کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1012773 939155 2011 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
How can tourism use land more efficiently? A model-based approach to land-use efficiency for tourist destinations
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری استراتژی و مدیریت استراتژیک
پیش نمایش صفحه اول مقاله
How can tourism use land more efficiently? A model-based approach to land-use efficiency for tourist destinations
چکیده انگلیسی

In densely populated areas of Central Europe, many successful tourist destinations face the problem of approaching the limit of their growth potential. Solutions to this problem commonly refer to the idea of “smart growth” based on increasing efficiency in the use of nature for economic production (eco-efficiency). In this paper, we show how eco-efficiency can be used to evaluate tourism strategies on local scale based on an augmented regional input–output model that delivers information on economic performance, land use (as indicator for environmental pressure), and employment. We illustrate this approach via a case study of the tourist destination of Davos in the Swiss Alps. The model predicts that the key drivers of land-use efficiency are: (i) the economic impact of tourists, (ii) occupancy intensity, and (iii) the density of beds per area covered by residential buildings and hotels. The economic impact of increasing bed capacity is highly dependent on the tourist category triggering the development; this can also be used to attract new tourist categories at the expense of tourist categories that make inefficient use of available land. As the impact of an increased density of beds per ground floor area is as high as an improved occupancy rate over during the year, spatial planning, building design, and facility management also play a major role in improving land efficiency in the tourism sector.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Tourism Management - Volume 32, Issue 3, June 2011, Pages 629–640
نویسندگان
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