Temporal and Spatial Variation Analysis of Urban Socioeconomic Activity in Public Health Emergencies

SHEN Yongjie; YANG Chuncheng; SHANG Haibin; XU Li; WANG Zefan

doi:10.13203/j.whugis20220016

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Temporal and Spatial Variation Analysis of Urban Socioeconomic Activity in Public Health Emergencies

Cartography and GIS | 更新时间：2026-11-05

- Temporal and Spatial Variation Analysis of Urban Socioeconomic Activity in Public Health Emergencies
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 3, Pages: 603-614(2025)
- 作者机构：
  
  1.中国地质大学（武汉）国家地理信息系统工程技术研究中心，湖北武汉，430078
  2.中国地质大学（武汉）地质探测与评估教育部重点实验室，湖北武汉，430074
  3.中国地质大学（武汉）计算机学院，湖北武汉，430078
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(42171438)
- DOI：10.13203/j.whugis20220016
  CLC： P237
- Received：06 October 2023，
  
  Published：05 March 2025
- 稿件说明：
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沈勇杰,杨春成,尚海滨，等.突发公共卫生事件下的城市社会经济活动时空变化分析[J].武汉大学学报（信息科学版）,2025,50(3):603-614.

SHEN Yongjie,YANG Chuncheng,SHANG Haibin,et al.Temporal and Spatial Variation Analysis of Urban Socioeconomic Activity in Public Health Emergencies[J].Geomatics and Information Science of Wuhan University,2025,50(3):603-614.
沈勇杰,杨春成,尚海滨，等.突发公共卫生事件下的城市社会经济活动时空变化分析[J].武汉大学学报（信息科学版）,2025,50(3):603-614. DOI：10.13203/j.whugis20220016

SHEN Yongjie,YANG Chuncheng,SHANG Haibin,et al.Temporal and Spatial Variation Analysis of Urban Socioeconomic Activity in Public Health Emergencies[J].Geomatics and Information Science of Wuhan University,2025,50(3):603-614. DOI：10.13203/j.whugis20220016

摘要

以美国洛杉矶、达拉斯和纽约3个主要城市群为研究区域，基于夜光数据构建平均夜光强度差异值和夜光稳定度两个指标，反映突发公共事件持续期间不同激增期内城市夜光水平的时空变化特征。采用客观赋权法融合移动大数据构建出行意愿指数和场景流动指数，表征区域流动性在不同激增期内的时空差异特征。研究结果表明，城市夜光水平在第一次激增期内降幅较大，城市经济活动受影响更显著，在第二次激增期中，大部分城市经济活动已经恢复至良好水平；城市社会活动变化在第一次激增期内主要表现为场景流动指数的降低，在第二次激增期中，不论是场景流动指数还是出行意愿指数都出现了不同程度的降低。根据激增时间点结合不同地区的社交疏远政策，可以对流动性的变化趋势做出良好的解释。通过夜光数据与移动大数据来表示城市经济社会活动变化，可以了解突发公共卫生事件的反弹对城市社会经济活动的影响，以期为未来可能出现的新型突发公共卫生事件制定对应的社会经济政策提供科学参考。

Abstract

Objectives

This paper aims to explore the characteristics of changes in urban socioeconomic activities during a public health emergency. Three major urban agglomerations

including Los Angeles

Dallas and New York

are selected as the study areas.

Methods

First

the difference value of average nighttime light intensity and nighttime light stability are constructed based on nighttime light data to reflect the spatiotemporal variation characteristics of urban nighttime light levels during different surge periods of the duration of public emergencies. Then

based on the objective weighting method and mobility big data

the travel willingness index and scene mobility index are constructed to characterize the spatial and temporal differences of regional mobility in different surge periods.

Results

The results show that

in the first surge period

the level of urban nighttime light decreases greatly and urban economic activities are affected significantly

while in the second surge period

economic activities in most cities recover to a good level. The change of urban social activities in the first surge period is mainly reflected as the decrease of scene mobility index

while in the second surge period

both scene mobility index and travel willingness index decrease to different degrees. Combined with social distancing policies in different regions

the trend of mobility can be well explained according to the surge.

Conclusions

By using nighttime light data and mobility big data to represent the changes of urban social and economic activities

we can understand the impacts of the rebound of public health emergency on urban social and economic activities

in order to provide scientific reference for the development of social and economic policies corresponding to the possible public health emergencies in the future.

关键词

Keywords

references

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