nep-tur New Economics Papers
on Tourism Economics
Issue of 2007‒03‒31
three papers chosen by
Antonello Scorcu
University of Bologna

  1. Evaluation of coastal squeeze and beach reduction and its consequences for the Caribbean island Martinique By Christine Schleupner
  2. Coastal landscape and the hedonic price of accommodation By Jacqueline M. Hamilton
  3. Stochastic congestion and pricing model with endogenous departure time selection and heterogeneous travelers. By Wuping Xin; David Levinson

  1. By: Christine Schleupner (Research unit Sustainability and Global Change, Hamburg)
    Abstract: Based on a spatial model, the Martinique beaches and coastal wetlands are examined to identify the risks of coastal squeeze. In many cases coastal development prevents coasts from adapting by shifting landward. Also tourism infrastructure augments the vulnerability of beach reduction and mangrove squeeze. More than 70% of all Martinique beaches and 29% of mangrove forests are highly endangered by coastal squeeze if sea level rises. The majority of coastal constructions and especially tourist hotels are built at heights between 1 and 10 m above the present sea level and therefore also within the zone at risk to flooding and erosion. Spatial analysis based on a conducted GIS model is carried out that evaluates the tourist destinations most vulnerable to the impacts of sea level rise. If sea level rises and beach reduction becomes an increasing problem the attractiveness of Martinique beaches as tourist destination is likely to decline.
    Keywords: Caribbean, Lesser Antilles, Regional Planning, GIS, Climate Change, Coastal Change, Erosion, Inundation
    JEL: Q54
    Date: 2005–05
  2. By: Jacqueline M. Hamilton (Research unit Sustainability and Global Change, Hamburg)
    Abstract: The impact of climate change on tourism has been examined in terms of changes in a destinations climate; the impact of ancillary effects such as sea-level rise has been neglected. In this study the role that coastal and other landscape features have on the attractiveness of tourist destinations is examined using the hedonic price technique. The average price of accommodation in the coastal districts of Schleswig-Holstein is explained using landscape and other characteristics of these districts. As the western coastline of Schleswig-Holstein is protected by dikes, adaptation measures as well as natural coastal features are represented in the data set. The analysis shows that an increase in the length of dikes in a given district would result in a reduction in the average price of accommodation. An increase in the length of open coast results in an increase in the average price of accommodation. The impact of sea-level rise is examined through an assessment of the financial losses in the accommodation sector through the modification of the coastline caused by the construction of different coastal protection measures. It was found that, purely in terms of accommodation revenues, beach nourishment rather than dike construction is the more beneficial adaptation measure.
    Keywords: accommodation price, hedonic price technique, coastal landscape, climate change, adaptation
    JEL: L83
    Date: 2005–09
  3. By: Wuping Xin; David Levinson (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)
    Abstract: This paper proposes a stochastic congestion and pricing model that combines a bottleneck model with stochastic queuing to study roadway congestion and pricing. Employing this model, two pricing schemes are developed: one is omniscient pricing for which the transportation administrative agency is assumed to be aware of each and every traveler's cost structure (i.e., their detailed valuation of journey cost as well as early and late penalties), and the other is observable pricing, for which only queuing delay is considered. Travelers are characterized by their late-acceptance level and the effects of various compositions of late-averse, late-tolerant and late-neutral travelers on congestion patterns with and without pricing are discussed.  Numerical simulation indicates that omniscient pricing scheme is most effective in suppressing peak hour congestion and distributing demands over longer time horizon. Also, congestion pricing is found to be more effective when travelers have diversified cost structures than identical cost structures, and congestion is better reduced with heterogeneous traveler composition than with single composition. This is consistent with earlier studies in the literature. In addition, the simulation results indicate that omniscient pricing in general reduces Expected Total Social Cost<(with or without the return of the congestion fee). However, the ultimate benefits of a certain pricing scheme depend on travelers' cost structure as well as the composition of late-tolerant, late-averse and late-neutral travelers in the entire population; extreme situations such as 100% late-averse or 100% late-tolerant traveler composition deserves extra attention when analyzing different pricing schemes.
    Keywords: Agent-based Model, Game Theory, Congestion, Queueing, Traffic Flow, Congestion Pricing, Road Pricing, Value Pricing
    JEL: R41 R42 R48 D10 D81 D83 C72
    Date: 2006

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