首页> 外文会议>Transportation Research Board Annual meeting >IMPACTS OF BOSTON’S SILVER LINE BUS RAPID TRANSIT (BRT) RT) ON SALE PRICES OF CONDOMINIUMS ALONG WASHINGTON STREET
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IMPACTS OF BOSTON’S SILVER LINE BUS RAPID TRANSIT (BRT) RT) ON SALE PRICES OF CONDOMINIUMS ALONG WASHINGTON STREET

机译:波士顿银线快速公交(BRT)RT对华盛顿大街沿线共管公寓销售价格的影响

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As Bus Rapid Transit (BRT) continues to grow in popularity in the United States, a betterunderstanding of the mode’s impacts on land uses and property values continues to be needed.This paper describes an effort to quantify the impacts of access to BRT stations on the sale pricesof surrounding condominiums located along Boston’s Washington Street where Phase I of theSilver Line BRT began operating in 2002. To test the hypothesis that the BRT stations have animpact on market value that is similar to light rail transit projects (considering the level andpermanence of the investment) a hedonic regression methodology was used to estimate theimpact of access to BRT stations on sale prices of condo units. A key result is that, for condosales that occurred in 2007 or 2009, the BRT premium is approximately 7.6 percent. For condosales in 2000 and 2001, prior to the opening of the Silver Line, no sales premium exists forproximity to the corridor. These results suggest that it is access to high quality transit service,not necessarily the mode itself, that induces this premium. While this study is specific to theBoston Silver Line Washington Street corridor, further research into the impacts of BRT isencouraged to provide policymakers and the transit industry with the best information possible tomake optimal transit investment decisions in their communities.
机译:随着快速公交(BRT)在美国的持续流行,一种更好的 仍然需要了解该模式对土地使用和财产价值的影响。 本文介绍了一种量化量化使用BRT站对销售价格的影响的工作 位于波士顿华盛顿街一期的周边公寓 Silver Line BRT于2002年开始运营。为了检验BRT站有一个 对市场价值的影响类似于轻轨项目(考虑水平和 投资的永久性)使用享乐回归方法来估算 使用BRT站对公寓单位销售价格的影响。一个关键的结果是,对于公寓 在2007年或2009年发生的销售中,BRT溢价约为7.6%。对于公寓 在Silver Line启用之前,在2000年和2001年没有任何销售, 靠近走廊。这些结果表明,它可以使用高质量的公交服务, 不一定是导致价格溢价的模式本身。虽然这项研究专门针对 波士顿银线华盛顿街走廊,对BRT的影响的进一步研究是 鼓励为决策者和公交行业提供最佳信息,以 在其社区中做出最佳的公交投资决策。

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