Agent-based model for travel behaviour in multimodal networks - a modelling system for travelsmart initiatives

近年来，北美许多城市地区都出现了城市扩张现象。它通常导致中低密度和分散的土地使用；这些特点增加了自给自足，降低了运营高效交通系统的潜力。在大温哥华地区(GVRD)，现在居住在具有这种土地使用特征的绿化带(73%)的居民(73%)多于紧凑而密集的城市形式的温哥华市(27%)。约34.9%的GVRD工作旅行目的地是温哥华，其中13.3%始发于绿化带，25.6%使用交通工具。对于从这些地区产生/前往这些地区的旅行活动，乘客在不同的方式和不同的网络之间换乘，形成所谓的“多式联运”。最近，多式联运旅游的话题在公众和媒体中引起了相当大的关注。因此，多式联运分配模式正日益成为任何区域规划工作的重要组成部分。现有的研究工作集中在汽车出行和交通操作上，导致简化(或忽略)其他出行方式(如交通或步行)的操作和性能。对于多式联运来说，这是一个重大缺陷，因为大多数多式联运都将过境作为主要的旅行方式。事实上，很大一部分多式联运旅行不包括旅行的任何部分的自动使用(例如步行-运输旅行)。在GVRD中，使用多式联运网络(例如步行/公共交通、自行车/公共交通、汽车/公共交通等)前往温哥华市中心的出行比例约为50%。这项研究的重点是开发一个模拟系统，以评价和评估支持多式联运(公共)运输网络和目标TravelSmart举措整合的广泛政策。TravelSmart计划推广可持续、健康和减少汽车使用的出行选择。这项研究提出了一种创新的方法来研究多式联运网络中乘客出行选择的建模和多式联运出行的多智能体分配框架的发展。

Urban sprawl has been observed in many urban areas across North America in recent years. It generally results in areas of medium to low densities and dispersed land use; such characteristics increase auto-dependency and lessen the potential of running an efficient transit system. In the Greater Vancouver Regional District (GVRD), more residents now live in the Green Belt (73%) with such land use characteristics, than in the City of Vancouver (27%) with its compact and dense urban form. With about 34.9% of the GVRD work trips destined to Vancouver, 13.3% of those are originated in the Green Belt with a 25.6% using transit. For travel activities generated from/destined to such areas, passengers transfer between different modes and different networks, forming what is called "multimodal trips". The topic of multimodal trip-making has been the topic of considerable attention in the public and media lately. Therefore, multimodal assignment models are increasingly becoming an essential component of any region-wide planning exercise. Existing research efforts have focused on auto trips and traffic operations, resulting in simplifying (or ignoring) the operations and performance of other modes of travel (such as transit or walking). For multimodal trips, this presents a major drawback since most multimodal trips include transit as the primary mode of travel. In fact, a large portion of multimodal trips do not include auto-usage for any part of the trip (e.g. walk-transit trips). In the GVRD, the percentage of trips using multimodal networks (e.g. walk/transit, bike/transit, auto/transit, etc) destined to Downtown Vancouver is about 50%. The focus of this research is to develop a modelling system to evaluate and assess a broad range of policies that support the integration of multimodal (public) transport networks and target TravelSmart initiatives. TravelSmart initiatives promote travel alternatives that are sustainable, healthy and reduce car use. This research proposes an innovative approach to investigate the modelling of passengers' travel choices in a multimodal network and the development of a multi-agent assignment framework for multimodal trips.