Browsing by Author "Rose, John M."

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    Estimating the Value of Risk Reduction for Pedestrians in the Road Environment: An Exploratory Analysis
    (ELSEVIER SCI LTD, 2011) Hensher, David A.; Rose, John M.; de Dios Ortuzar, Juan; Rizzi, Luis I.
    In recent years there has been a re-focus on the valuation of a statistical life from the ex post or human capital method to an ex ante willingness to pay (WTP) approach. This is in part a recognition that we need to focus on establishing the amount, ex ante, that individuals are willing to pay to reduce the risk of exposure to circumstances that might lead to death or degree of injury in the road environment. This study sets out a framework in which to identify the degree of preference heterogeneity in WTP of pedestrians to avoid being killed or injured. A stated choice experiment approach is developed. The empirical setting is a choice of walking route for a particular trip that a sample of pedestrians periodically undertakes in Australia. Mixed logit models are estimated to obtain the marginal (dis)utilities associated with each influence on the choice amongst the attribute packages offered in the stated choice scenarios. These conditional estimates are used to obtain the WTP distributions for fatality and classes of injury avoidance, which are then aggregated to obtain estimates for pedestrians of the value of risk reduction (VRR).
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    Estimating the willingness to pay and value of risk reduction for car occupants in the road environment
    (PERGAMON-ELSEVIER SCIENCE LTD, 2009) Hensher, David A.; Rose, John M.; de Dios Ortuzar, Juan; Rizzi, Luis I.
    In recent years there has been a re-focus on the valuation of a statistical life from the ex post or human capital method to an ex ante willingness to pay (WTP) approach. This is in part a recognition that we may have been undervaluing the cost of fatalities and injuries to society associated with crashes, but also a strong belief in the need to focus on establishing the amount, ex ante, that individuals are willing to pay to reduce the risk of exposure to circumstances that might lead to death or degree of injury on the road network. This study has developed a framework in which to identify the degree of preference heterogeneity in willingness to pay by individuals who are drivers or passengers in cars to avoid being killed or injured. A stated choice experiment approach is developed. The empirical setting is a choice of route for a particular trip that a sample of individuals periodically undertakes in Australia. The particular trip is described in enough detail to provide the respondent with a familiar market environment, providing all the relevant background information required for making a decision. Mixed logit models are estimated to obtain the marginal (dis)utilities associated with each influence on the choice amongst the attribute packages offered in the stated choice scenarios. These estimates are used to obtain the WTP distributions for fatality and injury avoidance, which are then aggregated to obtain estimates of the value of risk reduction (VRR), of which the fatality class is also known as the value of a statistical life (VSL). (C) 2009 Elsevier Ltd. All rights reserved.
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    Identifying differences in willingness to pay due to dimensionality in stated choice experiments: a cross country analysis
    (ELSEVIER SCI LTD, 2009) Rose, John M.; Hensher, David A.; Caussade, Sebastian; Ortuzar, Juan de Dios; Jou, Rong Chang
    This paper explores the influence of both cultural and socio-economic characteristics on the perception of complexity and cognitive load associated with stated choice (SC) experiments. Complexity is analysed in terms of five design dimensions which were systematically varied according to a macro experimental design. To study the influence of cross country differences on willingness to pay estimates, we combined datasets collected in Sydney, Santiago de Chile and Taichung city in Taiwan, all of them related to an equivalent route choice experiment. Several mixed logit models were specified and estimated; our results show that design dimensions do have an impact on the behavioural outputs of discrete choice models estimated on SC data. However, these influences seem to be data-specific, suggesting that the impact of design dimensions upon SC Outcomes may be local and not necessarily transferable across different Countries and cultures. (C) 2008 Elsevier Ltd. All rights reserved.
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    On de-bunking \'Fake News\' in a post truth era: Special editorial
    (2019) Ortuzar Salas, Juan De Dios; Cherchi, Elisabetta; Rose, John M.