How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-07-15 DOI:10.1016/j.compenvurbsys.2024.102148
Jingjun Li, Evy Rombaut, Lieselot Vanhaverbeke
{"title":"How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels","authors":"Jingjun Li,&nbsp;Evy Rombaut,&nbsp;Lieselot Vanhaverbeke","doi":"10.1016/j.compenvurbsys.2024.102148","DOIUrl":null,"url":null,"abstract":"<div><p>This research investigates the potential of Shared Autonomous Vehicles (SAVs) to eliminate Conventional Private Vehicles (CPVs) towards sustainable carfree cities. Besides internal-city CPV travellers, travellers with external trips (either origins or destinations are outside the city) are also shifted to SAVs or Public Transit (PT) based on individuals' utilities with Park-and-Ride (PnR) initiatives. Our research presents a new PnR allocation approach optimising PnR facilities selections. Then, several Agent-Based Modellings (ABM) are conducted using MATSim. Brussels, the capital of Belgium, is selected as the case study area. The outcomes reveal the significant impacts of PnR market penetration and SAV pricing strategies. The proposed carfree initiatives bring notable benefits, including reduced congestion in the city centre and significant transport emission reductions. However, there are also drawbacks, such as longer travel time for PnR travellers and increased congestion in specific regions. Consequently, a PnR market penetration between 40% to 60% represents a feasible range under the current Brussels mobility network. Furthermore, SAVs should be seen as a complement to PT rather than with a very low fare structure. Generally, our findings emphasise the necessity for a multifaceted approach for different stakeholders to maximise SAV benefits towards more sustainable mobility networks.</p></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"112 ","pages":"Article 102148"},"PeriodicalIF":7.1000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers Environment and Urban Systems","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0198971524000772","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

This research investigates the potential of Shared Autonomous Vehicles (SAVs) to eliminate Conventional Private Vehicles (CPVs) towards sustainable carfree cities. Besides internal-city CPV travellers, travellers with external trips (either origins or destinations are outside the city) are also shifted to SAVs or Public Transit (PT) based on individuals' utilities with Park-and-Ride (PnR) initiatives. Our research presents a new PnR allocation approach optimising PnR facilities selections. Then, several Agent-Based Modellings (ABM) are conducted using MATSim. Brussels, the capital of Belgium, is selected as the case study area. The outcomes reveal the significant impacts of PnR market penetration and SAV pricing strategies. The proposed carfree initiatives bring notable benefits, including reduced congestion in the city centre and significant transport emission reductions. However, there are also drawbacks, such as longer travel time for PnR travellers and increased congestion in specific regions. Consequently, a PnR market penetration between 40% to 60% represents a feasible range under the current Brussels mobility network. Furthermore, SAVs should be seen as a complement to PT rather than with a very low fare structure. Generally, our findings emphasise the necessity for a multifaceted approach for different stakeholders to maximise SAV benefits towards more sustainable mobility networks.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
将共享自动驾驶车辆与停车换乘相结合的可持续无车城市还有多远?基于代理的布鲁塞尔模拟评估
本研究探讨了共享自动驾驶汽车(SAV)在淘汰传统私家车(CPV)以实现可持续发展的无车城市方面的潜力。除了城市内部的 CPV 旅行者外,外部旅行者(出发地或目的地均在城市之外)也会根据个人对停车换乘(PnR)举措的实用性而转向 SAV 或公共交通(PT)。我们的研究提出了一种优化停车换乘设施选择的全新停车换乘分配方法。然后,使用 MATSim 进行了若干基于代理的建模(ABM)。比利时首都布鲁塞尔被选为案例研究地区。研究结果揭示了无车日市场渗透和无车日定价策略的重大影响。拟议的无车日倡议带来了显著的好处,包括减少市中心的拥堵和显著降低交通排放。不过,也有一些缺点,比如延长了无车旅行者的旅行时间,加剧了特定区域的拥堵。因此,在目前的布鲁塞尔交通网络下,PnR 市场渗透率在 40% 至 60% 之间是可行的范围。此外,SAVs 应被视为公共交通的补充,而不是采用非常低的票价结构。总体而言,我们的研究结果强调了不同利益相关者采取多方面方法的必要性,以最大限度地提高 SAV 的效益,从而实现更可持续的交通网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
期刊最新文献
Estimating the density of urban trees in 1890s Leeds and Edinburgh using object detection on historical maps The role of data resolution in analyzing urban form and PM2.5 concentration Causal discovery and analysis of global city carbon emissions based on data-driven and hybrid intelligence Editorial Board Exploring the built environment impacts on Online Car-hailing waiting time: An empirical study in Beijing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1