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A stated preference model to value reductions in community severance caused by roads

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  • Anciaes, Paulo Rui
  • Jones, Peter
  • Metcalfe, Paul James

Abstract

This paper uses a stated preference survey to estimate the value of reductions in community severance (the “barrier effect” of transport infrastructure on pedestrians). The survey was conducted in four urban areas in England. Participants were asked whether they would cross a road without designated crossing facilities in order to access a cheaper shop or a bus stop on the other side of the road, instead of a more expensive one on their side of the road. This method provides information for the inclusion of severance effects in the appraisal of interventions to change road design and to control motorised traffic. The estimated value per walking trip of reducing the number of vehicle lanes from 3 to 2 and from 2 to 1 is £1.28 and £1.00 respectively. The value of adding a central reservation (median strip) is £1.08. The value of reducing traffic levels from medium to low and from high to medium is £0.76 and £1.08 respectively The value of reducing speed limits below 30mph is £0.45. These values depend on age, gender, disability, health condition, mobility restrictions, qualifications, location, and walking behaviour.

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  • Anciaes, Paulo Rui & Jones, Peter & Metcalfe, Paul James, 2018. "A stated preference model to value reductions in community severance caused by roads," Transport Policy, Elsevier, vol. 64(C), pages 10-19.
    • Handle: RePEc:eee:trapol:v:64:y:2018:i:c:p:10-19
    DOI: 10.1016/j.tranpol.2018.01.007
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    References listed on IDEAS

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    Cited by:

    1. Bárbara Matos & Carlos Lobo, 2023. "The Barrier Effect and Pedestrian Mobility/Accessibility on Urban Highways: An Analysis Based on the Belo Horizonte/Minas Gerais/Brazil Ring Road," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    2. Arellana, J. & Garzón, L. & Estrada, J. & Cantillo, V., 2020. "On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour," Journal of choice modelling, Elsevier, vol. 37(C).
    3. Obi Thompson Sargoni & Ed Manley, 2023. "Neighbourhood-level pedestrian navigation using the construal level theory," Environment and Planning B, , vol. 50(8), pages 2151-2170, October.
    4. Anciaes, Paulo & Jones, Peter, 2020. "Transport policy for liveability – Valuing the impacts on movement, place, and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 157-173.
    5. Zhu, Dianchen & Sze, N.N. & Feng, Zhongxiang & Chan, Ho-Yin, 2023. "Waiting for signalized crossing or walking to footbridge/underpass? Examining the effect of weather using stated choice experiment with panel mixed random regret minimization approach," Transport Policy, Elsevier, vol. 138(C), pages 144-169.
    6. Subhan, Fazle & Ali, Yasir & Zhao, Shengchuan & Oviedo-Trespalacios, Oscar, 2023. "Understanding and modeling willingness-to-pay for public policies to enhance road safety: A perspective from Pakistan," Transport Policy, Elsevier, vol. 141(C), pages 182-196.
    7. Anciaes, Paulo & Jones, Peter & Mindell, Jennifer S. & Scholes, Shaun, 2022. "The cost of the wider impacts of road traffic on local communities: 1.6% of Great Britain's GDP," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 266-287.
    8. Savvas Emmanouilidis & Socrates Basbas & Alexandros Sdoukopoulos & Ioannis Politis, 2022. "Settlements along Main Road Axes: Blessing or Curse? Evaluating the Barrier Effect in a Small Greek Settlement," Land, MDPI, vol. 11(12), pages 1-20, December.
    9. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    10. Anciaes, Paulo & Jones, Peter, 2020. "A comprehensive approach for the appraisal of the barrier effect of roads on pedestrians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 227-250.

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