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Assessing visitor satisfaction with tourism rejuvenation policies: the case of Rimini, Italy

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  • Rinaldo Brau
  • Antonello Scorcu
  • Laura Vici

Abstract

This paper assesses the appeal of potential interventions on the tourism offer of Rimini, a popular Italian seaside holiday destination, by means of a choice modelling analysis. Tourism can be viewed as a composite good, its overall utility depending on the arrangement of the component characteristics. The discrete choice experiments here incorporate as attributes a number of possible changes to current tourist activities (the subject of public debate), including them in hypothetical alternative holiday packages. The conditional logit analysis indicates that tourists show lesser preference for interventions aimed at protecting the environmental integrity of the beach and greater preference for those, such as the creation of a pedestrianised seafront with late-night opening of amenities and facilities, that are likely to diminish the role of the traditional sea, sun and sand component of the overall holiday experience.

Suggested Citation

  • Rinaldo Brau & Antonello Scorcu & Laura Vici, 2009. "Assessing visitor satisfaction with tourism rejuvenation policies: the case of Rimini, Italy," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(1), pages 25-42.
  • Handle: RePEc:taf:jenpmg:v:52:y:2009:i:1:p:25-42
    DOI: 10.1080/09640560802504621
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    4. Alberini, Anna & Longo, Alberto & Tonin, Stefania & Trombetta, Francesco & Turvani, Margherita, 2005. "The role of liability, regulation and economic incentives in brownfield remediation and redevelopment: evidence from surveys of developers," Regional Science and Urban Economics, Elsevier, vol. 35(4), pages 327-351, July.
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    6. Figini, Paolo & Castellani, Massimiliano & Vici, Laura, 2007. "Estimating Tourist Externalities on Residents: A Choice Modeling Approach to the Case of Rimini," Sustainability Indicators and Environmental Valuation Working Papers 9104, Fondazione Eni Enrico Mattei (FEEM).
    7. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489, December.
    8. Ekin Birol & Victoria Cox, 2007. "Using choice experiments to design wetland management programmes: The case of Severn Estuary Wetland, UK," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 50(3), pages 363-380.
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    Cited by:

    1. M. Pitzalis & I. Sulis & M. Porcu, 2008. "Differences of Cultural Capital among Students in Transition to University. Some First Survey Evidences," Working Paper CRENoS 200805, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Figini, Paolo & Vici, Laura, 2012. "Off-season tourists and the cultural offer of a mass-tourism destination: The case of Rimini," Tourism Management, Elsevier, vol. 33(4), pages 825-839.
    3. I. Sulis & M. Porcu, 2008. "Assessing the Effectiveness of a Stochastic Regression Imputation Method for Ordered Categorical Data," Working Paper CRENoS 200804, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Concu, Nanni & Atzeni, Gianfranco, 2012. "Conflicting preferences among tourists and residents," Tourism Management, Elsevier, vol. 33(6), pages 1293-1300.
    5. Kularatne, Thamarasi & Wilson, Clevo & Lee, Boon & Hoang, Viet-Ngu, 2021. "Tourists’ before and after experience valuations: A unique choice experiment with policy implications for the nature-based tourism industry," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 529-543.
    6. Massimiliano Castellani & Pierpaolo Pattitoni & Laura Vici, 2015. "Pricing Visitor Preferences for Temporary Art Exhibitions," Tourism Economics, , vol. 21(1), pages 83-103, February.
    7. G. Marletto, 2007. "Crossing The Alps: Three Transport Policy Options," Working Paper CRENoS 200712, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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    More about this item

    Keywords

    tourism demand; stated preferences; urban planning; decision making; choice experiments;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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