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An analysis of the impact of information and communication technologies on non-maintenance shopping activities

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  • Bhat, Chandra R.
  • Sivakumar, Aruna
  • Axhausen, Kay W.

Abstract

This paper examines the use and travel impacts of two forms of information and communication technologies (ICTs): mobile telephones and computers. The travel impacts are examined in the context of participation in out-of-home non-maintenance shopping activities over a multiweek period through the modeling of the duration between successive shopping activity participations. The empirical analysis uses a continuous six-week travel survey collected in the cities of Halle and Karlsruhe in Germany in the Fall of 1999. The results indicate that the effects of ICTs on activity-travel patterns are mediated by individual sociodemographic and locational factors, as well as by unobserved individual characteristics. The results also show that the substitution between mobile phone use and shopping travel is grossly underestimated if the effects of common unobserved factors affecting mobile phone use and shopping travel are not considered. In addition, there is quite substantial intra-individual variation in intershopping duration.

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  • Bhat, Chandra R. & Sivakumar, Aruna & Axhausen, Kay W., 2003. "An analysis of the impact of information and communication technologies on non-maintenance shopping activities," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 857-881, December.
  • Handle: RePEc:eee:transb:v:37:y:2003:i:10:p:857-881
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    2. Kong, Hui & Moody, Joanna & Zhao, Jinhua, 2020. "ICT’s impacts on ride-hailing use and individual travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 1-15.
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    6. 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.
    7. Liu, Chengxi & Wang, Qian & Susilo, Yusak O., 2019. "Assessing the impacts of collection-delivery points to individual’s activity-travel patterns: A greener last mile alternative?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 84-99.
    8. 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.
    9. Rotem-Mindali, Orit, 2010. "E-tail versus retail: The effects on shopping related travel empirical evidence from Israel," Transport Policy, Elsevier, vol. 17(5), pages 312-322, September.
    10. 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.
    11. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    12. Ipek N Sener & Phillip R Reeder, 2012. "An Examination of Behavioral Linkages across ICT Choice Dimensions: Copula Modeling of Telecommuting and Teleshopping Choice Behavior," Environment and Planning A, , vol. 44(6), pages 1459-1478, June.
    13. 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).
    14. Daniela Šálková & Aleš Hes & Petr Kučera, 2023. "Sustainable Consumer Behavior: The Driving Force of Innovation in Retail," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    15. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    16. Joh, Chang-Hyeon & Lee, Backjin & Bin, Miyoung & Arentze, Theo & Timmermans, Harry, 2011. "Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1245-1251.
    17. Wei Nai & Zan Yang & Dan Li & Lu Liu & Yuting Fu & Yuao Guo, 2024. "Urban Day-to-Day Travel and Its Development in an Information Environment: A Review," Sustainability, MDPI, vol. 16(6), pages 1-29, March.
    18. Stephan Brunow & Manuela Gründer, 2013. "The impact of activity chaining on the duration of daily activities," Transportation, Springer, vol. 40(5), pages 981-1001, September.
    19. Martin Dijst & Sendy Farag & Tim Schwanen, 2008. "A Comparative Study of Attitude Theory and other Theoretical Models for Understanding Travel Behaviour," Environment and Planning A, , vol. 40(4), pages 831-847, April.
    20. 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.
    21. Esra Suel & Nicolò Daina & John W. Polak, 2018. "A hazard-based approach to modelling the effects of online shopping on intershopping duration," Transportation, Springer, vol. 45(2), pages 415-428, March.

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