A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance
Efficient parking tends to be challenging in most large cities in China. Drivers often spend substantial amounts of time looking for parking lots while driving at low speeds, thereby resulting in interference with road traffic. This paper focuses on efficiently allocating parking spaces to the deman...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/6147974 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850237875074891776 |
|---|---|
| author | Wenhui Zhang Fan Gao Shurui Sun Qiuying Yu Jinjun Tang Bohang Liu |
| author_facet | Wenhui Zhang Fan Gao Shurui Sun Qiuying Yu Jinjun Tang Bohang Liu |
| author_sort | Wenhui Zhang |
| collection | DOAJ |
| description | Efficient parking tends to be challenging in most large cities in China. Drivers often spend substantial amounts of time looking for parking lots while driving at low speeds, thereby resulting in interference with road traffic. This paper focuses on efficiently allocating parking spaces to the demanders. A double-objective model is proposed that considers both the utilizing rate and the walking distance. First, managers want to utilize parking resources fully. Therefore, they tend to prioritize the efficient distribution of parking spaces in response to parking demands. However, demanders typically choose parking spaces according to convenience. The second objective is the acceptable walking distance from the parking space to the destination. The particle swarm optimization (PSO) algorithm is used to solve this model. We collected parking demand and supply data in a central business district (CBD) of Harbin in China and evaluated the feasibility of the model. The results demonstrate that the proposed model increases the occupying rates of parking lots in residential zones while decreasing the walking distance. The shared use of parking spaces maximizes the utility and alleviates the shortage of parking spaces in downtown. |
| format | Article |
| id | doaj-art-1da0f32b18564d2aac87749c2932361d |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-1da0f32b18564d2aac87749c2932361d2025-08-20T02:01:39ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/61479746147974A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking DistanceWenhui Zhang0Fan Gao1Shurui Sun2Qiuying Yu3Jinjun Tang4Bohang Liu5School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, Heilongjiang, ChinaSmart Transport Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering, Central South University, Changsha 410012, Hunan, ChinaSchool of Traffic and Transportation, Northeast Forestry University, Harbin 150040, Heilongjiang, ChinaSchool of Traffic and Transportation, Northeast Forestry University, Harbin 150040, Heilongjiang, ChinaSmart Transport Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering, Central South University, Changsha 410012, Hunan, ChinaKey Laboratory of Traffic Safety and Control of Hebei Province, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, ChinaEfficient parking tends to be challenging in most large cities in China. Drivers often spend substantial amounts of time looking for parking lots while driving at low speeds, thereby resulting in interference with road traffic. This paper focuses on efficiently allocating parking spaces to the demanders. A double-objective model is proposed that considers both the utilizing rate and the walking distance. First, managers want to utilize parking resources fully. Therefore, they tend to prioritize the efficient distribution of parking spaces in response to parking demands. However, demanders typically choose parking spaces according to convenience. The second objective is the acceptable walking distance from the parking space to the destination. The particle swarm optimization (PSO) algorithm is used to solve this model. We collected parking demand and supply data in a central business district (CBD) of Harbin in China and evaluated the feasibility of the model. The results demonstrate that the proposed model increases the occupying rates of parking lots in residential zones while decreasing the walking distance. The shared use of parking spaces maximizes the utility and alleviates the shortage of parking spaces in downtown.http://dx.doi.org/10.1155/2020/6147974 |
| spellingShingle | Wenhui Zhang Fan Gao Shurui Sun Qiuying Yu Jinjun Tang Bohang Liu A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance Journal of Advanced Transportation |
| title | A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance |
| title_full | A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance |
| title_fullStr | A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance |
| title_full_unstemmed | A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance |
| title_short | A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance |
| title_sort | distribution model for shared parking in residential zones that considers the utilization rate and the walking distance |
| url | http://dx.doi.org/10.1155/2020/6147974 |
| work_keys_str_mv | AT wenhuizhang adistributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT fangao adistributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT shuruisun adistributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT qiuyingyu adistributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT jinjuntang adistributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT bohangliu adistributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT wenhuizhang distributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT fangao distributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT shuruisun distributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT qiuyingyu distributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT jinjuntang distributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance AT bohangliu distributionmodelforsharedparkinginresidentialzonesthatconsiderstheutilizationrateandthewalkingdistance |