Accident scenarios Explosion overpressure

Author Community:

  • [ 1 ] [Zhang, Boqian]Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing 100124, Peoples R China
  • [ 2 ] [Ma, Donghui]Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Wei]Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Ma, Donghui]Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing 100124, Peoples R China;;[Wang, Wei]Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing 100124, Peoples R China;;

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Source :

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

ISSN: 0950-4230

Year: 2024

Volume: 92

3 . 5 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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