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A structural equation model based analysis of non-workers’ activity-travel behaviour from a city of a developing country

Author

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  • M. Manoj

    (Indian Institute of Science (IISc))

  • Ashish Verma

    (Indian Institute of Science (IISc))

Abstract

This paper presents an empirical analysis of non-workers’ activity-travel behaviour from Bangalore city, India. The paper builds a causal model—to describe the relationships among socio-demographics, activity-participation, and travel behaviour of non-workers—following structural equation modelling methodology. The results indicate that in-home maintenance activity-duration drives the time allocation decisions of non-workers. The model also shows the presence of ‘time-budget’ effects i.e., excess travel time cuts into in-hhome discretionary activity duration, implying the trade-off between daily travel time and in-home discretionary activity duration. The out-of-home activity durations of non-workers are found to be insensitive to travel time—an important finding of this research. The model also suggests that mixed residential development reduce travel distance and indirectly contribute to more trips. An indirect effect of mixed residential development on daily travel distance offsets the direct effect, which leads to a limited total effect of this variable on travel distance. The basic model was expanded further by separating the time spent on others’ activity (children and elders) from in-home maintenance activity duration. The stable model reveals that the time spent on others’ activity also influences in-home and out-of-home activities, and travel behaviour. This indicates that the time spent on others’ activity is an important time allocation of its own.

Suggested Citation

  • M. Manoj & Ashish Verma, 2017. "A structural equation model based analysis of non-workers’ activity-travel behaviour from a city of a developing country," Transportation, Springer, vol. 44(2), pages 241-269, March.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:2:d:10.1007_s11116-015-9636-8
    DOI: 10.1007/s11116-015-9636-8
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    References listed on IDEAS

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    1. G S Sastry, 2008. "Emerging Development Issues of Greater Bangalore," Working Papers 194, Institute for Social and Economic Change, Bangalore.
    2. David Levinson & Seshasai Kanchi, 2002. "Road Capacity and the Allocation of Time," Working Papers 200203, University of Minnesota: Nexus Research Group.
    3. Golob, Thomas F. & Bradley, Mark A. & Polak, John W., 1995. "Travel and Activity Participation as Influenced by Car Availability and Use," University of California Transportation Center, Working Papers qt9jt3t8v1, University of California Transportation Center.
    4. Amlan Banerjee & Xin Ye & Ram Pendyala, 2007. "Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier," Transportation, Springer, vol. 34(1), pages 51-65, January.
    5. P. Bentler & Edward Freeman, 1983. "Tests for stability in linear structural equation systems," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 143-145, March.
    6. Azari, Kian Ahmadi & Arintono, Sulistyo & Hamid, Hussain & Davoodi, Seyed Rasoul, 2013. "Evaluation of demand for different trip purposes under various congestion pricing scenarios," Journal of Transport Geography, Elsevier, vol. 29(C), pages 43-51.
    7. Choo, Sangho & Mokhtarian, Patricia L., 2007. "Telecommunications and travel demand and supply: Aggregate structural equation models for the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 4-18, January.
    8. B. Sudhakara Reddy & P. Balachandra, 2010. "Dynamics of urban mobility: A Comparative analysis of megacities of India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2010-023, Indira Gandhi Institute of Development Research, Mumbai, India.
    9. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
    10. Singh, Sanjay Kumar, 0. "The diffusion of mobile phones in India," Telecommunications Policy, Elsevier, vol. 32(9-10), pages 642-651, October.
    11. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    12. Gould, Jane & Golob, Thomas F., 1997. "Shopping Without Travel or Travel Without Shopping? An Investigation of Electronic Home Shopping," University of California Transportation Center, Working Papers qt6vc504h9, University of California Transportation Center.
    13. Kees Maat & Harry J.P. Timmermans, 2009. "A causal model relating urban form with daily travel distance through activity/travel decisions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(2), pages 115-134, March.
    14. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    15. Pinjari, Abdul Rawoof & Bhat, Chandra, 2010. "A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 562-583, May.
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    Cited by:

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    2. Jahun Koo & Jiyoon Kim & Sungtaek Choi & Sangho Choo, 2022. "Identifying the Causal Relationship between Travel and Activity Times: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    3. Maximiliano Lizana & Juan-Antonio Carrasco & Alejandro Tudela, 2020. "Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities," Transportation, Springer, vol. 47(4), pages 1765-1786, August.
    4. Doddamani, Chetan & Manoj, M., 2022. "Residential relocation and changes in household vehicle ownership and travel behavior: Exploring the context of Hubli-Dharwad twin-cities in India from a planning viewpoint," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 134-155.

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