Do residential location effects on travel behavior differ between the elderly and younger adults?

旅游行为 人口学 社会经济地位 选择(遗传算法) 心理学 住宅区 地理 老年学 医学 运输工程 人口 计算机科学 工程类 社会学 土木工程 人工智能
作者
Long Cheng,Jonas De Vos,Kunbo Shi,Min Yang,Xuewu Chen,Frank Witlox
出处
期刊:Transportation Research Part D-transport and Environment [Elsevier BV]
卷期号:73: 367-380 被引量:73
标识
DOI:10.1016/j.trd.2019.07.015
摘要

The built environment affects individuals’ travel behavior in a variety of dimensions, such as trip generation, mode choice, and travel duration. However, it is not well understood how these effects differ across different socioeconomic groups (e.g. the elderly versus younger adults) and how residential self-selection contributes to these differences. Using the 2013 Nanjing (China) Travel Survey data, this study estimates the differential responsiveness to the variation in residential location for different age groups. The two-step clustering method is applied to characterize two types of residential locations and the propensity score matching approach is utilized to address self-selection effects. We find that, after control for self-selection, residential location effects on travel behavior differ significantly between the elderly (60+ years old) and younger respondents (18–59 years old). Changes in the living environment play a more important role in influencing the elderly’s travel frequency and travel duration than those of younger adults. When we compare the observed effects of residential location, self-selection effects are modest for the elderly while they matter to a great extent for younger adults. In addition, due to differences in residential self-selection, there is an underestimation of residential location effects on the elderly’s travel behavior versus an overestimation of those for younger adults. These findings indicate that overlooking the variation of built environment effects between different age groups may lead to ineffective housing and transportation policy implications.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
顺利大门完成签到,获得积分10
刚刚
领导范儿应助fengdengjin采纳,获得10
刚刚
六六发布了新的文献求助10
1秒前
1秒前
马茹发布了新的文献求助10
2秒前
欣欣发布了新的文献求助50
2秒前
小郭发布了新的文献求助10
2秒前
kiveeen完成签到,获得积分10
2秒前
苹果绿完成签到,获得积分10
3秒前
Fcs完成签到,获得积分20
3秒前
大模型应助橘子和柚子采纳,获得10
4秒前
大橙子完成签到,获得积分10
5秒前
终陌发布了新的文献求助20
5秒前
yimax发布了新的文献求助10
6秒前
英勇的凤灵应助刘笛采纳,获得10
6秒前
彭于晏应助就爱炸元宵采纳,获得10
6秒前
Yfx发布了新的文献求助10
6秒前
耍酷的香菇完成签到,获得积分10
6秒前
7秒前
充电宝应助阿诺采纳,获得10
8秒前
OFish完成签到,获得积分10
8秒前
pacman完成签到,获得积分20
8秒前
吉吉完成签到,获得积分10
9秒前
9秒前
可爱的函函应助高贵靖仇采纳,获得10
10秒前
科研通AI6.2应助甜蜜惜儿采纳,获得10
10秒前
英勇的凤灵应助waitingfor采纳,获得10
11秒前
细心的尔容完成签到,获得积分10
11秒前
wanci应助霖槿采纳,获得10
11秒前
tudou发布了新的文献求助10
11秒前
凡凡完成签到,获得积分10
12秒前
12秒前
微笑的忆枫完成签到 ,获得积分10
13秒前
13秒前
14秒前
14秒前
小马甲应助jiojio采纳,获得10
15秒前
小赞完成签到,获得积分10
15秒前
钉钉123456发布了新的文献求助10
16秒前
konnie完成签到 ,获得积分10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764714
求助须知:如何正确求助?哪些是违规求助? 9308928
关于积分的说明 20308762
捐赠科研通 7349489
什么是DOI,文献DOI怎么找? 3314510
关于科研通互助平台的介绍 2463966
邀请新用户注册赠送积分活动 2328799