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

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 pandem...

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Autores principales:	Mostafa Ghodsi, Ali Ardestani, Arash Rasaizadi, Seyednaser Ghadamgahi, Hao Yang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	online shopping urban traffic urban travel demand COVID-19 pandemic Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2865a8d2ec2543389813ce2569b3537a
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spelling	oai:doaj.org-article:2865a8d2ec2543389813ce2569b3537a2021-11-11T19:39:32ZHow COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic10.3390/su1321119952071-1050https://doaj.org/article/2865a8d2ec2543389813ce2569b3537a2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11995https://doaj.org/toc/2071-1050Changing 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.Mostafa GhodsiAli ArdestaniArash RasaizadiSeyednaser GhadamgahiHao YangMDPI AGarticleonline shoppingurban trafficurban travel demandCOVID-19 pandemicEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11995, p 11995 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	online shopping urban traffic urban travel demand COVID-19 pandemic Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	online shopping urban traffic urban travel demand COVID-19 pandemic Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Mostafa Ghodsi Ali Ardestani Arash Rasaizadi Seyednaser Ghadamgahi Hao Yang How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic
description	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.
format	article
author	Mostafa Ghodsi Ali Ardestani Arash Rasaizadi Seyednaser Ghadamgahi Hao Yang
author_facet	Mostafa Ghodsi Ali Ardestani Arash Rasaizadi Seyednaser Ghadamgahi Hao Yang
author_sort	Mostafa Ghodsi
title	How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic
title_short	How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic
title_full	How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic
title_fullStr	How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic
title_full_unstemmed	How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic
title_sort	how covid-19 pandemic affected urban trips? structural interpretive model of online shopping and passengers trips during the pandemic
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2865a8d2ec2543389813ce2569b3537a
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_version_	1718431455060688896

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

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