Policy-making about urban freight transport (UFT) is complex, since it implies dealing with heterogeneous stakeholders with different objectives. The often unforeseen and undesired results deriving from UFT policy implementation have induced many researchers to call for an in-depth analysis of specific stakeholders’ preferences. However, the structural lack of appropriate data has hindered investigations at such a detailed level. This paper explores the acquisition of stated preference data and calculation of willingness to pay (WTP) measures for a rigorous ex-ante policy analysis. Discrete choice models are estimated taking into account both non-linear attribute effects and within stakeholder type heterogeneity. Results show that different WTP measures apply for given policy changes, and suggest policy makers should contemplate differentiated reactions to the implementation of an urban freight policy change.
Willingness to Pay Measures to Tailor Policies and Foster Stakeholder Acceptability in Urban Freight Transport
Luisa Scaccia;
2018-01-01
Abstract
Policy-making about urban freight transport (UFT) is complex, since it implies dealing with heterogeneous stakeholders with different objectives. The often unforeseen and undesired results deriving from UFT policy implementation have induced many researchers to call for an in-depth analysis of specific stakeholders’ preferences. However, the structural lack of appropriate data has hindered investigations at such a detailed level. This paper explores the acquisition of stated preference data and calculation of willingness to pay (WTP) measures for a rigorous ex-ante policy analysis. Discrete choice models are estimated taking into account both non-linear attribute effects and within stakeholder type heterogeneity. Results show that different WTP measures apply for given policy changes, and suggest policy makers should contemplate differentiated reactions to the implementation of an urban freight policy change.File | Dimensione | Formato | |
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Gatta_UrbanFreightTransport_2018.pdf
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