IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i9p12164-12189d55208.html
   My bibliography  Save this article

Assessing Sustainability of Mixed Use Neighbourhoods through Residents’ Travel Behaviour and Perception: The Case of Nagpur, India

Author

Listed:
  • Sarika Bahadure

    (Department of Architecture and Planning, Visvesvaraya National Institute of Technology (VNIT), Nagpur Pin-440010, India
    These authors contributed equally to this work.)

  • Rajashree Kotharkar

    (Department of Architecture and Planning, Visvesvaraya National Institute of Technology (VNIT), Nagpur Pin-440010, India
    These authors contributed equally to this work.)

Abstract

Mixed land-use development is the integration of different land-use functions like residential, commercial, recreational, and institutional in an urban sector or a neighbourhood. Integrating transport and land-use mix is one of the goals of planning policies around the world. Prior studies mention the benefits of mixed land-use development towards creating sustainable environment, but do not specify the proportion of the mix of compatible land uses. This study attempts to assess the sustainability of the neighbourhoods with mixed land-use in the context of the Nagpur city, India. Residents’ travel behaviour in twelve neighbourhoods is studied by means of indicators namely trip lengths, mode of travel, vehicle ownership, and travel expenses. To investigate the users’ insight, the study further examines residents’ perception with the help of parameters such as safety, satisfaction, pollution, and mix. The sustainability indices are computed for both residents’ travel behaviour and perception, for each neighbourhood. The study revealed that neighbourhoods with high and moderate land-use mix are sustainable with travel behaviour. Residents’ perception sustainability index indicates neighbourhoods with moderate land-use mix are more sustainable than those with high and low land-use mixed neighbourhoods. This study advocates stakeholders’ insight and the proportion of mix in land-use planning decisions.

Suggested Citation

  • Sarika Bahadure & Rajashree Kotharkar, 2015. "Assessing Sustainability of Mixed Use Neighbourhoods through Residents’ Travel Behaviour and Perception: The Case of Nagpur, India," Sustainability, MDPI, vol. 7(9), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:12164-12189:d:55208
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/9/12164/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/9/12164/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Cervero, Robert, 1988. "Land-Use Mixing and Suburban Mobility," University of California Transportation Center, Working Papers qt9w56k7x8, University of California Transportation Center.
    3. David E. Boyce & Huw C.W.L. Williams, 2015. "Forecasting Urban Travel," Books, Edward Elgar Publishing, number 13829.
    4. Xinyu Cao & Susan Handy & Patricia Mokhtarian, 2006. "The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX," Transportation, Springer, vol. 33(1), pages 1-20, January.
    5. Robert E. Lucas & Esteban Rossi-Hansberg, 2002. "On the Internal Structure of Cities," Econometrica, Econometric Society, vol. 70(4), pages 1445-1476, July.
    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. Yenisetty, Pavan Teja & Bahadure, Pankaj, 2021. "Assessing accessibility to ASFs from bus stops using distance measures: Case of two Indian cities," Land Use Policy, Elsevier, vol. 108(C).
    2. Rebaz Khoshnaw, 2023. "Evaluating Mixed Land Use and Connectivity: A Case Study of Five Neighborhoods in Erbil City, Iraq," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    3. Yuxin Liu & Chenjing Fan & Dongdong Xue, 2024. "A Review of the Effects of Urban and Green Space Forms on the Carbon Budget Using a Landscape Sustainability Framework," Sustainability, MDPI, vol. 16(5), pages 1-29, February.
    4. Kamble, Tanushri & Bahadure, Sarika, 2021. "Investigating application of compact urban form in central Indian cities," Land Use Policy, Elsevier, vol. 109(C).
    5. Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
    6. Byunghak Min & Gunwon Lee & Seiyong Kim, 2021. "Effects of Land-Use Characteristics on Transport Mode Choices by Purpose of Travel in Seoul, South Korea, Based on Spatial Regression Analysis," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    7. Long Zhou & Guoqiang Shen & Yao Wu & Robert Brown & Tian Chen & Chenyu Wang, 2018. "Urban Form, Growth, and Accessibility in Space and Time: Anatomy of Land Use at the Parcel-Level in a Small to Medium-Sized American City," Sustainability, MDPI, vol. 10(12), pages 1-24, December.

    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. 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.
    2. 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.
    3. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    4. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    5. Enayat Mirzaei & Dominique Mignot, 2021. "An Empirical Analysis of Mode Choice Decision for Utilitarian and Hedonic Trips: Evidence from Iran," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    6. Steven R Gehrke & Kelly J Clifton, 2019. "An activity-related land use mix construct and its connection to pedestrian travel," Environment and Planning B, , vol. 46(1), pages 9-26, January.
    7. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.
    8. Bojing Liao & Yifan Xu & Xiang Li & Ji Li, 2022. "Association between Campus Walkability and Affective Walking Experience, and the Mediating Role of Walking Attitude," IJERPH, MDPI, vol. 19(21), pages 1-13, November.
    9. Wang, Donggen & Lin, Tao, 2013. "Built environments, social environments, and activity-travel behavior: a case study of Hong Kong," Journal of Transport Geography, Elsevier, vol. 31(C), pages 286-295.
    10. Humphreys, John & Ahern, Aoife, 2019. "Is travel based residential self-selection a significant influence in modal choice and household location decisions?," Transport Policy, Elsevier, vol. 75(C), pages 150-160.
    11. Yin, Chun & Cao, Jason & Sun, Bindong & Liu, Jiahang, 2023. "Exploring built environment correlates of walking for different purposes: Evidence for substitution," Journal of Transport Geography, Elsevier, vol. 106(C).
    12. Wang, Xize & Lindsey, Greg & Hankey, Steve & Hoff, Kris, 2014. "Estimating Mixed-Mode Urban Trail Traffic Using Negative Binomial Regression Models," SocArXiv evpfq, Center for Open Science.
    13. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    14. Zhou, Mingzhi & Zhou, Jiali & Zhou, Jiangping & Lei, Shuyu & Zhao, Zhan, 2023. "Introducing social contacts into the node-place model: A case study of Hong Kong," Journal of Transport Geography, Elsevier, vol. 107(C).
    15. Guihéry, Laurent & Jarass, Julia, 2022. "Mobility and transport policy in Germany and France: Time for change and... joint solutions?," Forschungsberichte der ARL: Aufsätze, in: Gustedt, Evelyn & Grabski-Kieron, Ulrike & Demazière, Christophe & Paris, Didier (ed.), Cities and metropolises in France and Germany, volume 20, pages 128-144, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    16. Jianxi Feng, 2016. "The Built Environment and Active Travel: Evidence from Nanjing, China," IJERPH, MDPI, vol. 13(3), pages 1-14, March.
    17. Jinhyun Hong & Cynthia Chen, 2014. "The role of the built environment on perceived safety from crime and walking: examining direct and indirect impacts," Transportation, Springer, vol. 41(6), pages 1171-1185, November.
    18. Tae-Hyoung Tommy Gim, 2023. "Residential self-selection or socio-ecological interaction? the effects of sociodemographic and attitudinal characteristics on the built environment–travel behavior relationship," Transportation, Springer, vol. 50(4), pages 1347-1398, August.
    19. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    20. Liang Ma & Corinne Mulley & Wen Liu, 2017. "Social marketing and the built environment: What matters for travel behaviour change?," Transportation, Springer, vol. 44(5), pages 1147-1167, September.

    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:gam:jsusta:v:7:y:2015:i:9:p:12164-12189:d:55208. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.