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武汉滨江旅游码头空间品质多维度评价及影响因素 被引量:1

Multi-dimensional Evaluation and Influencing Factors of Space Quality of Wuhan Riverside Tourist Wharf
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摘要 城市滨水码头是滨水空间重要组成部分和空间品质的代表性区域,以武汉滨江旅游码头为例,利用多源大数据、问卷调查数据,基于码头空间(客观)、使用者(主观)两个维度,从便捷性、功能多样性、人群感知多层面进行空间品质评价,并结合人群活力进行空间分类.同时采用Pearson相关系数研究空间品质要素与人群活力的相关性.结果表明:(1)各组码头空间品质与活力差异较大,且存在品质与活力不匹配的现象;(2)根据评价结果可划分出4种不同类型码头;(3)便捷性与功能多样性对人群活力影响显著.最后,基于评价结果提出针对性优化策略,以期为城市滨水码头空间景观营造与品质提升提供参考. Urban waterfront wharf is an important part of waterfront space and a representative area of space quality.Taking Wuhan riverside tourist wharf as an example,using multi-source big data and questionnaire survey data,based on two dimensions of wharf space(objective)and users(subjective),space quality evaluation is carried out from the dimensions of convenience,functional diversity,and crowd perception.The space classification is carried out by combining with the crowd vitality.At the same time,Pearson correlation coefficient is used to study the correlation between space quality elements and crowd vitality.The results show that:(1)The space quality and vitality of each group of wharf differ greatly,and there is a mismatch between quality and vitality.(2)Four different types of wharfs can be classified according to the evaluation results.(3)Convenience and functional diversity have significant impacts on crowd vitality.Finally,based on the evaluation results,targeted optimization strategies are proposed in order to provide reference for the creation and quality improvement of urban waterfront wharf space landscape.
作者 张诗琪 杜守帅 柳迪子 Zhang Shiqi;Du Shoushuai;Liu dizi(School of Design,Jiangnan University,Wuxi 214122,China;Shanghai Academy of Fine Arts,Shanghai University,Shanghai 200444,China;College of Architecture and Urban Planning,Tongji University,Shanghai 200092,China)
出处 《南京师大学报(自然科学版)》 CAS 北大核心 2023年第4期40-49,共10页 Journal of Nanjing Normal University(Natural Science Edition)
基金 2018年度教育部人文社会科学研究规划基金项目(18YJA760090) 江南大学产品创意与文化研究中心、中央高校基本科研业务费专项基金(2017JDZD02).
关键词 滨江旅游码头 空间品质 活力 相关性分析 武汉 riverside tourist wharf space quality vitality correlation analysis Wuhan
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