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Life history-oriented residential location choice model: A stress-based two-tier panel modeling approach

机译:面向生活史的住宅区位选择模型:基于压力的两层面板建模方法

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This paper presents a life history-oriented modeling framework to investigate residential location decisions as a two-tier process of location search and location choice. In the first tier, a stress-based location search model is developed by assuming that households search for a new location due to continual stress at different life-domains. The search model adopts a fuzzy logic-based modeling method that mimics the inter-dependencies between push and pull factors. In the second tier, a location choice model is developed that accommodates how location decisions interact with life-cycle events at different life-domains. The model utilizes a latent segmentation-based logit modeling technique to address the panel effect of the households' housing career. The model results suggest that households in general show preference for larger lots, and locations closer to work place, transit stop, and health service. Location choice is found to be significantly influenced by the life-cycle events as well as the lead and lagged effects. For example, the birth of a child magnifies the need of larger lots. The life-history effects, however vary across two segments. Suburbanite households in segment two prefer larger lots following a job change; whereas, urbanite households in segment one show a negative relationship. The adjustment period for a job change is longer than that of addition of a new job. A longer adjustment time is also found in the case of the first time vehicle purchase than acquisition of a vehicle. Presence of children influences suburbanite households to reside closer to work place. Urbanite households with children prefer to live closer to school. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文提出了一个面向生活史的建模框架,以调查住宅位置决策,将其作为位置搜索和位置选择的两层过程。在第一层,基于压力的位置搜索模型是通过假设家庭由于在不同生活域的持续压力而搜索新位置而开发的。搜索模型采用基于模糊逻辑的建模方法,该方法模拟推拉因子之间的相互依赖性。在第二层中,开发了一个位置选择模型,该模型可以适应位置决策如何与不同生命域中的生命周期事件进行交互。该模型利用基于潜在细分的logit建模技术来解决家庭住房职业的面板效应。模型结果表明,一般而言,住户对较大的地段,靠近工作地点,公交车站和卫生服务的地点表现出偏爱。发现位置选择受生命周期事件以及超前和滞后影响显着影响。例如,孩子的出生扩大了对大批物品的需求。但是,生活史的影响在两个方面有所不同。在工作变动之后,第二部分的郊区居民更喜欢大批土地。而第一类的城市居民家庭则表现出负相关。职位变更的调整期比增加新职位的调整期长。在首次购车的情况下,还发现了比购置车辆更长的调节时间。儿童的存在影响郊区居民家庭居住在离工作地点较近的地方。有子女的城市居民家庭更喜欢离学校较近。 (C)2017 Elsevier Ltd.保留所有权利。

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