Abstract

Cycling is gaining popularity both as a mode of travel in urban communities and as an alternative mode to private motorized vehicles due to its wide range of benefits (health, environmental, and economical). However, this change in modal share is not reflected in current transportation planning and travel demand forecasting modeling processes. The existing practices to model bicycle trips in a network are not sophisticated enough to describe the full cyclist experience in route decision-making. This is evident in the existing practices’ methodology: the all-or-nothing assignment uses single attributes such as distance, safety, or a composite measure of safety multiplied by distance. The purpose of this article is to develop a multi-class and multi-criteria bicycle traffic assignment model that not only accounts for multiple user classes by acknowledging that there are different types of cyclists with varying levels of biking experience, but also for relevant factors that may affect each user classes behavior in route choice decisions. The multi-class, multi-criteria bicycle traffic assignment model is developed in a two-stage process. The first stage examines key criteria to generate the set of non-dominated (or efficient) routes for each user class, and the second stage determines the flow allocation to efficient routes by user class. Numerical experiments are then conducted to demonstrate the two-stage approach for the multi-class, multi-criteria bicycle traffic assignment model.

摘要

骑自行车由于其广泛的益处（健康，环保和经济），在城市社区和私人汽车的替代模式中都越来越流行。但是，这种模式份额的变化并未反映在当前的交通规划和旅行需求预测建模过程中。在网络中对自行车出行进行建模的现有实践还不够完善，无法描述骑行者在路线决策中的全部经验。这在现有实践的方法中很明显：全有或全无分配使用诸如距离，安全性或安全性乘以距离的复合度量之类的单个属性。本文的目的是开发一种多类别和多标准的自行车交通分配模型，该模型不仅通过承认存在不同类型的骑自行车者具有不同水平的骑车经历，而且考虑到了相关因素，从而考虑了多个用户类别。可能会影响路由选择决策中每个用户类别的行为。多级，多标准的自行车交通分配模型是分两个阶段开发的。第一阶段检查关键标准，以为每个用户类别生成一组非支配（或有效）路由，第二阶段确定按用户类别向有效路由分配流量。然后进行了数值实验，以证明多级，多标准的自行车交通分配模型的两阶段方法。