{"title":"一期和二期 Vélo 计划对巴黎车流量的影响--实证分析","authors":"Elena Natterer, Allister Loder, Klaus Bogenberger","doi":"arxiv-2408.09836","DOIUrl":null,"url":null,"abstract":"In recent years, Paris, France, transformed its transportation\ninfrastructure, marked by a notable reallocation of space away from cars to\nactive modes of transportation. Key initiatives driving this transformation\nincluded Plan V\\'elo I and II, during which the city created over 1,000\nkilometres of new bike paths to encourage cycling. For this, substantial road\ncapacity has been removed from the system. This transformation provides a\nunique opportunity to investigate the impact of the large-scale network\nre-configuration on the network-wide traffic flow. Using the Network\nFundamental Diagram (NFD) and a re-sampling methodology for its estimation, we\ninvestigate with empirical loop detector data from 2010 and 2023 the impact on\nthe network's capacity, critical density, and free-flow speed resulting from\nthese policy interventions. We find that in the urban core with the most policy\ninterventions, per lane capacity decreased by over 50%, accompanied by a 60%\ndrop in free-flow speed. Similarly, in the zone with fewer interventions,\ncapacity declined by 34%, with a 40% reduction in free-flow speed. While these\nchanges seem substantial, the NFDs show that overall congestion did not\nincrease, indicating a modal shift to other modes of transport and hence\npresumably more sustainable urban mobility.","PeriodicalId":501309,"journal":{"name":"arXiv - CS - Computational Engineering, Finance, and Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of the Plan Vélo I and II on vehicular flow in Paris -- An Empirical Analysis\",\"authors\":\"Elena Natterer, Allister Loder, Klaus Bogenberger\",\"doi\":\"arxiv-2408.09836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, Paris, France, transformed its transportation\\ninfrastructure, marked by a notable reallocation of space away from cars to\\nactive modes of transportation. Key initiatives driving this transformation\\nincluded Plan V\\\\'elo I and II, during which the city created over 1,000\\nkilometres of new bike paths to encourage cycling. For this, substantial road\\ncapacity has been removed from the system. This transformation provides a\\nunique opportunity to investigate the impact of the large-scale network\\nre-configuration on the network-wide traffic flow. Using the Network\\nFundamental Diagram (NFD) and a re-sampling methodology for its estimation, we\\ninvestigate with empirical loop detector data from 2010 and 2023 the impact on\\nthe network's capacity, critical density, and free-flow speed resulting from\\nthese policy interventions. We find that in the urban core with the most policy\\ninterventions, per lane capacity decreased by over 50%, accompanied by a 60%\\ndrop in free-flow speed. Similarly, in the zone with fewer interventions,\\ncapacity declined by 34%, with a 40% reduction in free-flow speed. While these\\nchanges seem substantial, the NFDs show that overall congestion did not\\nincrease, indicating a modal shift to other modes of transport and hence\\npresumably more sustainable urban mobility.\",\"PeriodicalId\":501309,\"journal\":{\"name\":\"arXiv - CS - Computational Engineering, Finance, and Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computational Engineering, Finance, and Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.09836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Engineering, Finance, and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.09836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effects of the Plan Vélo I and II on vehicular flow in Paris -- An Empirical Analysis
In recent years, Paris, France, transformed its transportation
infrastructure, marked by a notable reallocation of space away from cars to
active modes of transportation. Key initiatives driving this transformation
included Plan V\'elo I and II, during which the city created over 1,000
kilometres of new bike paths to encourage cycling. For this, substantial road
capacity has been removed from the system. This transformation provides a
unique opportunity to investigate the impact of the large-scale network
re-configuration on the network-wide traffic flow. Using the Network
Fundamental Diagram (NFD) and a re-sampling methodology for its estimation, we
investigate with empirical loop detector data from 2010 and 2023 the impact on
the network's capacity, critical density, and free-flow speed resulting from
these policy interventions. We find that in the urban core with the most policy
interventions, per lane capacity decreased by over 50%, accompanied by a 60%
drop in free-flow speed. Similarly, in the zone with fewer interventions,
capacity declined by 34%, with a 40% reduction in free-flow speed. While these
changes seem substantial, the NFDs show that overall congestion did not
increase, indicating a modal shift to other modes of transport and hence
presumably more sustainable urban mobility.