{"title":"基于agent的老年人自主移动需求建模:加拿大温尼伯的案例研究","authors":"Manon Prédhumeau, Ed Manley","doi":"10.1007/s11116-025-10590-0","DOIUrl":null,"url":null,"abstract":"<p>As the populations continue to age across many nations, ensuring accessible and efficient transportation options for older adults has become an increasingly important concern. Autonomous Mobility-on-Demand (AMoD) systems have emerged as a potential solution to address the needs faced by older adults in their daily mobility. However, estimation of older adult mobility needs, and how they vary over space and time, is crucial for effective planning and implementation of such service, and conventional four-step approaches lack the granularity to fully account for these needs. To address this challenge, we propose an agent-based model of older adults mobility demand in Winnipeg, Canada. The model is built for 2022 using primarily open data, and is implemented in the Multi-Agent Transport Simulation toolkit. After calibration to accurately reproduce observed travel behaviours, a new AMoD service is tested in simulation and its potential adoption among Winnipeg older adults is explored. The model can help policy makers to estimate the needs of the elderly populations for door-to-door transportation and can guide the design of AMoD transport systems.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"1 2 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Agent-based modelling of older adult needs for autonomous mobility-on-demand: a case study in Winnipeg, Canada\",\"authors\":\"Manon Prédhumeau, Ed Manley\",\"doi\":\"10.1007/s11116-025-10590-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>As the populations continue to age across many nations, ensuring accessible and efficient transportation options for older adults has become an increasingly important concern. Autonomous Mobility-on-Demand (AMoD) systems have emerged as a potential solution to address the needs faced by older adults in their daily mobility. However, estimation of older adult mobility needs, and how they vary over space and time, is crucial for effective planning and implementation of such service, and conventional four-step approaches lack the granularity to fully account for these needs. To address this challenge, we propose an agent-based model of older adults mobility demand in Winnipeg, Canada. The model is built for 2022 using primarily open data, and is implemented in the Multi-Agent Transport Simulation toolkit. After calibration to accurately reproduce observed travel behaviours, a new AMoD service is tested in simulation and its potential adoption among Winnipeg older adults is explored. The model can help policy makers to estimate the needs of the elderly populations for door-to-door transportation and can guide the design of AMoD transport systems.</p>\",\"PeriodicalId\":49419,\"journal\":{\"name\":\"Transportation\",\"volume\":\"1 2 1\",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s11116-025-10590-0\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11116-025-10590-0","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
摘要
随着许多国家的人口持续老龄化,确保老年人有方便、高效的交通选择已成为一个日益重要的问题。自动按需移动(AMoD)系统已经成为解决老年人日常移动需求的潜在解决方案。然而,对老年人流动性需求及其随空间和时间变化的估计对于有效规划和实施此类服务至关重要,而传统的四步法缺乏充分考虑这些需求的粒度。为了应对这一挑战,我们提出了一个基于代理的加拿大温尼伯老年人出行需求模型。该模型主要使用开放数据为2022年构建,并在Multi-Agent Transport Simulation工具包中实现。校准后,准确再现观察到的旅行行为,新的AMoD服务进行了模拟测试,并探讨其在温尼伯老年人中采用的可能性。该模型可以帮助决策者估计老年人口的门到门运输需求,并可以指导老年人口门到门运输系统的设计。
Agent-based modelling of older adult needs for autonomous mobility-on-demand: a case study in Winnipeg, Canada
As the populations continue to age across many nations, ensuring accessible and efficient transportation options for older adults has become an increasingly important concern. Autonomous Mobility-on-Demand (AMoD) systems have emerged as a potential solution to address the needs faced by older adults in their daily mobility. However, estimation of older adult mobility needs, and how they vary over space and time, is crucial for effective planning and implementation of such service, and conventional four-step approaches lack the granularity to fully account for these needs. To address this challenge, we propose an agent-based model of older adults mobility demand in Winnipeg, Canada. The model is built for 2022 using primarily open data, and is implemented in the Multi-Agent Transport Simulation toolkit. After calibration to accurately reproduce observed travel behaviours, a new AMoD service is tested in simulation and its potential adoption among Winnipeg older adults is explored. The model can help policy makers to estimate the needs of the elderly populations for door-to-door transportation and can guide the design of AMoD transport systems.
期刊介绍:
In our first issue, published in 1972, we explained that this Journal is intended to promote the free and vigorous exchange of ideas and experience among the worldwide community actively concerned with transportation policy, planning and practice. That continues to be our mission, with a clear focus on topics concerned with research and practice in transportation policy and planning, around the world.
These four words, policy and planning, research and practice are our key words. While we have a particular focus on transportation policy analysis and travel behaviour in the context of ground transportation, we willingly consider all good quality papers that are highly relevant to transportation policy, planning and practice with a clear focus on innovation, on extending the international pool of knowledge and understanding. Our interest is not only with transportation policies - and systems and services – but also with their social, economic and environmental impacts, However, papers about the application of established procedures to, or the development of plans or policies for, specific locations are unlikely to prove acceptable unless they report experience which will be of real benefit those working elsewhere. Papers concerned with the engineering, safety and operational management of transportation systems are outside our scope.