利用空间异质模式选择模型对纽约市区间快车的福利、可持续性和公平性进行评估

Hai Yang, Hongying Wu, Lauren Whang, Xiyuan Ren, Joseph Y. J. Chow
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摘要

大都会运输局(MTA)提议修建一条名为 "英特伯勒快线"(IBX)的新轻轨线路,为皇后区和布鲁克林之间提供直接、快速的交通连接。我们使用一个开放的全市出行日程合成数据集和一个街区组级模式选择模型来评估 IBX 可能给纽约市(NYC)带来的潜在影响。IBX 可为全市潜在乘客节省 28.1 分钟。对于前往或离开 IBX 附近地区的乘客而言,预计平均可节省 29.7 分钟。预计 IBX 建成后每天将有超过 25.4 万名乘客(比 IBX 官方提案中的数字高出 69%),其中超过 7.8 万人(30.8%)来自低收入家庭,16.5 万人(64.7%)的起点或终点位于 IBX 通道沿线。增设 IBX 后,每天将有 5 万多人次使用公交出行,其中 1.6 万多人次将不再使用私家车,每天可减少 29.28 公吨温室气体排放。IBX 还能为社区带来可观的消费者剩余收益,据估计,每次出行可带来 1.25 美元的收益,低收入乘客每次出行的收益可高达 1.64 美元。虽然低收入用户的收益比例较高,但该服务似乎并未显著降低消费者盈余低于人口平均水平 10%(已经很低)的旅客比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Welfare, sustainability, and equity evaluation of the New York City Interborough Express using spatially heterogeneous mode choice models
The Metropolitan Transit Authority (MTA) proposed building a new light rail route called the Interborough Express (IBX) to provide a direct, fast transit linkage between Queens and Brooklyn. An open-access synthetic citywide trip agenda dataset and a block-group-level mode choice model are used to assess the potential impact IBX could bring to New York City (NYC). IBX could save 28.1 minutes to potential riders across the city. For travelers either going to or departing from areas close to IBX, the average time saving is projected to be 29.7 minutes. IBX is projected to have more than 254 thousand daily ridership after its completion (69% higher than reported in the official IBX proposal). Among those riders, more than 78 thousand people (30.8%) would come from low-income households while 165 thousand people (64.7%) would start or end along the IBX corridor. The addition of IBX would attract more than 50 thousand additional daily trips to transit mode, among which more than 16 thousand would be switched from using private vehicles, reducing potential greenhouse gas (GHG) emissions by 29.28 metric tons per day. IBX can also bring significant consumer surplus benefits to the communities, which are estimated to be $1.25 USD per trip, or as high as $1.64 per trip made by a low-income traveler. While benefits are proportionately higher for lower-income users, the service does not appear to significantly reduce the proportion of travelers whose consumer surpluses fall below 10% of the population average (already quite low).
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