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

多式联运网络中基于代理的旅行行为模型 - 智能旅行计划的建模系统

• 批准号: 386503-2010
• 负责人: Wahba, Mohamed
• 金额: $ 1.46万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=463822
• 关键词: Agent; based; model; travel; behaviour

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.

近年来，在北美的许多城市地区都观察到了城市蔓延。它通常会导致中等至低密度和分散土地使用的区域；这种特征会增加自动依赖性，并降低运行有效运输系统的潜力。在大温哥华地区区（GVRD）中，现在居住在绿化带（73％）的居民比温哥华市（27％）（27％）居住在绿带（73％），其紧凑而密集的城市形式。约有34.9％的GVRD工作旅行注定要到温哥华，其中13.3％起源于绿带，使用运输率为25.6％。对于从/注定到此类地区的旅行活动，乘客在不同模式和不同网络之间转移，形成了所谓的“多模式旅行”。最近，多模式旅行的话题一直是公众和媒体的广泛关注的话题。因此，多模式分配模型越来越成为任何区域规划练习的重要组成部分。现有的研究工作集中在自动旅行和交通运营上，从而简化（或忽略）其他旅行模式（例如过境或步行）的操作和性能。对于多模式旅行，这是一个主要的缺点，因为大多数多模式旅行都将运输作为主要旅行方式。实际上，大部分多模式旅行不包括旅行任何部分的自动使用（例如，步行式旅行）。在GVRD中，使用多模式网络的旅行百分比（例如，到达温哥华市中心的步行/运输，自行车/运输，自动/交通等）约为50％。这项研究的重点是开发一个建模系统，以评估和评估支持多模式（公共）运输网络和目标旅行倡议的广泛政策。 Travelsmart计划促进可持续，健康并减少汽车使用的旅行替代方案。这项研究提出了一种创新的方法，以调查乘客在多模式网络中的旅行选择的建模，并开发用于多模式旅行的多代理分配框架。