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Safety as a key performance indicator: Creating a safety culture for enhanced passenger safety, comfort, and accessibility

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  • Wretstrand, Anders
  • Holmberg, Bengt
  • Berntman, Monica

Abstract

Modal shift from private cars to high quality public transport is often seen as a means for improved traffic safety while simultaneously achieving other policy goals. This paper aims to describe safety from a travel-chain perspective and suggests an approach for using accident data as performance indicators. Findings from a recent Swedish case study of bus accidents show that the number of unreported injury cases was very large. Official statistics failed to provide full information and drivers frequently did not report accidents to the bus operators even though they might have resulted in moderate or severe injuries. Because injuries occur travelling to or from the bus stop, during boarding and alighting, and during the ride (braking/accelerating), passengers run the risk of being injured without the bus being involved in a vehicular collision. Non-collision injuries are indicators of poor accessibility, and even “near-injuries” might affect ridership, especially among older users. Thus, it appears that the pertinent organisational/corporate culture does not prioritize safety as a quality factor even though it is sometimes mentioned as a key performance indicator. We discuss means for improved safety culture for all stakeholders and reduce injuries, increase the use of buses, and increase travel quality and comfort.

Suggested Citation

  • Wretstrand, Anders & Holmberg, Bengt & Berntman, Monica, 2014. "Safety as a key performance indicator: Creating a safety culture for enhanced passenger safety, comfort, and accessibility," Research in Transportation Economics, Elsevier, vol. 48(C), pages 109-115.
  • Handle: RePEc:eee:retrec:v:48:y:2014:i:c:p:109-115
    DOI: 10.1016/j.retrec.2014.09.008
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    References listed on IDEAS

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    1. Stanley, John & van de Velde, Didier, 2008. "Risk and reward in public transport contracting," Research in Transportation Economics, Elsevier, vol. 22(1), pages 20-25, January.
    2. Gordon, Cameron & Mulley, Corinne & Stevens, Nick & Daniels, Rhonda, 2013. "Public–private contracting and incentives for public transport: Can anything be learned from the Sydney Metro experience?," Transport Policy, Elsevier, vol. 27(C), pages 73-84.
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    4. Nelson, John D. & Merkert, Rico, 2013. "Workshop 1: Performance measurement and compliance," Research in Transportation Economics, Elsevier, vol. 39(1), pages 46-49.
    5. Hensher, David A. & Stanley, John, 2003. "Performance-based quality contracts in bus service provision," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(6), pages 519-538, July.
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    Cited by:

    1. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    2. Sam, Enoch F. & Brijs, Kris & Daniels, Stijn & Brijs, Tom & Wets, Geert, 2020. "Testing the convergent- and predictive validity of a multi-dimensional belief-based scale for attitude towards personal safety on public bus/minibus for long-distance trips in Ghana: A SEM analysis," Transport Policy, Elsevier, vol. 85(C), pages 67-79.

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    More about this item

    Keywords

    Safety; Injuries; Bus; City; Operation; Performance; Culture;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

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