Identifying the Effective Factors and Modeling the Online Shopping Sustainability in the Post-COVID-19 Era

Document Type : Research Paper

Authors
Alireza Mahpour 1
Mahyar Mollajani 2
Amirhossein Baghestani 3
1 Assistant Professor, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Iran.
2 M.Sc, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Iran
3 Assistant Professor, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Iran
10.22119/jte.2024.440281.2697
Abstract
With the advancement and application of new technologies, online shopping has shown the capacity to reduce the number of shopping trips. In addition to the growing popularity of online activities among people, the emergence of the COVID-19 pandemic, due to issues such as fear of illness and imposed quarantine, provided a suitable platform for the increasing popularity of online businesses. Given the public's embrace of online shopping during the pandemic, this study aims to examine the stability or reduction in the rate of people's online shopping in the post-pandemic era and to investigate the influential factors in this respect. In this research, an online questionnaire was designed and distributed among citizens of Tehran through a number of online messaging groups, and 444 correct samples were collected. A binary logit model was used to analyze the data and identify the factors affecting the stability or changes in the online shopping rate in the post-COVID-19 era. Data analysis indicates that 72% of people continue to shop online more frequently than they did before the pandemic. Factors such as age, gender, having a driver's license, previous experience of online shopping, traffic congestion, access to public transportation, cost savings, convenience, and a positive attitude towards a shopping method are found to be influential. The results of this study can be helpful in future transportation planning as well as better management of upcoming crises.

Keywords

Subjects

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Quarterly Journal of Transportation Engineering
Volume 15, Issue 4 - Serial Number 61
Spring 2024
Pages 4113-4126

  • Receive Date 01 February 2024
  • Revise Date 13 July 2024
  • Accept Date 13 August 2024