How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic

Mostafa Ghodsi, Ali Ardestani, Arash Rasaizadi, Seyednaser Ghadamgahi and Hao Yang
Additional contact information
Mostafa Ghodsi: Department of Transportation Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran 14896-84511, Iran
Ali Ardestani: Civil Engineering Department, McMaster University, Hamilton, ON L8S 4L8, Canada
Arash Rasaizadi: Department of Transportation Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran 14896-84511, Iran
Seyednaser Ghadamgahi: Department of Tourism Management, Allame Tabataba’i University, Tehran 14896-84511, Iran
Hao Yang: Civil Engineering Department, McMaster University, Hamilton, ON L8S 4L8, Canada

Sustainability, 2021, vol. 13, issue 21, 1-15

Abstract: Changing people’s shopping behavior from face-to-face to online shopping during the COVID-19 pandemic led to reduced shopping trips, and this decrease directly affects traffic congestion and air pollution. Identifying the factors influencing the increase of online shopping behavior during the pandemic can be helpful for policymakers in the post-COVID-19 era. This study aims to discover the effect of factors related to the COVID-19 pandemic and demographic characteristics on shopping attitude and, consequently, on shopping trips. Based on the interviews of ten experts, factors associated with COVID-19 and demographic characteristics are selected as influential factors on shopping attitude and shopping trips. For pairwise comparisons between these factors, a web-based questionnaire was designed and given to thirty experts. The relationship between all factors is examined using interpretive structural modeling (ISM) and Microscopic–Macroscopic (MICMAC) analysis. In addition, to prioritize factors, the IAHP model is employed. Based on the results, five levels of influential factors affect shopping attitude, which affects shopping trips: level 1, age and gender; level 2, income and education; level 3, the household size and the COVID-19 awareness; level 4, COVID-19 attitude and COVID-19 practice; and level 5, norm subject and shopping personal control.

Keywords: online shopping; urban traffic; urban travel demand; COVID-19 pandemic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/21/11995/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/21/11995/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:21:p:11995-:d:668146

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().