IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v49y2015icp99-109.html
   My bibliography  Save this article

Activity-travel behaviour of non-workers belonging to different income group households in Bangalore, India

Author

Listed:
  • Manoj, M.
  • Verma, Ashish

Abstract

Non-workers – homemakers, unemployed individuals and the retired – generally have more discretionary time than workers do, and hence, their travel behaviour and response to infrastructure improvements and travel demand management measures are different from that of workers. However, much remains unknown about activity-travel behaviour of non-workers in developing countries. Can we expect similarity between activity participation and travel behaviour of non-workers in different income group households in developing countries? How do the socio-demographic settings in India, for e.g., traditional gender roles and multi-member households, and land use context influence the activity-travel choices of non-workers in different income group households? The present study attempts to answer these questions by presenting a comparative analysis of activity-travel behaviour of non-workers in low-, medium-, and high-income households in Bangalore city, India. Using a primary activity-travel survey data, the study mainly compares the activity-travel behaviour of the three income-groups with respect to various activity-travel indicators. In addition, statistical models of daily out-of-home time allocation, trip chaining, and mode choice behaviour are estimated separately for the three groups to investigate the potential sensitivity of the groups to various factors influencing these behaviour indicators. The study findings suggest that the low-income group non-workers are more mobility-constrained than others, apparent from longer walk trip length and the lower dependency on other modes of transport. The low-income group appears to make more social stops than the other two groups, probably a reflection of social-connections due to the increased dependency on walking. However, the number of recreational and shopping stops made by this group appears to be significantly lower than the other two groups. Further, the influence of mixed residential development on low-income group individuals' maintenance and discretionary activity time allocation decision appears to be insignificant. Overall, the study suggests that future land use planning for Bangalore might ensure that all groups of individuals have equal access (in terms of travel time/distance) to basic facilities.

Suggested Citation

  • Manoj, M. & Verma, Ashish, 2015. "Activity-travel behaviour of non-workers belonging to different income group households in Bangalore, India," Journal of Transport Geography, Elsevier, vol. 49(C), pages 99-109.
  • Handle: RePEc:eee:jotrge:v:49:y:2015:i:c:p:99-109
    DOI: 10.1016/j.jtrangeo.2015.10.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692315001994
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2015.10.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. G S Sastry, 2008. "Emerging Development Issues of Greater Bangalore," Working Papers 194, Institute for Social and Economic Change, Bangalore.
    2. 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.
    3. Lu, Xuedong & Pas, Eric I., 1999. "Socio-demographics, activity participation and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(1), pages 1-18, January.
    4. Lucas, Karen, 2011. "Making the connections between transport disadvantage and the social exclusion of low income populations in the Tshwane Region of South Africa," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1320-1334.
    5. Julian Hine & Md. Kamruzzaman & Neale Blair, 2012. "Weekly activity-travel behaviour in rural Northern Ireland: differences by context and socio-demographic," Transportation, Springer, vol. 39(1), pages 175-195, January.
    6. Salon, Deborah & Aligula, Eric M., 2012. "Urban travel in Nairobi, Kenya: analysis, insights, and opportunities," Journal of Transport Geography, Elsevier, vol. 22(C), pages 65-76.
    7. Smith, Noel & Hirsch, Donald & Davis, Abigail, 2012. "Accessibility and capability: the minimum transport needs and costs of rural households," Journal of Transport Geography, Elsevier, vol. 21(C), pages 93-101.
    8. Motte-Baumvol, Benjamin & Nassi, Carlos D., 2012. "Immobility in Rio de Janeiro, beyond poverty," Journal of Transport Geography, Elsevier, vol. 24(C), pages 67-76.
    9. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pan, Yu & He, Sylvia Y., 2023. "An investigation into the impact of the built environment on the travel mobility gap using mobile phone data," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    3. Doddamani, Chetan & Manoj, M. & Maurya, Yashasvi, 2021. "Geographical scale of residential relocation and its impacts on vehicle ownership and travel behavior," Journal of Transport Geography, Elsevier, vol. 94(C).
    4. Punyabeet Sarangi & M. Manoj, 2022. "Analysis of activity participation and time use decisions of partners: the context of low-and high-income households," Transportation, Springer, vol. 49(3), pages 1017-1058, June.
    5. Villena-Sanchez, Jessica & Boschmann, E. Eric & Avila-Forcada, Sara, 2022. "Daily travel behaviors and transport mode choice of older adults in Mexico City," Journal of Transport Geography, Elsevier, vol. 104(C).
    6. 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.
    7. Honghao Ren & Henk Folmer & Arno J. Van der Vlist, 2018. "The Impact of Home Ownership on Life Satisfaction in Urban China: A Propensity Score Matching Analysis," Journal of Happiness Studies, Springer, vol. 19(2), pages 397-422, February.
    8. Xin Guan & Xin Ye & Cheng Shi & Yajie Zou, 2019. "A Multivariate Modeling Analysis of Commuters’ Non-Work Activity Allocations in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Manoj, M. & Verma, Ashish, 2015. "Activity–travel behaviour of non-workers from Bangalore City in India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 400-424.
    2. Zhao, Pengjun & Yu, Zhao, 2021. "Rural poverty and mobility in China: A national-level survey," Journal of Transport Geography, Elsevier, vol. 93(C).
    3. Bjerkan, Kristin Ystmark & Nordtømme, Marianne Elvsaas, 2014. "Car use in the leisure lives of adolescents. Does household structure matter?," Transport Policy, Elsevier, vol. 33(C), pages 1-7.
    4. van Dülmen, Christoph & Šimon, Martin & Klärner, Andreas, 2022. "Transport poverty meets car dependency: A GPS tracking study of socially disadvantaged groups in European rural peripheries," Journal of Transport Geography, Elsevier, vol. 101(C).
    5. Andreasen, Manja Hoppe & Møller-Jensen, Lasse, 2017. "Access to the city: Mobility patterns, transport and accessibility in peripheral settlements of Dar es Salaam," Journal of Transport Geography, Elsevier, vol. 62(C), pages 20-29.
    6. Punyabeet Sarangi & M. Manoj, 2022. "Analysis of activity participation and time use decisions of partners: the context of low-and high-income households," Transportation, Springer, vol. 49(3), pages 1017-1058, June.
    7. Foley, Louise & Brugulat-Panés, Anna & Woodcock, James & Govia, Ishtar & Hambleton, Ian & Turner-Moss, Eleanor & Mogo, Ebele R.I. & Awinja, Alice Charity & Dambisya, Philip M. & Matina, Sostina Spiwe , 2022. "Socioeconomic and gendered inequities in travel behaviour in Africa: Mixed-method systematic review and meta-ethnography," Social Science & Medicine, Elsevier, vol. 292(C).
    8. Ge Gao & Huijun Sun & Jianjun Wu, 2019. "Activity-based trip chaining behavior analysis in the network under the parking fee scheme," Transportation, Springer, vol. 46(3), pages 647-669, June.
    9. Anna Brugulat-Panés & Lee Randall & Thiago Hérick de Sá & Megha Anil & Haowen Kwan & Lambed Tatah & James Woodcock & Ian R. Hambleton & Ebele R. I. Mogo & Lisa Micklesfield & Caitlin Pley & Ishtar Gov, 2023. "The Potential for Healthy, Sustainable, and Equitable Transport Systems in Africa and the Caribbean: A Mixed-Methods Systematic Review and Meta-Study," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    10. Motte, Benjamin & Aguilera, Anne & Bonin, Olivier & Nassi, Carlos D., 2016. "Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 59-69.
    11. Zhao, Pengjun & Yu, Zhao, 2020. "Investigating mobility in rural areas of China: Features, equity, and factors," Transport Policy, Elsevier, vol. 94(C), pages 66-77.
    12. Campbell, Kayleigh B. & Rising, James A. & Klopp, Jacqueline M. & Mbilo, Jacinta Mwikali, 2019. "Accessibility across transport modes and residential developments in Nairobi," Journal of Transport Geography, Elsevier, vol. 74(C), pages 77-90.
    13. Sebastian Astroza & Venu M. Garikapati & Ram M. Pendyala & Chandra R. Bhat & Patricia L. Mokhtarian, 2019. "Representing heterogeneity in structural relationships among multiple choice variables using a latent segmentation approach," Transportation, Springer, vol. 46(5), pages 1755-1784, October.
    14. 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.
    15. Bartosz Bursa & Markus Mailer & Kay W. Axhausen, 2022. "Intra-destination travel behavior of alpine tourists: a literature review on choice determinants and the survey work," Transportation, Springer, vol. 49(5), pages 1465-1516, October.
    16. Lovejoy, Kristin, 2012. "Mobility Fulfillment Among Low-car Households: Implications for Reducing Auto Dependence in the United States," Institute of Transportation Studies, Working Paper Series qt4v44b5qn, Institute of Transportation Studies, UC Davis.
    17. Elias, Wafa & Katoshevski-Cavari, Rachel, 2014. "The role of socio-economic and environmental characteristics in school-commuting behavior: A comparative study of Jewish and Arab children in Israel," Transport Policy, Elsevier, vol. 32(C), pages 79-87.
    18. 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.
    19. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    20. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:49:y:2015:i:c:p:99-109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.