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Ex-Post Implications Of Ex-Ante Data Acquisition Strategies In Multiagent-Type Urban Freight Policy Evaluation


  • Valerio Gatta

    (University of Roma Tre and CREI)

  • Edoardo Marcucci

    (University of Roma Tre and CREI)


Data quality plays a relevant role in policy evaluation. Data quality is also strictly linked to questionnaire development and administration strategies. Willingness to pay estimates might be influenced by the data acquisition method adopted if an ex-post sophisticated modelling cannot compensate for the low quality data acquired. We test this hypothesis by comparing agent-generic vs. agent-specific data acquisition. This methodologically relevant question is investigated with respect to urban freight transport policy evaluation. In this field, in fact, heterogeneity among stakeholders' (i.e. retailers and transport providers) preferences is allegedly important since retailers, demanding freight transportation services, and transport providers, offering them, are characterised by, structurally and functionally motivated, differences in preferences. Results indicate that agent-specific data acquisition should be adopted. The analyst ought to take the longer data acquisition route when a strong and well rooted a priori knowledge suggests different agent-types' preferences are at work. This reflections are particularly valuable given ex-post agent-specific modelling cannot compensate for ex-ante agent-generic data acquisition procedure. Once perpetrated, the original sin cannot be redeemed.

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  • Valerio Gatta & Edoardo Marcucci, 2013. "Ex-Post Implications Of Ex-Ante Data Acquisition Strategies In Multiagent-Type Urban Freight Policy Evaluation," Working Papers 0613, CREI Universit√† degli Studi Roma Tre, revised 2013.
  • Handle: RePEc:rcr:wpaper:06_13

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    References listed on IDEAS

    1. Simona Bolis & Rico Maggi, 2003. "Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment," Growth and Change, Wiley Blackwell, vol. 34(4), pages 490-504.
    2. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    3. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
    4. Julian Allen & Michael Browne & Tom Cherrett, 2012. "Survey Techniques in Urban Freight Transport Studies," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 287-311, February.
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    Urban freight transport; policy evaluation; experimental design; data acquisition; willingness to pay; agent-specific.;

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