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教育背景: 1.1998-2002年:毕业于西安建筑科技大学(本科); 2.2002-2005年:毕业于西安建筑科技大学(硕士); 3.2011-2017年:毕业于西安建筑科技大学(博士); 工作经历: 1.2005至2018.10:担任西安建筑科技大学信息与控制工程学院专业教师; 2.2018至今:担任西安建筑科技大学建筑设备科学与工程学院专业教师、副院长; 社会兼职: 陕西省自动化学会智能建筑与楼宇自动化专业委员会副秘书长
冯增喜
Associate Professor
Paper Publications
Emergency logistics centers site selection by multi-criteria decision-making and GIS
Release time:2025-12-20 Hits:
Affiliation of Author(s):
建筑设备科学与工程学院
Journal:
International Journal of Disaster Risk Reduction
Key Words:
Emergency logistics centers (ELCs) Multi-criteria decision-making (MCDM) Geographic information system (GIS) Site selection
Abstract:
Public health events and natural disaster emergencies often cause logistical disruptions and shortages of supplies for residents in the affected areas. The construction of emergency logistics centers (ELCs) can enable relief to reach the affected areas faster, so the ELCs site selection is critical. This study proposes a novel approach based on Multi-Criteria Decision-Making (MCDM) and Geographic Information System (GIS) to solve the ELCs site selection problem. Firstly, nine criteria affecting ELCs site selection are identified, the criteria spatial data are collected and the criteria normalized layers are created using GIS. Then, the weights of the criteria are determined by combining the entropy weight method with the Criteria Importance Though Intercrieria Correlation method (CRITIC), and the ELCs site selection suitability map is obtained using superposition analysis. Finally, the ranking of ELCs alternatives is obtained using the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. A case study is conducted in Xi'an which is the largest city in Northwest China, and the results indicate that (1) the population density criterion (C9) has a weight of 0.581, which accounts for the largest proportion of weight. Alternative A9 (near the New City Plaza) ranks highest among the 13 alternatives. (2) Sensitivity analysis shows that the ranking is very sensitive to changes in the criterion weights, which verifies the rationality of the combined assignment method. (3) The comparative analysis with the TOPSIS method shows that the rankings obtained by the method proposed in this paper are stable, which verifies the feasibility of the siting model
First Author:
fengzengxi
Indexed by:
Journal paper
Volume:
96: 103921
ISSN No.:
2212-4209
Translation or Not:
no
Date of Publication:
2023-10-01

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