首页> 外文会议>Annual meeting of the transportation research board;Transportation Research Board >THE IMPACT OF RESIDENTIAL LOCATION DECISIONS ON MILES TRAVELED, TRIP FREQUENCY, AND AUTOMOBILE OWNERSHIP FOR HOUSEHOLDS IN THE PORTLAND METROPOLITAN REGION
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THE IMPACT OF RESIDENTIAL LOCATION DECISIONS ON MILES TRAVELED, TRIP FREQUENCY, AND AUTOMOBILE OWNERSHIP FOR HOUSEHOLDS IN THE PORTLAND METROPOLITAN REGION

机译:居住区决策对波特兰大都市地区居民行进里程,出行频率和家庭拥有汽车的影响

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Understanding residential location decisions and their interconnected relationship with travel behavior provides valuable insight to policymakers planning for a more accessible and efficient transportation-land use connection. Decisions regarding neighborhood type, building structure, and housing tenure uniquely contribute to the complexity of residential location. This study examined these residential location decisions and their association with the travel outcomes of miles traveled, person trips, and vehicle ownership for households in the Portland metropolitan region. A two-step methodology utilizing a factor and cluster analysis was employed to introduce a neighborhood typology, constructed of policy sensitive attributes and with commonly available archived data to enable replication in other settings. A set of linear regression models estimated miles traveled by mode, while additional negative binomial models estimated person trips by automobile, bike, and walk as well as household automobile ownership. These travel outcomes were compared across households segmented by lifecycle stage and in regard to light rail access. Results from this research revealed that households located in more urban neighborhoods exhibited lower vehicle miles traveled (VMT), conducted more non-motorized trips, and owned fewer automobiles. Moreover, households residing in multifamily structures tended to own fewer automobiles and walk greater distances with a greater frequency than those residing in single18family units; whereas, households who rented their housing units owned fewer automobiles and drove less often with lower VMT. Less instinctive findings suggested residing near a city center rail station actually increased person miles traveled by bike.
机译:了解住宅位置决策及其与旅行的相互关系 行为为决策者提供了更有价值的见解,使其计划更易于访问和更有效 运输-土地使用连接。有关社区类型,建筑结构, 住房使用权独特地加剧了住宅区位的复杂性。这项研究 检查了这些居住地点决定及其与旅行结果的关系 波特兰市区居民的行驶里程,人次旅行和车辆拥有权 地区。采用因素和聚类分析的两步法介绍 一种邻里类型,由对政策敏感的属性构成,并且通常可用 归档数据以启用其他设置中的复制。一组估计的线性回归模型 按模式行驶的英里数,而其他负二项式模型估计的人出行次数 汽车,自行车和步行以及家用汽车的所有权。这些旅行结果 对按生命周期阶段和轻轨交通划分的各个家庭进行了比较。 这项研究的结果表明,位于更多城市社区的家庭 表现出较低的车辆行驶里程(VMT),进行了更多的非机动旅行并拥有 更少的汽车。而且,居住在多户家庭结构中的家庭往往拥有更少的家庭 与单身人士相比,汽车和步行距离更远,频率更高 家庭单位;而租住住房的家庭拥有的汽车更少, 较低的VMT减少了开车的频率。本能的发现较少,建议居住在市中心附近 火车站实际上增加了骑自行车旅行的人的里程。

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