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Data · dataset · 2011

Dynamic Model for Urban Eco-Tourism System

Listed in Harvard Dataverse

The concept of ecotourism has been promoted by the public in decades, and it is expected to push local development forward while conserves the ecological resources.

Description

However, the practical process is full of confliction and contradiction, and makes the development of ecotourism have its argument. That situation presses the emerging of urban ecotourism.

Urban ecotourism has tried to make gradual progress to translate urban tourism into ecological form, and all its sponsors argue the contents of ecotourism can rooted in more people’s mind through this way. Considering the concept of urban ecotourism is still obscure, this study introduces the method of Fuzzy number construction, to construct the index of urban ecotourism. Yangmingshan National Park and Taipei city are applied to exam the relationship between both of them through system dynamic method.

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The result reveals that the ecotourism destination has not destructed obviously while the tourists have been increasing in the early period. But if the policy of recreation carrying capacity has not been built up, the biodiversity will decay soon while the tourists keep on growing. In addition, the number of urban tourists is also increasing while urban ecotourism has been ripe, and that will result more carbon dioxide emissive while economy vigorous.

The ecological green lands could reduce the speed of carbon dioxide emission. All in all, urban ecotourism may provide an alternative choice of urban tourism, and correspond to the direction of ecological city.

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Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E96047-113 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0