CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12700 > Article
Paper
26 May 2023 Analysis of the spatial-temporal characteristics of residents' commuting trips under the impact of COVID-19: a case study in Shenzhen
Jiasong Zhu, Pengyu Hong, Chunmei Zhao, Xiang Lin, Bowen Zhao
Author Affiliations +
Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127001N (2023) https://doi.org/10.1117/12.2682316
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China
Abstract
During the outbreak of COVID-19, many cities adopted strict travel measures to quickly cut off the transmission chain. However, these measures hindered the development of the urban economy as time passed. In the face of the possible recurrence of the epidemic, how to develop reasonable operational measures to ensure commute trips and guarantee the normal operation of the urban economy has become an important issue facing the current transportation system. Therefore, this paper is based on the smart card data to explore the spatial-temporal characteristic changes of residents' commuting under the influence of the epidemic. Firstly, the temporal characteristics of each epidemic period are described from three dimensions. Then, travel hotspots are identified and the spatial distribution changes of them in each epidemic period are explored. Next, the correlation coefficient between hotspot metro stations and surrounding land use is calculated. Finally, the rules are summarized, and operational suggestions are proposed. This article analyzes the commuting characteristics of residents based on smart card data, which can provide data support for optimizing metro operation measures.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Jiasong Zhu, Pengyu Hong, Chunmei Zhao, Xiang Lin, and Bowen Zhao "Analysis of the spatial-temporal characteristics of residents' commuting trips under the impact of COVID-19: a case study in Shenzhen", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127001N (26 May 2023); https://doi.org/10.1117/12.2682316
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 11 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Transportation
COVID 19
Analytical research
Correlation coefficients
Data processing
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top