2023-09-28 14:46:10 +00:00
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abstract: 'Clustering activity patterns and identifying homogeneous travel
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behaviour through trip chain sequences offer valuable insight for
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transportation planners and policymakers in addressing transport equity
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problems and travel demand management. This study explores how income
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and car-ownership levels determine mobility patterns and travellers''
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decisions. Unlike previous studies that investigated the travel mode and
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destinations separately, we designed a novel, aggregated form
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considering the trip purpose and associated transport mode use as a unit
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of our analysis. To mitigate the subjectivity of rule-based approaches
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for trip chain analysis, we employ a novel sequence clustering framework
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to extract homogeneous clusters of activity patterns. Our results reveal
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that income and car-ownership levels influence travellers'' travel
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decisions and mobility patterns. Among low-income carless households,
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37\% of their daily trips include care activities where women more
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frequently than men play this traditional role in a household by either
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public transit or a car as a passenger. In the low-income car-owner
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subsample, females still use public transit for their work trips,
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whereas males more often use the available car to commute to work. Males
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of wealthy carless households integrate public transit and active
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transportation for their daily trips when they live in high-density and
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more accessible neighbourhoods. While our findings demonstrate the
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impact of car ownership, income, and built environment on trip-chaining
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behaviour, we recognise that achieving transport equity will require
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tailored transportation and land use policies and investments that
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address the specific needs and barriers faced by different household
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types, particularly the most vulnerable ones in terms of
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sociodemographic characteristics, accessibility levels, and
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affordability issues. Hence, we recommend that policymakers and planners
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take a more holistic approach to transportation planning that considers
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the interplay of these factors to ensure that transportation systems and
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services are accessible, affordable, and equitable for all.'
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affiliation: 'Barri, EY (Corresponding Author), Istanbul Tech Univ, Dept Urban \&
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Reg Planning, Istanbul, Turkiye.
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Barri, Elnaz Yousefzadeh; Beyazit, Eda, Istanbul Tech Univ, Dept Urban \& Reg Planning,
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Istanbul, Turkiye.
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Farber, Steven; Tiznado-Aitken, Ignacio, Univ Toronto Scarborough, Dept Human Geog,
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Scarborough, ON, Canada.
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Jahanshahi, Hadi, Ryerson Univ, Data Sci Lab, Toronto, ON, Canada.'
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author: Barri, Elnaz Yousefzadeh and Farber, Steven and Jahanshahi, Hadi and Tiznado-Aitken,
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Ignacio and Beyazit, Eda
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author-email: Elnaz.yousefzadeh@mail.utoronto.ca
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author_list:
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- family: Barri
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given: Elnaz Yousefzadeh
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- family: Farber
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given: Steven
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- family: Jahanshahi
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given: Hadi
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- family: Tiznado-Aitken
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given: Ignacio
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- family: Beyazit
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given: Eda
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da: '2023-09-28'
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doi: 10.1080/23249935.2023.2236235
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earlyaccessdate: JUL 2023
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eissn: 2324-9943
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files: []
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issn: 2324-9935
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journal: TRANSPORTMETRICA A-TRANSPORT SCIENCE
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keywords: Travel behaviour; trip chain; mode choice; low-income; car-ownership; >
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keywords-plus: 'TRAVEL BEHAVIOR; MODE CHOICE; ACTIVITY SEQUENCES; PUBLIC-TRANSIT;
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TIME;
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COMPLEXITY; DEMAND; GENDER; CHINA; FOCUS'
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language: English
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month: 2023 JUL 19
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number-of-cited-references: '76'
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orcid-numbers: BEYAZIT, EDA/0000-0002-5526-501X
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papis_id: fa1efddb7002379a1b0568cd65a58156
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ref: Barri2023exploringjoint
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researcherid-numbers: 'Farber, Steven/ABE-6061-2021
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BEYAZIT, EDA/AAG-4848-2019'
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times-cited: '0'
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title: 'Exploring the joint impacts of income, car ownership, and built environment
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on daily activity patterns: a cluster analysis of trip chains'
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2023-10-01 08:15:07 +00:00
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type: article
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2023-09-28 14:46:10 +00:00
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unique-id: WOS:001029408200001
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usage-count-last-180-days: '3'
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usage-count-since-2013: '3'
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web-of-science-categories: Transportation; Transportation Science \& Technology
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year: '2023'
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