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Understanding tourist space at a historic site through space syntax analysis: The case of Gulangyu, China

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  • Li, Yuan
  • Xiao, Longzhu
  • Ye, Yu
  • Xu, Wangtu
  • Law, Andrew

Abstract

Although tourist development appears to be an effective approach for the further development of historic towns, researchers have often contended that a balance is difficult to maintain between protection and development. This article applies space syntax analysis to provide an understanding of tourist space at historic sites on Gulangyu Island. The relationship between street network integration and the urban fabric as well as tourist preferences collated from data mining are explored and verified. Then, results of the space syntax analysis along with the proposed historic site plan are compared to provide suggestions in plan evaluation. This research provides a visualized and quantitative approach to the field of tourist management via the application of Geographic Information System (GIS) to urban morphological features, tourist preferences and results gathered by way of planning practice. The effectiveness and limitations of this proposed new approach are also debated and substantiated.

Suggested Citation

  • Li, Yuan & Xiao, Longzhu & Ye, Yu & Xu, Wangtu & Law, Andrew, 2016. "Understanding tourist space at a historic site through space syntax analysis: The case of Gulangyu, China," Tourism Management, Elsevier, vol. 52(C), pages 30-43.
    • Handle: RePEc:eee:touman:v:52:y:2016:i:c:p:30-43
    DOI: 10.1016/j.tourman.2015.06.008
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    Cited by:

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    14. Kalaska Maciej, 2018. "The Possibilities of Using the Guidebook Analysis Method in Research on the Evolution of Urban Tourism Space in Maghreb Countries," Turyzm / Tourism, Sciendo, vol. 28(2), pages 15-21, December.
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    16. Ahmet Salih Günaydın & M. Faruk Altunkasa, 2022. "Developing the socio-spatial integration of historical city centers with spatial strategies: the case of Gaziantep," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8092-8114, June.
    17. Shah Jahan Miah & Huy Quan Vu & John G. Gammack, 2019. "A Location Analytics Method for the Utilisation of Geotagged Photos in Travel Marketing Decision-Making," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-29, March.
    18. Wu, Shou-Tsung & Chen, Yeong-Shyang, 2016. "Examining eco-environmental changes at major recreational sites in Kenting National Park in Taiwan by integrating SPOT satellite images and NDVI," Tourism Management, Elsevier, vol. 57(C), pages 23-36.
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