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Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior

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  • Lavieri, Patrícia S.
  • Dai, Qichun
  • Bhat, Chandra R.

Abstract

In this study, we propose a conceptual and analytic framework anchored on the concepts of physical and virtual accessibility (the “ease” with which opportunities or activities can be reached in the physical and in the virtual space, respectively) to investigate the rich interplay between virtual and physical activity engagements in multiple activity purposes, while controlling for information and communication technology (ICT) use measures, physical accessibility measures, and demographics. Our framework considers that activity-travel choices are consequences of individual, household, and work characteristics that are mediated by virtual accessibility and physical accessibility. As part of our analysis, we also analyze activity chaining characteristics during travel to study any fragmentation impacts caused by ICT use on activity engagement and scheduling. We use data from the 2011 and 2012 National Travel Survey in Great Britain and apply Bhat’s (2015) generalized heterogeneous data model (GHDM) to jointly model multiple activity and travel outcomes. Our results provide important insights for social welfare, work-life balance, and equity policies, and suggest that decisions regarding virtual activity participations and in-person out-of-home activity participations are determined as a package. Ignoring this package nature of choices can lead to misleading inferences about the effects of virtual activity participations on in-person out-of-home activity participations.

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  • Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
    • Handle: RePEc:eee:transa:v:118:y:2018:i:c:p:527-544
    DOI: 10.1016/j.tra.2018.08.042
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    1. Matous, Petr, 2017. "Complementarity and substitution between physical and virtual travel for instrumental information sharing in remote rural regions: A social network approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 61-79.
    2. Emmanouil Tranos & Aura Reggiani & Peter Nijkamp, 2013. "Accessibility of Cities in the Digital Economy," Tinbergen Institute Discussion Papers 13-160/VIII, Tinbergen Institute.
    3. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2015. "Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 92-112.
    4. Yu Ding & Huapu Lu, 2017. "The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary," Transportation, Springer, vol. 44(2), pages 311-324, March.
    5. Frank Primerano & Michael Taylor & Ladda Pitaksringkarn & Peter Tisato, 2008. "Defining and understanding trip chaining behaviour," Transportation, Springer, vol. 35(1), pages 55-72, January.
    6. Edward Vytlacil & James J. Heckman, 2001. "Policy-Relevant Treatment Effects," American Economic Review, American Economic Association, vol. 91(2), pages 107-111, May.
    7. Matthias Benz & Bruno S. Frey, 2008. "Being Independent is a Great Thing: Subjective Evaluations of Self‐Employment and Hierarchy," Economica, London School of Economics and Political Science, vol. 75(298), pages 362-383, May.
    8. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    9. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    10. Palvinder Singh & Rajesh Paleti & Syndney Jenkins & Chandra Bhat, 2013. "On modeling telecommuting behavior: option, choice, and frequency," Transportation, Springer, vol. 40(2), pages 373-396, February.
    11. Lee, Richard J. & Sener, Ipek N. & Mokhtarian, Patricia L. & Handy, Susan L., 2017. "Relationships between the online and in-store shopping frequency of Davis, California residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 40-52.
    12. Wee, Bert van & Geurs, Karst & Chorus, Caspar, 2013. "Information, communication, travel behavior and accessibility," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 1-16.
    13. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    14. Donggen Wang & Fion Law, 2007. "Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis," Transportation, Springer, vol. 34(4), pages 513-527, July.
    15. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.
    16. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, vol. 66(1), pages 33-39, January.
    17. Luis Miranda-Moreno & Naveen Eluru & Martin Lee-Gosselin & Tyler Kreider, 2012. "Impact of ICT access on personal activity space and greenhouse gas production: evidence from Quebec City, Canada," Transportation, Springer, vol. 39(5), pages 895-918, September.
    18. Ren, Fang & Kwan, Mei-Po, 2009. "The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models," Journal of Transport Geography, Elsevier, vol. 17(6), pages 440-450.
    19. Chris Dawson & Andrew Henley & Paul Latreille, 2014. "Individual Motives for Choosing Self-employment in the UK: Does Region Matter?," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 804-822, May.
    20. Helen Couclelis, 2000. "From Sustainable Transportation to Sustainable Accessibility: Can We Avoid a New Tragedy of the Commons?," Advances in Spatial Science, in: Donald G. Janelle & David C. Hodge (ed.), Information, Place, and Cyberspace, chapter 20, pages 341-356, Springer.
    21. Kenyon, Susan & Lyons, Glenn, 2007. "Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 161-175, February.
    22. Benjamin Motte-Baumvol & Olivier Bonin & Leslie Belton-Chevallier, 2017. "Who escort children: mum or dad? Exploring gender differences in escorting mobility among parisian dual-earner couples," Transportation, Springer, vol. 44(1), pages 139-157, January.
    23. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    24. Zhou, Yiwei & Wang, Xiaokun (Cara), 2014. "Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 1-9.
    25. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
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    4. Xu, Lu & Saphores, Jean-Daniel, 2024. "Does e-shopping impact household travel? Evidence from the 2017 U.S. NHTS," Journal of Transport Geography, Elsevier, vol. 115(C).
    5. Chiara Calastri & Jacek Pawlak & Richard Batley, 2022. "Participation in online activities while travelling: an application of the MDCEV model in the context of rail travel," Transportation, Springer, vol. 49(1), pages 61-87, February.
    6. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    7. Cavallaro, Federico & Dianin, Alberto, 2022. "Combining transport and digital accessibilities in the evaluation of regional work opportunities," Journal of Transport Geography, Elsevier, vol. 98(C).
    8. Wang, Kaili & Hossain, Sanjana & Nurul Habib, Khandker, 2022. "What happens when post-secondary programmes go virtual for COVID-19? Effects of forced telecommuting on travel demand of post-secondary students during the pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 62-85.
    9. Luz, Gregorio & Barboza, Matheus Henrique Cunha & da Silva Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil," SocArXiv 2p896, Center for Open Science.
    10. Alexandre Monte Campelo & Larry Katz, 2020. "Older Adults’ Perceptions of the Usefulness of Technologies for Engaging in Physical Activity: Using Focus Groups to Explore Physical Literacy," IJERPH, MDPI, vol. 17(4), pages 1-14, February.

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