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Design and development of a stated choice experiment for interdependent agents: accounting for interactions between buyers and sellers of urban freight services

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  • Sean Puckett
  • David Hensher
  • John Rose
  • Andrew Collins

Abstract

Stated choice experiments have proven to be a powerful tool in eliciting preferences across a broad range of choice settings. This paper outlines the elements of a group-based experiment designed for interdependent urban freight stakeholders, along with the procedure to administer the questionnaire sequentially. The focus is on the design of a computer-assisted personal survey instrument and the value in disseminating the details of a new approach to design and collect stated choice data for interacting agents. The paper also discusses how to specify a reference alternative, and then how to recruit appropriate real-market or representative decision-making group members to participate in a subsequent phase of the survey, which incorporates the reference alternative and contextual information from an initial phase. The empirical strategy, set out in some detail, provides a new framework within which to understand more fully the role that specific attributes, such as variable user charges, influencing freight distribution chains might play, and who in the supply chain is affected by specific attributes in terms of willingness to pay for the gains in distribution efficiency. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Sean Puckett & David Hensher & John Rose & Andrew Collins, 2007. "Design and development of a stated choice experiment for interdependent agents: accounting for interactions between buyers and sellers of urban freight services," Transportation, Springer, vol. 34(4), pages 429-451, July.
  • Handle: RePEc:kap:transp:v:34:y:2007:i:4:p:429-451
    DOI: 10.1007/s11116-007-9114-z
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    5. Yan, Qianqian & Feng, Tao & Timmermans, Harry, 2023. "A model of household shared parking decisions incorporating equity-seeking household dynamics and leadership personality traits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    6. Shams, Kollol & Asgari, Hamidreza & Jin, Xia, 2017. "Valuation of travel time reliability in freight transportation: A review and meta-analysis of stated preference studies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 228-243.
    7. Hensher, David A. & Puckett, Sean M. & Rose, John M., 2007. "Agency decision making in freight distribution chains: Establishing a parsimonious empirical framework from alternative behavioural structures," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 924-949, November.
    8. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    9. Jiang, Ying & Zhang, Junyi, 2019. "Interaction between company Manager's and Driver's decisions on expressway routes for truck transport," Transport Policy, Elsevier, vol. 76(C), pages 1-12.
    10. Priscila Pereira Suzart Carvalho & Ricardo Araújo Kalid & Jorge Laureano Moya Rodríguez & Sandro Breval Santiago, 2019. "Interactions among stakeholders in the processes of city logistics: a systematic review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 567-607, August.
    11. Watcharasukarn, Montira & Page, Shannon & Krumdieck, Susan, 2012. "Virtual reality simulation game approach to investigate transport adaptive capacity for peak oil planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 348-367.
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    13. Nilesh Anand & Ron van Duin & Lori Tavasszy, 2014. "Ontology-based multi-agent system for urban freight transportation," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 133-153, July.
    14. Hensher, David A. & Teye, Collins, 2019. "Commodity interaction in freight movement models for New South Wales," Journal of Transport Geography, Elsevier, vol. 80(C).

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