Reject or select: Mapping destination choice

The purpose of this study is to empirically explore tourists' destination choice processes. Destination choices are investigated using a combination of data on destinations and on tourists' individual destination choices. Data were collected in Munich/Germany in 2013 using personal interviews; 622 interviews were completed. This approach allows detecting reasons for the rejection or selection of certain types of destinations during the destination choice process. Results show that tourists often start the destination choice process with various combinations of destination types but act similarly when choosing the final destination. The investigation of tourist and destination characteristics results in a tourist typology that varies in regard to similarity and type of alternative destinations at different stages of the destination choice process. (C) 2015 Elsevier Ltd. All rights reserved

Micro-level assessment of regional and local disaster impacts in tourist destinations

The tourism sector faces severe challenges due to the economic impacts from changing natural environments as seen with the increased frequency of natural disasters. Therefore, analyses of disaster impacts models are necessary for managing successful tourism recovery. Typically, disaster assessments are conducted on a countrywide level, which can lead to imbalanced recovery processes, and a distorted distribution of recovery financing or subsidies. We address the challenges of recovery using the tourism disaster management framework by Faulkner. To calculate precise damage assessments, we develop a micro-level assessment model to analyze and understand disaster impacts at the micro-level supporting tourism recovery in an affected destination. We examine economic consequences of a disaster at a small regional scale arguing recovery from a natural disaster is more difficult in individual areas because of differences in geographic location or infrastructure development. The island of Dominica is chosen as an example for the model using statistical data from the tourism sector to outline and detail the consequences of a disaster specifically for communities. The results highlight the importance of damage assessments on a small-scale level, such as communities in order to distinguish between individual regions facing severe changes for resident livelihoods and the local tourism sector. We argue that only after identifying regional impacts it is possible to apply adequate governmental subsidies and development strategies for a country's tourism sector and residents in a continuously changing environment in the hopes of mitigating future financial losses and future climate change impacts

Integrated regional modelling and scenario development to evaluate future water demand under global change conditions

Multi-agent simulation, Global change, Regional modelling, Integrated water resources management, Water users, Domestic water demand, Tourism, Interdisciplinary framework approach,

Global change impacts on groundwater in Southern Germany-Part 2: Socioeconomic aspects

In order to account for complex interactions between humans climate and the water cycle, the research consortium GLOWA-Danube (www.glowa-danube.de) has developed the simulation system DANUBIA which consists of 17 coupled models. DANUBIA was applied to investigate various impacts of global-change between 2011 and 2060 in the Upper Danube Catchment. This article describes part 2 of an article series with investigations of socio-economic aspects, while part 1 (Barthel et al. in Grundwasser 16(4), doi:10.1007/s007-011-01794, 2011) deals with natural-spatial aspects. The principles of socioeconomic actor-modeling and interactions between socioeconomic and natural science model components are described here. We present selected simulations that show impacts on groundwater from changes in agriculture, tourism, economy, domestic water users and water supply. Despite decreases in water consumption, the scenario simulations show significant decreases in groundwater quantity. On the other hand, groundwater quality will likely be influenced more severely by land use changes compared to direct climatic causes. However, overall changes will not be dramatic