The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS
Advances in information and communication technologies (ICT) have dramatically changed the nature of shopping and the way people travel. As this technology becomes deeply rooted in people’s lives, understanding the interplay between this way and personal travel is becoming increasingly important for...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8247158 |
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| _version_ | 1832548878423949312 |
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| author | Chenlei Xue Qunqi Wu Maopeng Sun Pengxia Bai Yang Chen |
| author_facet | Chenlei Xue Qunqi Wu Maopeng Sun Pengxia Bai Yang Chen |
| author_sort | Chenlei Xue |
| collection | DOAJ |
| description | Advances in information and communication technologies (ICT) have dramatically changed the nature of shopping and the way people travel. As this technology becomes deeply rooted in people’s lives, understanding the interplay between this way and personal travel is becoming increasingly important for planners. Using travel diary data from the 2017 National Household Travel Survey (NHTS) data for structural equation modeling (SEM) analysis, it revealed the interaction between e-shopping and shopping trips and the factors that affect this bidirectional relationship. Results show that e-shopping motivates shopping trips, and in-store shopping inhibits online shopping. It can be obtained that the increase of one standard deviation of e-shopping will increase the shopping trip by 0.17 standard deviation. When shopping trips increase by one standard deviation, e-shopping behavior also decreases by 0.12 standard deviation. The results also demonstrated that e-shopping and shopping travel behavior is heterogeneous across a variety of exogenous factors such as personal attributes, household characteristics, geography, travel distance/duration, and travel mode. Identifying the interaction may help formulate better transportation policies and lay the foundation for travel demand management strategies to reduce the stress on the transportation system and meet individual travel needs. |
| format | Article |
| id | doaj-art-3b38a4ba8bac4d8ba5309f2cd4c274a6 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-3b38a4ba8bac4d8ba5309f2cd4c274a62025-02-03T06:12:50ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/82471588247158The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTSChenlei Xue0Qunqi Wu1Maopeng Sun2Pengxia Bai3Yang Chen4College of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaIntegrated Transportation Economics and Management Research Center, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaAdvances in information and communication technologies (ICT) have dramatically changed the nature of shopping and the way people travel. As this technology becomes deeply rooted in people’s lives, understanding the interplay between this way and personal travel is becoming increasingly important for planners. Using travel diary data from the 2017 National Household Travel Survey (NHTS) data for structural equation modeling (SEM) analysis, it revealed the interaction between e-shopping and shopping trips and the factors that affect this bidirectional relationship. Results show that e-shopping motivates shopping trips, and in-store shopping inhibits online shopping. It can be obtained that the increase of one standard deviation of e-shopping will increase the shopping trip by 0.17 standard deviation. When shopping trips increase by one standard deviation, e-shopping behavior also decreases by 0.12 standard deviation. The results also demonstrated that e-shopping and shopping travel behavior is heterogeneous across a variety of exogenous factors such as personal attributes, household characteristics, geography, travel distance/duration, and travel mode. Identifying the interaction may help formulate better transportation policies and lay the foundation for travel demand management strategies to reduce the stress on the transportation system and meet individual travel needs.http://dx.doi.org/10.1155/2021/8247158 |
| spellingShingle | Chenlei Xue Qunqi Wu Maopeng Sun Pengxia Bai Yang Chen The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS Complexity |
| title | The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS |
| title_full | The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS |
| title_fullStr | The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS |
| title_full_unstemmed | The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS |
| title_short | The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS |
| title_sort | interaction between e shopping and shopping trips an analysis with 2017 nhts |
| url | http://dx.doi.org/10.1155/2021/8247158 |
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