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Dynamic Optimization of Emergency Infrastructure Layouts Based on Population Influx

A Macao Case Study

Bibliographic Data

ID22034288
AuthorsZhen Wang (0000-0001-6729-2640, Huazhong University of Science and Technology), Zheyu Wang (Huazhong University of Science and Technology), On Kei Yeung (Chinese University of Hong Kong), Mengmeng Zheng (Huazhong University of Science and Technology), Yitao Zhong (Southeast University), Sanqing He (Huazhong University of Science and Technology), Shaoru He (0000-0002-0229-4060, Huazhong University of Science and Technology, corresponding author)
Year2025
Volume14
Issue9
Pages322
Publication date2025-08-23
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14090322
OpenAlexW4413480808
LanguageEN
Citations received2
References cited43

This study investigates the spatiotemporal optimization of small-scale emergency infrastructure in high-density urban environments, using nucleic acid testing sites in Macao as a case study. The objective is to enhance emergency responsiveness during future public health crises by aligning infrastructure deployment with dynamic patterns of population influx. A behaviorally informed spatial decision-making framework is developed through the integration of kernel density estimation, point-of-interest (POI) distribution, and origin–destination (OD) path simulation based on an Ant Colony Optimization (ACO) algorithm. The results reveal pronounced temporal fluctuations in testing demand—most notably with crowd peaks occurring around 12:00 and 18:00—and highlight spatial mismatches between existing facility locations and key residential or functional clusters. The proposed approach illustrates the feasibility of coupling infrastructure layout with real-time mobility behavior and offers transferable insights for emergency planning in compact urban settings

Population · Computer Science · Evacuation and Crowd Dynamics · Medicine · Transportation Planning and Optimization · Urban Transport and Accessibility

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Citations per year2
Citation span2026 - 2026 (1)
Highly citedNo

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