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Multiobjective planning for integrated land use and outside‐allied transportation systems in recreational areas

Bibliographic Data

ID12463249
AuthorsMing‐Huei Lee (0000-0002-1067-5904, Chinese Culture University, corresponding author), Gwo‐hshiung Tzeng (0000-0003-1856-7497, National Yang Ming Chiao Tung University), Wen‐Chir Yeh (National Yang Ming Chiao Tung University)
Year1996
Volume1
Issue1
Pages69-90
Publication date1996-01-01
Open AccessNo
TypeARTICLE
VenueAsia Pacific Journal of Tourism Research (JOURNAL)
Journal identifiersISSN: 1094-1665 • E-ISSN: 1741-6507
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/10941669708721965
OpenAlexW2018447150
LanguageEN
References cited15

In recent decades, recreational needs have dramatically increased due in part to increased economic prosperity and people becoming more wealthy. As a result, the utilization of recreational resources and the management of recreational areas has become an urgent issue for the government and private authorities. In past studies, the planning or developing of land use for recreational areas almost only dealt with resource planning, and neglected to consider the problems of transportation systems. This resulted in two problems: 1) the supply of recreational resources and recreational needs could not be balanced, which resulted in an overuse of resources; and 2) the outside‐allied transportation service systems and recreational needs were Unbalanced, which resulted in traffic flow problems. This paper focuses on the level of service associated with outside‐allied roads for recreational areas and considers the transportation conditions needed to build a normative model for recreational land use using fuzzy multi‐objective planning. The best balance, should take into account the trade‐offs of various objectives: the flexible constraints of the resources and satisfactory transportation conditions. The optimum solution for developing areas and categories of land use should include these four objectives: a) the maximum satisfaction of recreational needs, b) the maximum amount of resource conservation, c) the maximum economic benefit, and d) the maximum level of service for the outside‐allied transportation systems

Business · Civil engineering · Economic growth · Economics · Environmental economics · Environmental planning · Environmental resource management · Geography · Government (linguistics · Land use · Prosperity · Recreation · Resource (disambiguation · Service (business · Computer Science · Engineering · Optimization and Mathematical Programming · Smart Parking Systems Research · Urban Transport and Accessibility · Marketing

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Highly citedNo

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