Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming
With the rapid development of e-commerce and the dramatic upsurge in direct-to-consumer deliveries, the last-mile problem has become increasingly apparent. With the distinct advantages of bringing economies of scale and providing 24/7 contactless self-service, smart parcel lockers play a critical ro...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/1998188 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832546727989608448 |
|---|---|
| author | Xia Yang Chenyang Wang Xiaozheng He Hedi Zhang Guangming Xu |
| author_facet | Xia Yang Chenyang Wang Xiaozheng He Hedi Zhang Guangming Xu |
| author_sort | Xia Yang |
| collection | DOAJ |
| description | With the rapid development of e-commerce and the dramatic upsurge in direct-to-consumer deliveries, the last-mile problem has become increasingly apparent. With the distinct advantages of bringing economies of scale and providing 24/7 contactless self-service, smart parcel lockers play a critical role in solving the last-mile problem. However, due to a lack of planning, myopia expansion, and an ambiguous profit model, smart parcel locker suppliers in China have been suffering huge economic losses, restricting their further development. In the study, on the basis of an in-depth analysis of the cost elements and major revenue sources of smart parcel lockers, we propose a bilevel programming model to optimize the location of community smart parcel lockers with the upper-level model maximizing the profit of a third-party smart parcel locker supplier and the lower-level model maximizing user satisfaction. Then, a solution algorithm based on the genetic algorithm is proposed. Finally, some numerical experiments are carried out based on a medium-scale residential community in Jiading District, Shanghai. The sensitivity analyses conducted in this study reveal how the user satisfaction evaluation and the investment budget influence the expected profit. The modelling framework and numerical results can provide third-party smart parcel locker suppliers with significant theoretical support and practical guidance on planning the investment budget and optimizing the smart parcel locker locations to maximize their profit. |
| format | Article |
| id | doaj-art-4fbe34df7f734da59ec31f07624350b6 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-4fbe34df7f734da59ec31f07624350b62025-02-03T06:47:21ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/1998188Location Optimization for Community Smart Parcel Lockers Based on Bilevel ProgrammingXia Yang0Chenyang Wang1Xiaozheng He2Hedi Zhang3Guangming Xu4Key Laboratory of Road and Traffic Engineering of the Ministry of EducationKey Laboratory of Road and Traffic Engineering of the Ministry of EducationDepartment of Civil & Environmental EngineeringKey Laboratory of Road and Traffic Engineering of the Ministry of EducationSchool of Traffic and Transportation EngineeringWith the rapid development of e-commerce and the dramatic upsurge in direct-to-consumer deliveries, the last-mile problem has become increasingly apparent. With the distinct advantages of bringing economies of scale and providing 24/7 contactless self-service, smart parcel lockers play a critical role in solving the last-mile problem. However, due to a lack of planning, myopia expansion, and an ambiguous profit model, smart parcel locker suppliers in China have been suffering huge economic losses, restricting their further development. In the study, on the basis of an in-depth analysis of the cost elements and major revenue sources of smart parcel lockers, we propose a bilevel programming model to optimize the location of community smart parcel lockers with the upper-level model maximizing the profit of a third-party smart parcel locker supplier and the lower-level model maximizing user satisfaction. Then, a solution algorithm based on the genetic algorithm is proposed. Finally, some numerical experiments are carried out based on a medium-scale residential community in Jiading District, Shanghai. The sensitivity analyses conducted in this study reveal how the user satisfaction evaluation and the investment budget influence the expected profit. The modelling framework and numerical results can provide third-party smart parcel locker suppliers with significant theoretical support and practical guidance on planning the investment budget and optimizing the smart parcel locker locations to maximize their profit.http://dx.doi.org/10.1155/2023/1998188 |
| spellingShingle | Xia Yang Chenyang Wang Xiaozheng He Hedi Zhang Guangming Xu Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming Journal of Advanced Transportation |
| title | Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming |
| title_full | Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming |
| title_fullStr | Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming |
| title_full_unstemmed | Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming |
| title_short | Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming |
| title_sort | location optimization for community smart parcel lockers based on bilevel programming |
| url | http://dx.doi.org/10.1155/2023/1998188 |
| work_keys_str_mv | AT xiayang locationoptimizationforcommunitysmartparcellockersbasedonbilevelprogramming AT chenyangwang locationoptimizationforcommunitysmartparcellockersbasedonbilevelprogramming AT xiaozhenghe locationoptimizationforcommunitysmartparcellockersbasedonbilevelprogramming AT hedizhang locationoptimizationforcommunitysmartparcellockersbasedonbilevelprogramming AT guangmingxu locationoptimizationforcommunitysmartparcellockersbasedonbilevelprogramming |