为了提高或降低价格? 在COVID-19期间在战略通勤者面前管理公共交通队列
1Centre for Mathematical and Computational Economics, School of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur, Jodhpur, India.
概括
COVID-19改变了城市旅行. 公共交通价格可能会影响通勤者的选择,这表明较低的价格可能会改善必要旅客的访问.
科学领域:
- 运输科学 运输科学
- 城市规划 城市规划
- 公共卫生 公共卫生
背景情况:
- COVID-19显著影响了全球城市旅行行为和模式选择.
- 公共交通运输提供商在尽量减少病毒传播和保持负担能力之间面临困境.
- 在这些条件下了解通勤决策对于服务提供至关重要.
研究的目的:
- 分析公共交通价格策略在COVID-19大流行期间对通勤者行为的影响.
- 开发公共交通票柜台的战略排队模式.
- 调查定价如何影响基于通勤公用事业的加入或拒绝决策.
主要方法:
- 开发一个战略排队模型.
- 马科夫队列理论的应用.马科夫队列理论的应用.
- 基于衍生效益和定价的通勤决策 (加入/停留) 的分析.
主要成果:
- 这项研究挑战了关于公共交通价格的传统智慧.
- 结果表明,降低价格可以过出非必需的,富裕的通勤者.
- 较低的价格可以促进依赖公共交通的通勤者使用公共交通工具.
结论:
- 公共交通价格调整是管理COVID-19后需求和股权的战略工具.
- 反直觉的定价策略 (降低价格) 可以提高弱势通勤群体的服务可访问性.
- 这种方法平衡了公共卫生问题与基本流动性服务的需求.
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