Comprehensive Evaluation Method and Application Strategy of Street Quality based on Multi-source Big Data:A Case Study of Xiamen Zhongshan Road Block
Under the background of urban renewal,the improvement of people-oriented quality is the core goal of street design,which requires a set of comprehensive evaluation system that starts from users'needs,covers multiple dimensions and is accurate and scientific to accurately perceive street quality.Taking the Zhongshan road block in Xiamen as an example,this study combines multi-source big data to build an evaluation index oriented to the four leading functions of the street,namely,"multiple functions""rich landscape""convenient travel"and"comfortable living",and uses regression model and analytic hierarchy process to check,weight and score the index system,thus forming a set of comprehensive evaluation methods for street quality.Based on the evaluation results,the street quality improvement strategy is put forward,and an application platform for planning management departments,design departments and space users is developed,which is convenient for all stakeholders in urban planning to participate in,thus providing scientific support for planning preparation,management and practice,and implementing the operability and application of the evaluation method.
street qualitycomprehensive evaluationapplication strategymulti-source big dataZhongshan road blockpublic participation
万方数据
