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A structural equation model based analysis of non-workers' activity-travel behaviour from a city of a developing country

机译:基于结构方程模型的发展中国家城市非劳动者活动-旅行行为分析

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This paper presents an empirical analysis of non-workers' activity-travel behaviour from Bangalore city, India. The paper builds a causal model-to describe the relationships among socio-demographics, activity-participation, and travel behaviour of non-workers-following structural equation modelling methodology. The results indicate that in-home maintenance activity-duration drives the time allocation decisions of non-workers. The model also shows the presence of 'time-budget' effects i.e., excess travel time cuts into in-hhome discretionary activity duration, implying the trade-off between daily travel time and in-home discretionary activity duration. The out-of-home activity durations of non-workers are found to be insensitive to travel time-an important finding of this research. The model also suggests that mixed residential development reduce travel distance and indirectly contribute to more trips. An indirect effect of mixed residential development on daily travel distance offsets the direct effect, which leads to a limited total effect of this variable on travel distance. The basic model was expanded further by separating the time spent on others' activity (children and elders) from in-home maintenance activity duration. The stable model reveals that the time spent on others' activity also influences in-home and out-of-home activities, and travel behaviour. This indicates that the time spent on others' activity is an important time allocation of its own.
机译:本文对印度班加罗尔市非工人的活动-旅行行为进行了实证分析。本文建立了一个因果模型,以遵循结构方程建模方法来描述社会人口统计学,活动参与和非员工出行行为之间的关系。结果表明,家庭维护活动的持续时间驱动着非工作人员的时间分配决策。该模型还显示了“时间预算”效应的存在,即,多余的出行时间减少了家庭自行决定的活动时间,这意味着在日常出行时间与家庭自行决定的活动时间之间进行权衡。发现非工作人员的户外活动时间对旅行时间不敏感,这是这项研究的重要发现。该模型还表明,混合住宅开发可缩短出行距离,并间接增加出行次数。混合住宅开发对每日出行距离的间接影响抵消了直接影响,这导致该变量对出行距离的总影响有限。通过将花费在他人活动(儿童和老人)上的时间与家庭维护活动的时间分开,进一步扩展了基本模型。稳定的模型表明,花费在他人活动上的时间也会影响家庭内和家庭外的活动以及旅行行为。这表明花在他人活动上的时间是自己重要的时间分配。

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