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Taxi vs. demand responsive shared transport systems: An agent-based simulation approach

机译:出租车与需求响应共享传输系统:基于代理的仿真方法

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Public transport in urban and suburban areas is not always able to meet population's need of accessibility to jobs, education, health and other opportunities in terms of routes and frequencies; therefore, those who do not own a private vehicle, or who cannot afford individual public transport (e.g. taxis), are often in a condition of social exclusion. Taking advantages of new ICT tools and facilities, Demand Responsive Shared Transport (DRST) services can provide "on demand" transport gathering ride bookings of different users and routing a fleet of vehicles to satisfy passengers' needs while minimizing the cost for the operator.In this paper, different DRST service configurations are compared to taxi services to investigate their economic attractiveness and sustainability. This is done by using an agent-based simulation model applied to the case of Ragusa (Italy), a city with poor public transport supply, where an innovative DRST service has already been experimented. A set of 50 different scenarios has been simulated, by varying the numbers of vehicles and seat capacity, and considering different demand rates and route choice strategies of the vehicles. Results are analyzed according to different key performance indicators, mainly showing that the DRST system is more advantageous than taxis when dealing with higher demand rates. On the other hand, the efficiency of the DRST system is rather limited compared to taxis in the case of low transport demand and fleets with a small number of vehicles. Between high and low demand there is a balance between the taxi and the DRST systems, where one should deepen the analysis to identify optimal operational parameters. These results pave the way for further analyses to help the planning and design of intermediate transport services like DRST, which are able to bridge the gap between collective and individual transport in urban and suburban areas.
机译:城市和郊区地区的公共交通并不总能在路线和频率方面满足人口对工作,教育,健康和其他机会的可用性;因此,那些不拥有私人车辆的人,或者不能承担个人公共交通工具(例如出租车),通常是社会排斥的条件。采取新ICT工具和设施的优势,需求响应性共享运输(DRST)服务可以提供“按需”运输集合不同用户的乘坐预订,并在最小化运营商的成本的同时满足乘客的需求。本文将不同的DRST服务配置与出租车服务进行比较,以调查其经济吸引力和可持续性。这是通过使用基于代理的仿真模型来完成,该模型适用于Ragusa(意大利)的案例,该城市具有差的公共交通供应差,其中创新的DRST服务已经进行了实验。通过改变车辆和座位容量的数量,以及考虑到不同的需求和路径选择策略,已经模拟了一组50种不同的场景。根据不同的关键性能指标进行分析结果,主要表明,在处理更高的需求率时,DRST系统比出租车更有利。另一方面,与具有少量车辆的运输需求和车队的出租车相比,DRST系统的效率相当有限。在高低需求之间,出租车和DRST系统之间存在平衡,其中应该加深分析以确定最佳操作参数。这些结果铺平了进一步分析的方法,以帮助DRST等中间运输服务的规划和设计能够弥合城市和郊区集体和个人运输之间的差距。

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