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Maximizing Ridership through Integrated Bus Service Considering Travel Demand Elasticity with Genetic Algorithm
| 题名： | Maximizing Ridership through Integrated Bus Service Considering Travel Demand Elasticity with Genetic Algorithm |
| 正文语种： | eng |
| 作者： | Qu, Hezhou;Li, Ruijie;Chien, Steven |
| 作者单位： | Southwest Jiaotong Univ Sch Transportat & Logist West Pk Hitech Zone Chengdu 611756 Sichuan Peoples R China|Natl Engn Lab Integrated Transportat Big Data App Chengdu 611756 Sichuan Peoples R China;Southwest Jiaotong Univ Sch Transportat & Logist West Pk Hitech Zone Chengdu 611756 Sichuan Peoples R China;Changan Univ Coll Transportat Engn Xian 710064 Shaanxi Peoples R China|New Jersey Inst Technol John A Reif Jr Dept Civil & Environm Engn Newark NJ 07102 USA |
| 关键词： | Ridership;Bus transit;Service patterns;Demand elasticity;Mode choice;Optimization;Genetic algorithm |
| 摘要： | Developing efficient operational strategies to improve service quality of bus transit, such as reducing travel time, can stimulate ridership. A mathematical model is formulated to optimize integrated bus service which maximizes ridership considering demand elasticity with respect to travel time and fare. The proposed integrated service, consisting of local (e.g., all-stop) and express (e.g., stop-skipping) services, is optimized using a genetic algorithm (GA) subject to minimum service frequency and fleet size constraints. A numerical analysis is conducted under various operation scenarios based on a real-world bus route in Chengdu, China. The results suggest that the optimized integrated service may increase the ridership. The sensitivity analysis is conducted, and the impacts of model parameters on decision variables to the ridership are explored. |
| 出版年： | 2021 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 147 |
| 期： | 4 |
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