Multicriteria Model for Shared Parking and Parking Route Recommender Systems
In many congested areas, shared parking has gotten increasing attention because of its potential to alleviate parking resource shortages. However, managing parking resources remains a challenge when simultaneously considering multiple decision-making criteria of public travelers in allocating parkin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/8369362 |
| _version_ | 1798032865329414144 |
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| author | Pengfei Zhao Lingxiang Wei Dong Pan Shuai Dong |
| author_facet | Pengfei Zhao Lingxiang Wei Dong Pan Shuai Dong |
| author_sort | Pengfei Zhao |
| collection | DOAJ |
| description | In many congested areas, shared parking has gotten increasing attention because of its potential to alleviate parking resource shortages. However, managing parking resources remains a challenge when simultaneously considering multiple decision-making criteria of public travelers in allocating parking spaces and recommending optimal parking routes. To fill this gap, from four perspectives, i.e., driving, among shared parking lots, at a shared parking lot, between shared parking spaces and destinations, we proposed nine criteria for shared parking space allocations and parking route recommendations, and we also gave the quantitative models for different criteria. Furthermore, an analytic hierarchy process Entropy-TOPSIS grey relational analysis (AHP-Entropy-TOPSIS-GRA) method and an improved ant colony algorithm were proposed to solve the proposed allocation of parking spaces and recommend optimal parking routes, respectively. Finally, the validity of our proposed models and algorithms was tested by empirical parking data and road traffic data collected in Huai’an City, Jiangsu province, China. The research helps provide a theoretical foundation for implementing shared parking initiatives and improving public travelers’ parking satisfaction. |
| first_indexed | 2024-04-11T20:20:46Z |
| format | Article |
| id | doaj.art-dee69a9d944f46e8bf05a847f08671ad |
| institution | Directory Open Access Journal |
| issn | 2042-3195 |
| language | English |
| last_indexed | 2024-04-11T20:20:46Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi-Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj.art-dee69a9d944f46e8bf05a847f08671ad2022-12-22T04:04:50ZengHindawi-WileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/8369362Multicriteria Model for Shared Parking and Parking Route Recommender SystemsPengfei Zhao0Lingxiang Wei1Dong Pan2Shuai Dong3School of Civil and Transportation EngineeringSchool of Defense EngineeringSchool of Automobile and Transportation and EngineeringSchool of Materials Science and EngineeringIn many congested areas, shared parking has gotten increasing attention because of its potential to alleviate parking resource shortages. However, managing parking resources remains a challenge when simultaneously considering multiple decision-making criteria of public travelers in allocating parking spaces and recommending optimal parking routes. To fill this gap, from four perspectives, i.e., driving, among shared parking lots, at a shared parking lot, between shared parking spaces and destinations, we proposed nine criteria for shared parking space allocations and parking route recommendations, and we also gave the quantitative models for different criteria. Furthermore, an analytic hierarchy process Entropy-TOPSIS grey relational analysis (AHP-Entropy-TOPSIS-GRA) method and an improved ant colony algorithm were proposed to solve the proposed allocation of parking spaces and recommend optimal parking routes, respectively. Finally, the validity of our proposed models and algorithms was tested by empirical parking data and road traffic data collected in Huai’an City, Jiangsu province, China. The research helps provide a theoretical foundation for implementing shared parking initiatives and improving public travelers’ parking satisfaction.http://dx.doi.org/10.1155/2022/8369362 |
| spellingShingle | Pengfei Zhao Lingxiang Wei Dong Pan Shuai Dong Multicriteria Model for Shared Parking and Parking Route Recommender Systems Journal of Advanced Transportation |
| title | Multicriteria Model for Shared Parking and Parking Route Recommender Systems |
| title_full | Multicriteria Model for Shared Parking and Parking Route Recommender Systems |
| title_fullStr | Multicriteria Model for Shared Parking and Parking Route Recommender Systems |
| title_full_unstemmed | Multicriteria Model for Shared Parking and Parking Route Recommender Systems |
| title_short | Multicriteria Model for Shared Parking and Parking Route Recommender Systems |
| title_sort | multicriteria model for shared parking and parking route recommender systems |
| url | http://dx.doi.org/10.1155/2022/8369362 |
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