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Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study

The emergence of eCommerce and online shopping commenced a new episode in human life and changed trading patterns. Online shopping provided access to a broader range of products and facilitated their delivery, which increased demand. To respond to the increased demand, more heavy commercial vehicles...

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Autores principales: Adibfar, Alireza, Gulhare, Siddhartha, Srinivasan, Siva, Costin, Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414037/
https://www.ncbi.nlm.nih.gov/pubmed/36043031
http://dx.doi.org/10.1016/j.tranpol.2022.07.003
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author Adibfar, Alireza
Gulhare, Siddhartha
Srinivasan, Siva
Costin, Aaron
author_facet Adibfar, Alireza
Gulhare, Siddhartha
Srinivasan, Siva
Costin, Aaron
author_sort Adibfar, Alireza
collection PubMed
description The emergence of eCommerce and online shopping commenced a new episode in human life and changed trading patterns. Online shopping provided access to a broader range of products and facilitated their delivery, which increased demand. To respond to the increased demand, more heavy commercial vehicles need to be on the roads to deliver orders. This is while the road infrastructure is not ready for such a swift shift, and most roads and bridges were planned and constructed during the 19s when online shopping was not coined yet. The continued increase of heavy vehicles on roads can intensify the deterioration of roads and structures such as bridges. Therefore, there is a significant need for an update on new shopping trends, especially changes in people's behavior due to the ongoing Covid-19 pandemic, and to assess if the pandemic permanently changed the trends of in-store and online shopping. This study first examines the NHTS 2017 data to find the attributes that are significant to online shoppers' behavior. Then a survey is developed to scrutinize Covid-19 effects on the online shopping behavior of users before, during, and after the Covid-19 pandemic. 206 records of data are interpreted through descriptive analysis and discrete choice modeling of users' responses to find the most significant attributes affecting their online shopping behavior. The findings of discrete choice modeling and descriptive analysis support that people tend to go back to stores after the pandemic. The findings of this study show that online and in-store shopping would be balanced after the pandemic and would pursue their normal trends as they were before the pandemic. Based on the findings of this study, it is hard to state that online shopping can vanish in-store shopping due to Covid-19. People still need to go to stores to fulfill their needs for the joy of shopping, interactions with other people, and touching the products they would like to buy. Therefore, transportation stakeholders need to pay special attention to both in-store and online shopping for their planning and operation management of ground transportation infrastructure.
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spelling pubmed-94140372022-08-26 Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study Adibfar, Alireza Gulhare, Siddhartha Srinivasan, Siva Costin, Aaron Transp Policy (Oxf) Article The emergence of eCommerce and online shopping commenced a new episode in human life and changed trading patterns. Online shopping provided access to a broader range of products and facilitated their delivery, which increased demand. To respond to the increased demand, more heavy commercial vehicles need to be on the roads to deliver orders. This is while the road infrastructure is not ready for such a swift shift, and most roads and bridges were planned and constructed during the 19s when online shopping was not coined yet. The continued increase of heavy vehicles on roads can intensify the deterioration of roads and structures such as bridges. Therefore, there is a significant need for an update on new shopping trends, especially changes in people's behavior due to the ongoing Covid-19 pandemic, and to assess if the pandemic permanently changed the trends of in-store and online shopping. This study first examines the NHTS 2017 data to find the attributes that are significant to online shoppers' behavior. Then a survey is developed to scrutinize Covid-19 effects on the online shopping behavior of users before, during, and after the Covid-19 pandemic. 206 records of data are interpreted through descriptive analysis and discrete choice modeling of users' responses to find the most significant attributes affecting their online shopping behavior. The findings of discrete choice modeling and descriptive analysis support that people tend to go back to stores after the pandemic. The findings of this study show that online and in-store shopping would be balanced after the pandemic and would pursue their normal trends as they were before the pandemic. Based on the findings of this study, it is hard to state that online shopping can vanish in-store shopping due to Covid-19. People still need to go to stores to fulfill their needs for the joy of shopping, interactions with other people, and touching the products they would like to buy. Therefore, transportation stakeholders need to pay special attention to both in-store and online shopping for their planning and operation management of ground transportation infrastructure. Elsevier Ltd. 2022-09 2022-07-18 /pmc/articles/PMC9414037/ /pubmed/36043031 http://dx.doi.org/10.1016/j.tranpol.2022.07.003 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Adibfar, Alireza
Gulhare, Siddhartha
Srinivasan, Siva
Costin, Aaron
Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study
title Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study
title_full Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study
title_fullStr Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study
title_full_unstemmed Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study
title_short Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study
title_sort analysis and modeling of changes in online shopping behavior due to covid-19 pandemic: a florida case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414037/
https://www.ncbi.nlm.nih.gov/pubmed/36043031
http://dx.doi.org/10.1016/j.tranpol.2022.07.003
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