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Revisiting the relationship between information and communication technologies and travel behavior: An investigation of older Americans

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  • Li, Shengxiao (Alex)

Abstract

In the digital era, information and communication technologies (ICTs) have provided inexpensive ways for older people to access daily activities; however, the relationship between ICTs and travel among older people has been insufficiently studied. Drawing on an online survey of 2,510 older Americans, this study used a series of structural equation models to examine the relationship between ICTs and travel among older people. The results show that ICT usage and daily travel for shopping, social and recreational, and healthcare purposes among older Americans are positively related. Of all the predictors, the difficulty of using the Internet is one of the most critical for lower ICT usage for all purposes, all else being equal. The study also provides user profiles for different ICT applications. For example, older people who were still relatively young used social media more. E-health applications were more widely used by people of color. The study also demonstrates racial disparities in e-shopping: African Americans tended to use e-shopping applications less frequently, and also generated fewer in-store shopping trips compared to non-Hispanic Whites. The study implies that there is significant potential in using ICTs to reduce travel difficulties for disadvantaged older people, and it is important to improve older people’s technology literacy.

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  • Li, Shengxiao (Alex), 2023. "Revisiting the relationship between information and communication technologies and travel behavior: An investigation of older Americans," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:transa:v:172:y:2023:i:c:s096585642300109x
    DOI: 10.1016/j.tra.2023.103689
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    as
    1. Hiroshi Ono & Madeline Zavodny, 2003. "Race, internet usage, and e-commerce," The Review of Black Political Economy, Springer;National Economic Association, vol. 30(3), pages 7-22, December.
    2. Xinxin Ma, 2022. "Public Medical Insurance Reforms in China," Springer Books, Springer, number 978-981-16-7790-8, December.
    3. 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.
    4. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
    5. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    6. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    7. Xinxin Ma, 2022. "Medical Insurance Reform in Urban China," Springer Books, in: Public Medical Insurance Reforms in China, chapter 0, pages 35-60, Springer.
    8. Henderson, Dennis & Mohktarian, Patricia, 1996. "Impacts of Center-Based Telecommuting on Travel and Emissions: Analysis of the Puget Sound Demonstration Project," Institute of Transportation Studies, Working Paper Series qt3tt6d46w, Institute of Transportation Studies, UC Davis.
    9. Mokhtarian, Patricia L & Koenig, Brett E & Henderson, Dennis K, 1995. "The Travel and Emissions Impacts of Telecommuting for the State of California Telecommuting Pilot Project," University of California Transportation Center, Working Papers qt6rw695kc, University of California Transportation Center.
    10. Wu, Guoqiang & Hong, Jinhyun & Thakuriah, Piyushimita, 2019. "Assessing the relationships between young adults’ travel and use of the internet over time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 8-19.
    11. Xinxin Ma, 2022. "Medical Insurance Reform in Rural China," Springer Books, in: Public Medical Insurance Reforms in China, chapter 0, pages 11-33, Springer.
    12. 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.
    13. Xiaodong Guan & Donggen Wang & Xinyu Jason Cao, 2020. "The role of residential self-selection in land use-travel research: a review of recent findings," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 267-287, May.
    14. Riad Alharbey & Jong In Kim & Ali Daud & Min Song & Abdulrahman A. Alshdadi & Malik Khizar Hayat, 2022. "Indexing important drugs from medical literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2661-2681, May.
    15. Nicole Zillien & Eszter Hargittai, 2009. "Digital Distinction: Status‐Specific Types of Internet Usage," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 274-291, June.
    16. Jens Kandt & Philipp Rode & Christian Hoffmann & Andreas Graff & Duncan Smith, 2015. "Gauging interventions for sustainable travel: a comparative study of travel attitudes in Berlin and London," LSE Research Online Documents on Economics 63872, London School of Economics and Political Science, LSE Library.
    17. 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.
    18. Xinxin Ma, 2022. "Issues of Public Medical Insurance Reform in China," Springer Books, in: Public Medical Insurance Reforms in China, chapter 0, pages 61-84, Springer.
    19. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    20. Xi, Guangliang & Cao, Xinyu & Zhen, Feng, 2020. "The impacts of same day delivery online shopping on local store shopping in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 35-47.
    21. Calderwood, Eric & Freathy, Paul, 2014. "Consumer mobility in the Scottish isles: The impact of internet adoption upon retail travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 192-203.
    22. Dick Ettema, 2018. "Apps, activities and travel: an conceptual exploration based on activity theory," Transportation, Springer, vol. 45(2), pages 273-290, March.
    23. Leyla Dogruel & Sven Joeckel & Nicholas D. Bowman, 2015. "The use and acceptance of new media entertainment technology by elderly users: development of an expanded technology acceptance model," Behaviour and Information Technology, Taylor & Francis Journals, vol. 34(11), pages 1052-1063, November.
    24. Kandt, Jens & Rode, Philipp & Hoffmann, Christian & Graff, Andreas & Smith, Duncan, 2015. "Gauging interventions for sustainable travel: A comparative study of travel attitudes in Berlin and London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 35-48.
    25. Ozbilen, Basar & Wang, Kailai & Akar, Gulsah, 2021. "Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 49-62.
    26. Weltevreden, Jesse W.J. & Rotem-Mindali, Orit, 2009. "Mobility effects of b2c and c2c e-commerce in the Netherlands: a quantitative assessment," Journal of Transport Geography, Elsevier, vol. 17(2), pages 83-92.
    27. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    28. Michela Antonelli & Annika Reinke & Spyridon Bakas & Keyvan Farahani & Annette Kopp-Schneider & Bennett A. Landman & Geert Litjens & Bjoern Menze & Olaf Ronneberger & Ronald M. Summers & Bram Ginneken, 2022. "The Medical Segmentation Decathlon," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    29. Xinxin Ma, 2022. "Medical Insurances and Financial Portfolio Choice," Springer Books, in: Public Medical Insurance Reforms in China, chapter 0, pages 193-215, Springer.
    30. 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.
    31. 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.
    32. Cao, Xinyu (Jason), 2012. "The relationships between e-shopping and store shopping in the shopping process of search goods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 993-1002.
    33. 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.
    34. E. Owen D. Waygood & Lars E. Olsson & Ayako Taniguchi & Margareta Friman, 2020. "The role of children’s independent mobility and social media use for face-to-face social interaction with friends," Transportation, Springer, vol. 47(4), pages 1987-2009, August.
    35. Shi, Kunbo & De Vos, Jonas & Yang, Yongchun & Witlox, Frank, 2019. "Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 21-33.
    36. Patricia Mokhtarian & Ilan Salomon & Susan Handy, 2006. "The Impacts of Ict on leisure Activities and Travel: A Conceptual Exploration," Transportation, Springer, vol. 33(3), pages 263-289, May.
    37. Nordbakke, Susanne, 2013. "Capabilities for mobility among urban older women: barriers, strategies and options," Journal of Transport Geography, Elsevier, vol. 26(C), pages 166-174.
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