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首页> 外文期刊>Discrete dynamics in nature and society >Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis
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Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis

机译:南京城市低收入人群的活动-旅行连锁行为:结构方程分析

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摘要

This paper analyzes the activity-trip chaining behavior of urban low-income populations in Nanjing, China, based on a specific travel survey of low-income residents of Nanjing city (2010), and the database of residents travel survey of Nanjing city (2009). Individual's information of activity participation and trip chains is extracted from the daily travel diary and matched with individual and household characteristics. On top of correlation analysis and normalization process, using the software AMOS, two structural equation models are formulated to analyze the relationship among individuals' sociodemographics, activity duration, and trip chains of low-income populations and non-low-income populations, respectively. Seven household characteristics and six individual characteristics are chosen as the exogenous variables, while 4 indices of activity duration and 4 indices of trip chains are sleeted as the endogenous variables.The result shows that the activity-travel behavior of urban low-income populations is quite unique, which offers promising insights into activity-trip chaining behavior of the poor and extends the need to crafting effective transportation policies specifically for urban low-income populations in developing countries.
机译:本文基于对南京市低收入居民的特定出行调查(2010年)和南京市居民出行调查的数据库(2009年),分析了南京市城市低收入人口的活动-出行连锁行为。 )。从日常旅行日记中提取个人的活动参与和旅行链信息,并与个人和家庭特征相匹配。在相关分析和规范化过程的基础上,使用软件AMOS,建立了两个结构方程模型,分别分析了个人社会人口统计学,活动持续时间以及低收入人口和非低收入人口的旅行链之间的关系。选择了七个家庭特征和六个个体特征作为外生变量,而选择了4个活动持续时间指标和4个旅行链指标作为内生变量。结果表明,城市低收入人口的活动-出行行为相当独特性为穷人的活动行程连锁行为提供了有希望的见识,并扩展了针对发展中国家的城市低收入人群制定有效交通政策的需求。

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