ABSTRACT

Nowadays, the significance of developing sustainable transport systems is being reconsidered due to the impact produced by an extensive use of private cars. In this scenario, bicycles are becoming more popular. To encourage cycling, bike-sharing systems have been developed. However, as safety is people’s main concern of cycling, bike-sharing systems should be part of an integral project that includes not only docking stations but a dedicated cycle path network connecting them. A two-stage stochastic programming model that maximizes the travel demand covered by the system is developed. Various demand scenarios in terms of different time periods of a day, travel intensities and levels of commuting demand are considered in the model, in order to obtain robust solutions. A real-world case study based on the city of Montevideo in Uruguay is conducted. The obtained solution shows that the model tends to develop bicycle lane network with good connectivity between transit stations and normal stations, and the obtained network possesses good robustness.

摘要

如今，由于广泛使用私家车所产生的影响，人们重新考虑了发展可持续交通运输系统的重要性。在这种情况下，自行车变得越来越流行。为了鼓励骑自行车，已经开发了自行车共享系统。但是，由于安全是人们骑自行车的主要考虑因素，因此，自行车共享系统应该成为一个整体项目的一部分，该项目不仅包括停靠站，还包括连接它们的专用自行车道网络。开发了一个两阶段的随机规划模型，该模型使系统满足的出行需求最大化。为了获得可靠的解决方案，模型中考虑了一天中不同时间段，旅行强度和通勤需求水平方面的各种需求情景。进行了基于乌拉圭蒙得维的亚市的真实案例研究。