首页> 外文OA文献 >Modelling urban public transit users' route choice behaviour: review and outlook
【2h】

Modelling urban public transit users' route choice behaviour: review and outlook

机译:模拟城市公交用户的路线选择行为:回顾与展望

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper reviews the main development of approaches to modelling urban public transit users’ route choice behaviour from 1960s to the present. The approaches reviewed include the early heuristic studies on finding the least cost transit route and all-or-nothing transit assignment, the bus common line problem and corresponding network representation methods, the disaggregate discrete choice models which are based on random utility maximization assumptions, the deterministic use equilibrium and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models using either frequency or schedule based network formulation. ududIn addition to reviewing past outcomes, this paper also gives an outlook into the possible future directions of modelling transit users’ route choice behaviour. Based on the comparison with the development of models for motorists’ route choice and traffic assignment problems in an urban road area, this paper points out that it is rewarding for transit route choice research to draw inspiration from the intellectual outcomes out of the road area. Particularly, in light of the recent advancement of modelling motorists’ complex road route choice behaviour, this paper advocates that the modelling practice of transit users’ route choice should further explore the complexities of the problem.ud
机译:本文回顾了从1960年代到现在的城市公共交通用户的路线选择行为建模方法的主要发展。所审查的方法包括早期启发式研究,以查找成本最低的公交路线和全有或全无公交分配,公交共线问题和相应的网络表示方法,基于随机效用最大化假设的分类离散选择模型,确定性使用均衡和随机用户均衡运输分配模型,以及最近的基于频率或进度表的动态运输分配模型。 ud ud除了回顾过去的结果之外,本文还展望了对公交用户的路线选择行为进行建模的未来可能方向。在与城市道路区域驾驶员路线选择和交通分配问题模型开发进行比较的基础上,本文指出,从道路领域的智力成果中汲取灵感对于过境路线选择研究是有益的。特别地,鉴于建模驾驶员最近的复杂道路路线选择行为的发展,本文主张过境用户路线选择的建模实践应进一步探讨问题的复杂性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号