Modelling the relationship between travel behaviours and social disadvantage
Modelling the relationship between travel behaviours and social disadvantage
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DOI：
10.1016/j.tra.2016.01.008
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发表时间：
2016-03-01
影响因子：
6.4
通讯作者：
Antonio Carrasco, Juan
中科院分区：
文献类型：
--
作者：
Lucas, Karen;Bates, John;Antonio Carrasco, Juan
本文的目的是在英国（英国）的社会弱势群体的旅游行为建模使用的数据从英国国家旅游调查2002-2010年。这是通过在标准的国家一级旅行终点模型中引入额外的社会经济变量，并对某些主要社会弱势群体的旅行行为进行基于目的的分析来实现的。具体而言，该文件旨在探讨这些人的经济和社会劣势在多大程度上可以用来解释他们旅行行为的不平等，这些模型表明，根据家庭收入、家中是否有子女、是否拥有驾驶执照以及是否属于弱势群体（如残疾人），非白人或单亲家庭。在家庭收入的情况下，有一个非线性的关系与出行频率和线性的距离旅行。最近，英国和许多其他欧洲国家采取了经济紧缩措施，导致对社会必要的交通服务的公共补贴大幅削减，使得这些结果对交通政策决策越来越重要。结果表明，列入额外的社会经济变量是有用的，以确定显着差异的行程模式和行程的低收入。皇冠版权所有（C）2016由爱思唯尔有限公司出版。保留所有权利。
The purpose of this paper is to model the travel behaviour of socially disadvantaged population segments in the United Kingdom (UK) using the data from the UK National Travel Survey 2002-2010. This was achieved by introducing additional socioeconomic variables into a standard national-level trip end model (TEM) and using purpose-based analysis of the travel behaviours of certain key socially disadvantaged groups. Specifically the paper aims to explore how far the economic and social disadvantages of these individuals can be used to explain the inequalities in their travel behaviours.The models demonstrated important differences in travel behaviours according to household income, presence of children in the household, possession of a driver's licence and belonging to a vulnerable population group, such as being disabled, non-white or having single parent household status. In the case of household income, there was a non-linear relationship with trip frequency and a linear one with distance travelled. The recent economic austerity measures that have been introduced in the UK and many other European countries have led to major cutbacks in public subsidies for socially necessary transport services, making results such as these increasingly important for transport policy decision-making. The results indicate that the inclusion of additional socioeconomic variables is useful for identifying significant differences in the trip patterns and distances travelled by low-income. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.