Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand

The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has large...

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Main Authors: Cheng, Cheng, Sakai, Takanori, Alho, André, Cheah, Lynette, Ben-Akiva, Moshe
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2021
Online Access:https://hdl.handle.net/1721.1/133182
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author Cheng, Cheng
Sakai, Takanori
Alho, André
Cheah, Lynette
Ben-Akiva, Moshe
author_facet Cheng, Cheng
Sakai, Takanori
Alho, André
Cheah, Lynette
Ben-Akiva, Moshe
author_sort Cheng, Cheng
collection MIT
description The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has largely focused on the impacts of the adoption of online shopping using individual/household survey data, we made use of data from an e-commerce carrier. A linear regression model was estimated considering factors such as degree of urbanization, transit and shopping accessibility, and household attributes. The results both confirm and contradict prior research findings, highlighting the potential for a non-negligible influence of the local context on demand for parcel deliveries.
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spelling mit-1721.1/1331822021-11-01T14:36:55Z Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand Cheng, Cheng Sakai, Takanori Alho, André Cheah, Lynette Ben-Akiva, Moshe The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has largely focused on the impacts of the adoption of online shopping using individual/household survey data, we made use of data from an e-commerce carrier. A linear regression model was estimated considering factors such as degree of urbanization, transit and shopping accessibility, and household attributes. The results both confirm and contradict prior research findings, highlighting the potential for a non-negligible influence of the local context on demand for parcel deliveries. 2021-10-27T17:39:37Z 2021-10-27T17:39:37Z 2021-05-17 2021-05-24T15:03:37Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133182 Logistics 5 (2): 29 (2021) PUBLISHER_CC http://dx.doi.org/10.3390/logistics5020029 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute
spellingShingle Cheng, Cheng
Sakai, Takanori
Alho, André
Cheah, Lynette
Ben-Akiva, Moshe
Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
title Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
title_full Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
title_fullStr Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
title_full_unstemmed Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
title_short Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
title_sort exploring the relationship between locational and household characteristics and e commerce home delivery demand
url https://hdl.handle.net/1721.1/133182
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