Exploring the joint impacts of income, car ownership, and built environment on daily activity patterns: a cluster analysis of trip chains

IF 3.6 2区 工程技术 Q2 TRANSPORTATION
Elnaz Yousefzadeh Barri , Steven Farber , Hadi Jahanshahi , Ignacio Tiznado-Aitken , Eda Beyazit
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引用次数: 0

Abstract

Clustering activity patterns and identifying homogeneous travel behaviour through trip chain sequences offer valuable insight for transportation planners and policymakers in addressing transport equity problems and travel demand management. This study explores how income and car-ownership levels determine mobility patterns and travellers' decisions. Unlike previous studies that investigated the travel mode and destinations separately, we designed a novel, aggregated form considering the trip purpose and associated transport mode use as a unit of our analysis. To mitigate the subjectivity of rule-based approaches for trip chain analysis, we employ a novel sequence clustering framework to extract homogeneous clusters of activity patterns. Our results reveal that income and car-ownership levels influence travellers' travel decisions and mobility patterns. Among low-income carless households, 37% of their daily trips include care activities where women more frequently than men play this traditional role in a household by either public transit or a car as a passenger. In the low-income car-owner subsample, females still use public transit for their work trips, whereas males more often use the available car to commute to work. Males of wealthy carless households integrate public transit and active transportation for their daily trips when they live in high-density and more accessible neighbourhoods. While our findings demonstrate the impact of car ownership, income, and built environment on trip-chaining behaviour, we recognise that achieving transport equity will require tailored transportation and land use policies and investments that address the specific needs and barriers faced by different household types, particularly the most vulnerable ones in terms of sociodemographic characteristics, accessibility levels, and affordability issues. Hence, we recommend that policymakers and planners take a more holistic approach to transportation planning that considers the interplay of these factors to ensure that transportation systems and services are accessible, affordable, and equitable for all.
探讨收入、汽车拥有量和建筑环境对日常活动模式的共同影响:出行链的聚类分析
聚类活动模式和通过旅行链序列识别同质旅行行为为交通规划者和决策者解决交通公平问题和旅行需求管理提供了宝贵的见解。这项研究探讨了收入和汽车拥有量水平如何决定出行模式和旅行者的决定。与以往的研究不同,我们将旅行目的和相关的交通方式作为分析的一个单元,设计了一种新颖的综合形式。为了减轻基于规则的出行链分析方法的主观性,我们采用了一种新的序列聚类框架来提取活动模式的同质聚类。我们的研究结果表明,收入和汽车拥有量水平会影响旅行者的出行决策和出行模式。在低收入无车家庭中,37%的日常出行包括护理活动,女性比男性更频繁地在家庭中扮演这一传统角色,要么乘坐公共交通工具,要么乘坐汽车作为乘客。在低收入车主的子样本中,女性仍然使用公共交通工具上班,而男性则更多地使用现有的汽车上下班。富裕无车家庭的男性居住在人口密集、交通便利的社区,他们将公共交通和主动交通作为日常出行的一部分。虽然我们的研究结果显示了汽车拥有量、收入和建筑环境对出行连锁行为的影响,但我们认识到,实现交通公平将需要量身定制的交通和土地使用政策和投资,以解决不同家庭类型面临的具体需求和障碍,特别是在社会人口特征、可达性水平和可负担性问题方面最脆弱的家庭。因此,我们建议政策制定者和规划者采取更全面的方法进行交通规划,考虑这些因素的相互作用,以确保所有人都能获得、负担得起和公平的交通系统和服务。
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来源期刊
Transportmetrica A-Transport Science
Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
8.10
自引率
12.10%
发文量
55
期刊介绍: Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
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