The impact of residential neighborhood type on travel behavior: A structural equations modeling approach
The impact of residential neighborhood type on travel behavior: A structural equations modeling approach
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DOI：
10.1007/s001680200083
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发表时间：
2002-06-01
影响因子：
1.7
通讯作者：
Mokhtarian, PL
中科院分区：
文献类型：
--
作者：
Bagley, MN;Mokhtarian, PL
本文使用结构方程系统，实证研究了居民区类型的旅游行为的关系，纳入态度，生活方式和人口统计变量。1993年，从弗朗西斯科湾区五个社区的居民（最终N = 515）中收集了有关这些变量的数据，包括“传统”和“郊区”以及这两个极端的混合物。通过一个九方程结构模型系统，将有关关键变量之间相互关系的概念模型付诸实施。这9个内生变量包括2个居住区位类型、3个出行需求、3个态度和1个工作区位，其中态度和生活方式变量对出行需求的直接影响和总影响最大。相比之下，居住区位类型对出行行为的影响较小。这也许是迄今为止最有力的证据，支持这样的推测，即通常观察到的土地利用配置和旅行模式之间的关联不是直接的因果关系，而是主要由于这些变量中的每一个与其他变量的相关性。特别是，研究结果表明，当态度，生活方式和社会人口变量占，邻里类型对旅行行为的影响不大。
Using a system of structural equations, this paper empirically examines the relationship of residential neighborhood type to travel behavior, incorporating attitudinal, lifestyle, and demographic variables. Data on these variables were collected from residents of five neighborhoods in the San Francisco Bay Area in 1993 (final N = 515), including "traditional" and "suburban" as Well as mixtures of those two extremes. A conceptual model of the interrelationships among the key variables of interest was operationalized with a nine-equation structural model system. The nine endogenous variables included two measures of residential location type, three measures of travel demand, three attitudinal measures, and one measure of job location.In terms of both direct and total effects, attitudinal and lifestyle variables had the greatest impact on travel demand among all the explanatory variables. By contrast, residential location type had little impact On travel behavior. This is perhaps the strongest evidence to date supporting the speculation that the association commonly observed between land use configuration and travel patterns is not one of direct causality, but due primarily to correlations of each of those variables with others. In particular, the results suggest that when attitudinal, lifestyle, and sociodemographic variables are accounted for, neighborhood type has little influence on travel behavior.