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The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models

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  • Ren, Fang
  • Kwan, Mei-Po

Abstract

The widespread use of the Internet for conducting various types of activities may be leading to considerable change in people’s activity–travel patterns. Past studies, however, have left many issues unaddressed. Using an Internet-activity diary dataset and multi-group structural equation modeling, this study examines the complex interactions between different types of Internet and physical activities, with a special focus on gender differences and Internet maintenance and leisure activities. The results indicate that the impacts of Internet activities on people’s activity–travel patterns are significantly different across gender. In general, Internet use for maintenance purposes has a greater impact on women’s activity–travel in the physical world, while Internet use for leisure purposes affects men’s physical activities and travel to a greater extent. Further, breaking Internet activities down into different categories reveals some hidden patterns that would not have been detected if these different types of Internet activities were lumped together as a single category.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jotrge:v:17:y:2009:i:6:p:440-450
    DOI: 10.1016/j.jtrangeo.2008.11.003
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    2. Chunjiang Li & Eva Thulin & Yanwei Chai, 2023. "Changes in Everyday Internet Use and Home Activity During and After Pandemic‐Related Lockdowns: A Case Study in Shuangjing Subdistrict, Beijing," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 114(2), pages 117-132, April.
    3. Qingyan Tong & Chi-Yang Chu & Dong Zhou & Yulei Feng, 2021. "Does Internet Connectedness Disconnect Marriage? A Micro Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 143-176, November.
    4. Chen, Jie & Shaw, Shih-Lung & Yu, Hongbo & Lu, Feng & Chai, Yanwei & Jia, Qinglei, 2011. "Exploratory data analysis of activity diary data: a space–time GIS approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 394-404.
    5. Bing Bai & Neena Gopalan & Nicholas Beutell & Fang Ren, 2021. "Impact of Absolute and Relative Commute Time on Work–Family Conflict: Work Schedule Control, Child Care Hours, and Life Satisfaction," Journal of Family and Economic Issues, Springer, vol. 42(4), pages 586-600, December.
    6. Ki-Han Song & Solsaem Choi, 2021. "A Study on the Perception Change of Passengers on Sustainable Air Transport Following COVID-19 Progress," Sustainability, MDPI, vol. 13(14), pages 1-13, July.
    7. Ettema, Dick & Zwartbol, Danielle, 2013. "The structure of joint leisure trips: analyzing two-person leisure trips of Dutch students," Journal of Transport Geography, Elsevier, vol. 31(C), pages 216-225.
    8. Rafiq, Rezwana & McNally, Michael G., 2020. "An empirical analysis and policy implications of work tours utilizing public transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 237-259.
    9. Chi, Guangqing & Porter, Jeremy R. & Cosby, Arthur G. & Levinson, David, 2013. "The impact of gasoline price changes on traffic safety: a time geography explanation," Journal of Transport Geography, Elsevier, vol. 28(C), pages 1-11.
    10. Shen, Yue & Chai, Yanwei & Kwan, Mei-Po, 2015. "Space–time fixity and flexibility of daily activities and the built environment: A case study of different types of communities in Beijing suburbs," Journal of Transport Geography, Elsevier, vol. 47(C), pages 90-99.
    11. 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.
    12. Han, Chenglin & Luo, Lichen & Parady, Giancarlos & Takami, Kiyoshi & Chikaraishi, Makoto & Harata, Noboru, 2023. "Modeling joint eating-out destination choices incorporating group-level impedance: A case study of the Greater Tokyo Area," Journal of Transport Geography, Elsevier, vol. 111(C).
    13. Xian, Shi & Qi, Zhixin & Yip, Ngai-ming, 2022. "Beyond home neighborhood: Mobility, activity and temporal variation of socio-spatial segregation," Journal of Transport Geography, Elsevier, vol. 99(C).

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