Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Exploring the Quantitative Assessment of Spatial Risk in Response to Major Epidemic Disasters in Megacities

A Case Study of Qingdao

Bibliographic Data

ID15470993
AuthorsQimeng Ren (0009-0004-3520-6233, Northeast Forestry University), Ming Sun (0000-0002-0762-687X, Northeast Forestry University, corresponding author)
Year2023
Volume20
Issue4
Pages3274-3274
Publication date2023-02-13
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20043274
PMID36833967
OpenAlexW4320492796
LanguageEN
Citations received1
References cited19

With the global spread of various human-to-human epidemics, public health issues have become a focus of attention. Therefore, it is of great importance to improve the quantitative risk assessment of the construction of resilient cities in terms of epidemic disasters. Starting with the dimensions of social activities and material space, this paper took Qingdao, China, with a population of 5 million, as an example, and took its seven municipal districts as the research scope. In this paper, five risk factors, including the Population density index, Night light index, Closeness index of roads, Betweenness index of roads and Functional mixed nuclear density index were selected for weighted superposition analysis. We conducted a quantitative assessment of the spatial risk of epidemic disaster so as to obtain the classification and spatial structure of the epidemic disaster risk intensity. The results show that: 1 The roads with a large traffic flow are most likely to lead to the risk of urban spatial agglomeration, and the areas with a large population density and large mixture of infrastructure functions are also important factors causing the risk of epidemic agglomeration. 2 The analysis results regarding the population, commerce, public services, transportation, residence, industry, green space and other functional places can reflect the high-risk areas for epidemic diseases with different natures of transmission. 3 The risk intensity of epidemic disasters is divided into five risk grade areas. Among them, the spatial structure of epidemic disasters, composed of the first-level risk areas, is characterized by "one main area, four secondary areas, one belt and multiple points" and has the characteristics of spatial diffusion. 4 Catering, shopping, life services, hospitals, schools and transportation functional places are more likely to cause crowd gathering. The management of these places should be focused on prevention and control. At the same time, medical facilities should be established at fixed points in all high-risk areas to ensure the full coverage of services. In general, the quantitative assessment of the spatial risk of major epidemic disasters improves the disaster risk assessment system in the construction of resilient cities. It also focuses on risk assessment for public health events. It is helpful to accurately locate the agglomeration risk areas and epidemic transmission paths that are prone to outbreak or cause epidemic transmission in cities so as to assist the relevant practitioners in containing the epidemic from the initial stage of transmission in a timely manner and prevent the further spread of the epidemic

Economy · Environmental health · Environmental planning · Geography · Index (typography · Megacity · Population · Residence · Risk assessment · Socioeconomics · Computer Science · Data-Driven Disease Surveillance · Demography · Human Mobility and Location-Based Analysis · Medicine · Urban Transport and Accessibility

  • Absolute Space or Relational Space, Which Governs Spatiotemporally Extended Effects in Disease Dispersion

    Open Access•Shiran Zhong, Ling Bian•Geographical Analysis•2025

  • Covid-19

    Open Access•C Zhou, Fenzhen Su et al.•Geography and Sustainability•2020

  • Measuring daily accessed street greenery

    Open Access•Yu Ye, Daniel R Richards et al.•Landscape and Urban Planning•2019

  • A Method to Identify Urban Fringe Area Based on the Industry Density of POI

    Open Access•Qi Dong, Shuxue Qu et al.•ISPRS International Journal of…•2022

  • Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability

    Open Access•Yunqin Li, Nobuyoshi Yabuki et al.•Landscape and Urban Planning•2023

  • Validating activity, time, and space diversity as essential components of urban vitality

    Open Access•Chaogui Kang, Dongwan Fan et al.•Environment and Planning B Urban…•2021

  • Research on the Vitality Evaluation of Parks and Squares in Medium-Sized Chinese Cities from the Perspective of Urban Functional Areas

    Open Access•Wang Tong-wen, Ya LI et al.•International Journal of…•2022

  • Epidemiological Characteristics and Regional Risk Prediction of Hemorrhagic Fever with Renal Syndrome in Shandong Province, China

    Open Access•Kaili She, Chunyu Li et al.•International Journal of…•2021

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae