Vitality evaluation of the waterfront space in the ancient city of Suzhou

Yingxiang Niu , Xiaoyan Mi , Zhao Wang

Front. Archit. Res. ›› 2021, Vol. 10 ›› Issue (4) : 729 -740.

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Front. Archit. Res. ›› 2021, Vol. 10 ›› Issue (4) :729 -740. DOI: 10.1016/j.foar.2021.07.001
RESEARCH ARTICLE
RESEARCH ARTICLE

Vitality evaluation of the waterfront space in the ancient city of Suzhou

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Abstract

With a history spanning thousands of years, the water system of Suzhou is an indispensable carrier of urban space and civil culture. Quantificational model analysis of the waterfront in the ancient city of Suzhou has significant implications for the future design of waterfront space and the establishment of an evaluation method to determine the vitality of such space. In this study, a vitality evaluation model was first constructed using river attributes, the spatial type of waterfront areas, vision accessibility, transportation accessibility, and combined new data extracted using spatial factor analysis. Second, a vitality evaluation matrix was established using the analytic hierarchy process to simulate the vitality of waterfront spaces. Third, a hash algorithm was employed to determine the fitting degree between the vitality model of Suzhou’s waterfront space and crowd activity. The different areas between them were found and then the factor evaluation process was adjusted on this basis of analyzing the causes. Thus, this study identified the factors influencing the vitality of Suzhou’s waterfront. Furthermore, this research constructed a model for evaluating the vitality of waterfront spaces. Finally, some guidelines were presented regarding the design and implementation of waterfront spaces in urban design.

Keywords

Waterfront space / Influence factor / Vitality evaluation model / Crowd activity / Hash algorithm

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Yingxiang Niu, Xiaoyan Mi, Zhao Wang. Vitality evaluation of the waterfront space in the ancient city of Suzhou. Front. Archit. Res., 2021, 10(4): 729-740 DOI:10.1016/j.foar.2021.07.001

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2021 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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