封锁后的公共交通运营:如何实现?
Hemant K Suman1, Amit Agarwal2, Nomesh B Bolia3
1Department of Transport Engineering and Logistics, Pontificia Universidad Catòlica de Chile, Santiago, Chile.
概括
公共交通巴士服务面临着由于物理距离的挑战. 这项研究开发了优化公交车队重新分配的模型,确保服务连续性和提高性能,即使容量减少.
科学领域:
- 运输科学 运输科学
- 运营研究 运营研究
- 公共卫生 公共卫生
背景情况:
- 由于冠状病毒疾病 (COVID-19) 的全球封锁引入了严格的旅行限制.
- 物理距离要求从根本上改变了公共交通运输运营和旅行行为.
- 由于这些变化,预计公共交通需求和供应之间的差距将很大.
研究的目的:
- 分析物理距离对公共交通供需的影响.
- 开发系统优化模型,以有效地重新分配公交车队.
- 为了应对在新的运营约束下维持公共巴士服务的挑战.
主要方法:
- 为公交车队重新分配开发系统优化模型.
- 将模型应用于德里34条公交线路的现实网络.
- 分析了三个场景:当前的,实际的和理想的,考虑到不同的身体距离水平和旅行需求.
主要成果:
- 业务如常 (BAU) 场景表明,在物理距离下,不可能以当前的分配方法维持公共巴士服务.
- 拟议的优化模型能够有效地将公共汽车车队,包括置车队,重新分配到路线上.
- 在所有分析的场景中,关键绩效指标的显著改善被观察到.
结论:
- 目前的公共交通分配策略不足以满足流行病后的运营需求.
- 系统优化模型为调整公共汽车服务以满足物理距离要求提供了可行的解决方案.
- 有效的车队管理对于确保公共交通运输的连续性和性能至关重要.
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