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.'
affiliation: 'Barri, EY (Corresponding Author), Istanbul Tech Univ, Dept Urban \&
  Reg Planning, Istanbul, Turkiye.

  Barri, Elnaz Yousefzadeh; Beyazit, Eda, Istanbul Tech Univ, Dept Urban \& Reg Planning,
  Istanbul, Turkiye.

  Farber, Steven; Tiznado-Aitken, Ignacio, Univ Toronto Scarborough, Dept Human Geog,
  Scarborough, ON, Canada.

  Jahanshahi, Hadi, Ryerson Univ, Data Sci Lab, Toronto, ON, Canada.'
author: Barri, Elnaz Yousefzadeh and Farber, Steven and Jahanshahi, Hadi and Tiznado-Aitken,
  Ignacio and Beyazit, Eda
author-email: Elnaz.yousefzadeh@mail.utoronto.ca
author_list:
- family: Barri
  given: Elnaz Yousefzadeh
- family: Farber
  given: Steven
- family: Jahanshahi
  given: Hadi
- family: Tiznado-Aitken
  given: Ignacio
- family: Beyazit
  given: Eda
da: '2023-09-28'
doi: 10.1080/23249935.2023.2236235
earlyaccessdate: JUL 2023
eissn: 2324-9943
files: []
issn: 2324-9935
journal: TRANSPORTMETRICA A-TRANSPORT SCIENCE
keywords: Travel behaviour; trip chain; mode choice; low-income; car-ownership; >
keywords-plus: 'TRAVEL BEHAVIOR; MODE CHOICE; ACTIVITY SEQUENCES; PUBLIC-TRANSIT;
  TIME;

  COMPLEXITY; DEMAND; GENDER; CHINA; FOCUS'
language: English
month: 2023 JUL 19
number-of-cited-references: '76'
orcid-numbers: BEYAZIT, EDA/0000-0002-5526-501X
papis_id: fa1efddb7002379a1b0568cd65a58156
ref: Barri2023exploringjoint
researcherid-numbers: 'Farber, Steven/ABE-6061-2021

  BEYAZIT, EDA/AAG-4848-2019'
times-cited: '0'
title: 'Exploring the joint impacts of income, car ownership, and built environment
  on daily activity patterns: a cluster analysis of trip chains'
type: Article; Early Access
unique-id: WOS:001029408200001
usage-count-last-180-days: '3'
usage-count-since-2013: '3'
web-of-science-categories: Transportation; Transportation Science \& Technology
year: '2023'