9 resultados para Human geography.

em Dalarna University College Electronic Archive


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The current development of tourism is environmentally unsustainable. Specifically, tourism’s contribution to climate change is increasing while other sectors are reducing their greenhouse gas emissions. This paper has two goals: reveal the main structural cause for tourism’s emission growth and show the consequences thereof for (mitigation) policies. It is reasoned that the main cause for tourism’s strong emission growth is the time-space expansion of global tourism behavior. Contemporary tourism theory and geography fail to clearly describe this geographical development, making it difficult to understand this expansion and develop effective policies to mitigate environmental impacts. Therefore, this paper explores some elements of a ‘new tourism geography and shows how this may help to better understand the causes of the environmentally unsustainable development of tourism with respect to climate change and devise mitigation policies.

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GPS tracking of mobile objects provides spatial and temporal data for a broad range of applications including traffic management and control, transportation routing and planning. Previous transport research has focused on GPS tracking data as an appealing alternative to travel diaries. Moreover, the GPS based data are gradually becoming a cornerstone for real-time traffic management. Tracking data of vehicles from GPS devices are however susceptible to measurement errors – a neglected issue in transport research. By conducting a randomized experiment, we assess the reliability of GPS based traffic data on geographical position, velocity, and altitude for three types of vehicles; bike, car, and bus. We find the geographical positioning reliable, but with an error greater than postulated by the manufacturer and a non-negligible risk for aberrant positioning. Velocity is slightly underestimated, whereas altitude measurements are unreliable.

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“Tourism’s very existence depends on transport. Still, researchers in transportation and logistics do not show much interest in tourism whereas travel and tourism researchers pay more attention to accessibility than to transport.” These were the opening sentences of the call for papers for the TTRA European Chapter Conference “Transport and Tourism: Challenges, Issues and Conflicts” held in Rotterdam and Breda, The Netherlands from 22 to 24 April 2009.

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Optimal location on the transport infrastructure is the preferable requirement for many decision making processes. Most studies have focused on evaluating performances of optimally locate p facilities by minimizing their distances to a geographically distributed demand (n) when p and n vary. The optimal locations are also sensitive to geographical context such as road network, especially when they are asymmetrically distributed in the plane. The influence of alternating road network density is however not a very well-studied problem especially when it is applied in a real world context. This paper aims to investigate how the density level of the road network affects finding optimal location by solving the specific case of p-median location problem. A denser network is found needed when a higher number of facilities are to locate. The best solution will not always be obtained in the most detailed network but in a middle density level. The solutions do not further improve or improve insignificantly as the density exceeds 12,000 nodes, some solutions even deteriorate. The hierarchy of the different densities of network can be used according to location and transportation purposes and increase the efficiency of heuristic methods. The method in this study can be applied to other location-allocation problem in transportation analysis where the road network density can be differentiated. 

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The p-median problem is often used to locate P service facilities in a geographically distributed population. Important for the performance of such a model is the distance measure. Distance measure can vary if the accuracy of the road network varies. The rst aim in this study is to analyze how the optimal location solutions vary, using the p-median model, when the road network is alternated. It is hard to nd an exact optimal solution for p-median problems. Therefore, in this study two heuristic solutions are applied, simulating annealing and a classic heuristic. The secondary aim is to compare the optimal location solutions using dierent algorithms for large p-median problem. The investigation is conducted by the means of a case study in a rural region with an asymmetrically distributed population, Dalecarlia. The study shows that the use of more accurate road networks gives better solutions for optimal location, regardless what algorithm that is used and regardless how many service facilities that is optimized for. It is also shown that the simulated annealing algorithm not just is much faster than the classic heuristic used here, but also in most cases gives better location solutions.

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Many rural areas, in Sweden and worldwide, experience population decline where the young leave for education and work in urban areas. Employment has declined in several rural industries, such as agriculture, forestry, and fishing, while growing in other industries are often located in urban areas. Politicians and organizations have put much hope in tourism as a tool of rural development, but can tourism help reverse the rural out-migration trend among young adults? This paper explores how tourism affects young inhabitants’ perceptions of and affective bonds to a rural area in Sweden, the ski resort of Sälen. Students from the 1993–1995 elementary school graduating classes were interviewed about their migration history, childhood, and view of and ties to Sälen. The respondents experience that tourism contributes to a more vital community incorporating influences from elsewhere, but without eliminating the positive aspects of rural life. The regular flow of people – tourists, seasonal workers, and entrepreneurs – passing through Sälen presents opportunities to extend one’s social network that are widely appreciated by respondents. The high in and out mobility constitutes a key part of Sälen’s character. Contributions from tourism – such as employment, entertainment, leisure, and opportunities to forge new social relationships – are available during the adult transition, the life phase when rural areas are often perceived as least attractive. Even though out-migration occurs in Sälen, and some respondents still find Sälen too small, tourism has clearly increased the available opportunities and contributed significantly to making Sälen more attractive to young adults.

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This thesis examines how tourism affects conditions for young adults in rural areas. Such a study lies at the intersection of research about tourism impacts, adult transition, and rural areas. The aim is to examine how largescale tourism affects the opportunities for young adults living in rural areas; their perception of place and the perceived opportunities and obstacles that tourism provides. The thesis utilizes a mixed method approach. A quantitative study based on micro-data on individuals identifies the patterns and magnitudes of the mechanisms by which tourism affects population change among young adults. Interview methods are used in the case study area, Sälen, to investigate these mechanisms in depth. Finally, the rural–urban dichotomy is explored in a conceptual study that asks how tourism affects the perception of a local village as either rural or urban. Young inhabitants in rural areas are rarely considered in tourism research; therefore, the main contribution of this thesis is that it illuminates how tourism affects conditions for young adults in rural areas. The thesis reveals a substantial impact on the adult transition, mainly due to easier access to the labor market and a good supply of jobs during the high season. Further, the large number of people passing through creates flows of opportunities to make friends, get a job, or just meet people. All of these factors contribute to high mobility in these places, and to the perception of them as places where things happen. The high mobility in Sälen implies that fixed migrant categories (such as stayers and leavers) are largely insufficient. The tourism environment creates a space that is always under construction and continually producing new social relations mainly perceived as opportunities. Conceptualizing this as a modern rurality is a way to move beyond the often implicit notions of urban as modern and rural as traditional.

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The Arctic is affected by global environmental change and also by diverse interests from many economic sectors and industries. Over the last decade, various actors have attempted to explore the options for setting up integrated and comprehensive trans-boundary systems for monitoring and observing these impacts. These Arctic Observation Systems (AOS) contribute to the planning, implementation, monitoring and evaluation of environmental change and responsible social and economic development in the Arctic. The aim of this article is to identify the two-way relationship between AOS and tourism. On the one hand, tourism activities account for diverse changes across a broad spectrum of impact fields. On the other hand, due to its multiple and diverse agents and far-reaching activities, tourism is also well-positioned to collect observational data and participate as an actor in monitoring activities. To accomplish our goals, we provide an inventory of tourism-embedded issues and concerns of interest to AOS from a range of destinations in the circumpolar Arctic region, including Alaska, Arctic Canada, Iceland, Svalbard, the mainland European Arctic and Russia. The article also draws comparisons with the situation in Antarctica. On the basis of a collective analysis provided by members of the International Polar Tourism Research Network from across the polar regions, we conclude that the potential role for tourism in the development and implementation of AOS is significant and has been overlooked.