A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities
From the perspective of urbanization, commuters' long-distance and diversified trips are suitable for the connection between city and suburbs. The existing park-and-ride (P&R) facilities can influence user travel decisions, promoting the usage of public transportation and reducing the e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9081976/ |
| _version_ | 1818624330246914048 |
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| author | Bowen Hou Shuzhi Zhao Huasheng Liu |
| author_facet | Bowen Hou Shuzhi Zhao Huasheng Liu |
| author_sort | Bowen Hou |
| collection | DOAJ |
| description | From the perspective of urbanization, commuters' long-distance and diversified trips are suitable for the connection between city and suburbs. The existing park-and-ride (P&R) facilities can influence user travel decisions, promoting the usage of public transportation and reducing the environmental pollution, but the P&R lots are usually located near train stations that the construction of lots at these locations is costly and complex. It is important to analyze the need for P&R and its capacity before its construction. Therefore, this paper proposes a bi-level model for determination of optimal location and capacity of a remote P&R (RPR) facility that allows a user to park a vehicle in a suburban area at lower cost and then take a bus to the nearby train station. A combined modal split and traffic assignment model with capacity constraints is developed as a lower-level model, and a nested-logit model is adopted to manage the mode similarity. The upper-level optimization is conducted based on the generalized cost of the transportation system according to the budget and environmental limits. The performance of the proposed model is experimentally verified that the optimal RPR scheme shifts commuters from the automobile mode to the transit and RPR modes, thus improving the social benefit dramatically. The model and analysis provide insights that may help operators determine how RPR facilities can be established to meet social cost improvement goals. |
| first_indexed | 2024-12-16T18:55:14Z |
| format | Article |
| id | doaj.art-90d415e0fe7241abb2d60ee61784db5a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T18:55:14Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-90d415e0fe7241abb2d60ee61784db5a2022-12-21T22:20:34ZengIEEEIEEE Access2169-35362020-01-018805028051710.1109/ACCESS.2020.29911659081976A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride FacilitiesBowen Hou0https://orcid.org/0000-0002-2262-1006Shuzhi Zhao1https://orcid.org/0000-0003-3307-7808Huasheng Liu2https://orcid.org/0000-0002-2635-999XCollege of Transportation, Jilin University, Changchun, ChinaCollege of Transportation, Jilin University, Changchun, ChinaCollege of Transportation, Jilin University, Changchun, ChinaFrom the perspective of urbanization, commuters' long-distance and diversified trips are suitable for the connection between city and suburbs. The existing park-and-ride (P&R) facilities can influence user travel decisions, promoting the usage of public transportation and reducing the environmental pollution, but the P&R lots are usually located near train stations that the construction of lots at these locations is costly and complex. It is important to analyze the need for P&R and its capacity before its construction. Therefore, this paper proposes a bi-level model for determination of optimal location and capacity of a remote P&R (RPR) facility that allows a user to park a vehicle in a suburban area at lower cost and then take a bus to the nearby train station. A combined modal split and traffic assignment model with capacity constraints is developed as a lower-level model, and a nested-logit model is adopted to manage the mode similarity. The upper-level optimization is conducted based on the generalized cost of the transportation system according to the budget and environmental limits. The performance of the proposed model is experimentally verified that the optimal RPR scheme shifts commuters from the automobile mode to the transit and RPR modes, thus improving the social benefit dramatically. The model and analysis provide insights that may help operators determine how RPR facilities can be established to meet social cost improvement goals.https://ieeexplore.ieee.org/document/9081976/Bi-level programming modelcombined modal split and traffic assignmentmultimodal transportation networkremote park-and-ride |
| spellingShingle | Bowen Hou Shuzhi Zhao Huasheng Liu A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities IEEE Access Bi-level programming model combined modal split and traffic assignment multimodal transportation network remote park-and-ride |
| title | A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities |
| title_full | A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities |
| title_fullStr | A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities |
| title_full_unstemmed | A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities |
| title_short | A Combined Modal Split and Traffic Assignment Model With Capacity Constraints for Siting Remote Park-and-Ride Facilities |
| title_sort | combined modal split and traffic assignment model with capacity constraints for siting remote park and ride facilities |
| topic | Bi-level programming model combined modal split and traffic assignment multimodal transportation network remote park-and-ride |
| url | https://ieeexplore.ieee.org/document/9081976/ |
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