The County–Township–Village Station Location-Routing Problem for the Integration of Passenger and Freight Transport by Urban–Rural Buses
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| Publicado en: | Systems vol. 13, no. 7 (2025), p. 602-624 |
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| Otros Autores: | , , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2079-8954 | ||
| 024 | 7 | |a 10.3390/systems13070602 |2 doi | |
| 035 | |a 3233253727 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231636 |2 nlm | ||
| 100 | 1 | |a Shang Xiaoting | |
| 245 | 1 | |a The County–Township–Village Station Location-Routing Problem for the Integration of Passenger and Freight Transport by Urban–Rural Buses | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The integration of passenger and freight transport by urban–rural buses is an effective approach to address two critical issues: the inefficiency of parcel delivery services and the financial struggles of public transport operators. This paper studies the county–township–village station location-routing problem for the integration of passenger and freight transport by urban–rural buses, aiming to develop an efficient transport network by establishing rational stations and designing optimal operation routes. A three-level county–township–village station network is proposed for the integration of passenger and freight transport, and a mixed-integer linear programming model is developed, including the constraints of location, allocation, capacity, and routing. A comprehensive series of numerical experiments is conducted on a randomly generated dataset to evaluate the feasibility and advantages of the proposed model. Lastly, key managerial insights are discussed. | |
| 651 | 4 | |a China | |
| 653 | |a Site selection | ||
| 653 | |a Scheduling | ||
| 653 | |a Freight transportation | ||
| 653 | |a Linear programming | ||
| 653 | |a Integer programming | ||
| 653 | |a Public transportation | ||
| 653 | |a Costs | ||
| 653 | |a Buses | ||
| 653 | |a Electric vehicles | ||
| 653 | |a Optimization | ||
| 653 | |a Delivery services | ||
| 653 | |a Passengers | ||
| 653 | |a Transportation networks | ||
| 653 | |a Supply chains | ||
| 653 | |a Rural areas | ||
| 653 | |a Urban areas | ||
| 653 | |a Mixed integer | ||
| 653 | |a Logistics | ||
| 653 | |a Villages | ||
| 653 | |a Efficiency | ||
| 700 | 1 | |a Sun, Jiaqi | |
| 700 | 1 | |a Cheng, Xin | |
| 700 | 1 | |a Sun, Hao | |
| 773 | 0 | |t Systems |g vol. 13, no. 7 (2025), p. 602-624 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233253727/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233253727/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233253727/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |