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Predictors of firm community interaction

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  • Lowe, Christopher

Abstract

This paper discusses eight ways in which bus operators interact with the communities in which they provide a bus-service. An exploration of factors hypothesised to be associated with an operator's community interaction (the predictors) is detailed, then tested, using bivariate and multivariate analysis methods. The results reveal some of the hypothesised factors to be actual predictors, although a full-scale explanation for an operator's community interaction is not possible. This paper suggests that bonding social capital and bridging social capital possibly accounts for a large portion of the unidentified factors at work that explain a bus operator's community interactions. The results of this study should encourage policymakers and legislators to ensure that the bus operator governance model that interacts with its community the most is sustained in order to contribute towards community prosperity.

Suggested Citation

  • Lowe, Christopher, 2016. "Predictors of firm community interaction," Research in Transportation Economics, Elsevier, vol. 59(C), pages 401-411.
    • Handle: RePEc:eee:retrec:v:59:y:2016:i:c:p:401-411
    DOI: 10.1016/j.retrec.2016.03.002
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