基于多源大数据分析的北京市典型建成绿道评价  

Evaluation of Typical Built Greenways in Beijing Based on Multi-Source Big Data Analysis

作　　者：谭立[1] 赵茜瑶 李倞[1] TAN Li;ZHAO Xiyao;LI Liang

机构地区：[1]北京林业大学

出　　处：《现代城市研究》2019年第10期36-42,共7页Modern Urban Research

基　　金：中央高校基本科研业务费专项资金(编号:2017Z103,2015ZCQ-YL-02);国家自然科学基金青年科学基金项目“基于空间潜力和社会行为量化分析的城市型绿道网络识别和构建模式研究——以北京海淀区为例”(编号:31600577)

摘　　要：随着城市的高速发展,很多大城市如北京已经逐步规划和建设了城市的绿道网络,为城市中的人们提供通勤和户外活动的重要绿色公共空间。信息时代,大数据分析方法的涌现为评价绿道使用状况提供了新的途径。本文以三种大数据为评价的数据源,以基于文本语义解析的使用情感评价和基于位置服务数据的空间使用率评价为两个评价视角,对北京市建成的三组典型绿道进行综合评价,为未来绿道的建设和现有绿道的提升改造提供指导。With the rapid development of cities,many mega cities such as Beijing have gradually planned and built a greenway network,providing an important green public space network for commuting and outdoor activities.Nowadays,the emergence of new network service platforms has provided many new big data sources for evaluating the use of greenways.In this paper,three kinds of new emerging big data are used as the data source for the evaluation of three typical greenway groups built in Beijing,ending up in two perspective evaluation methods: sentiment evaluation based on text semantic analysis and space usage evaluation based on location service data.Furthermore,a comprehensive analysis was down to evaluate the comprehensive potential of different sections of greenways by combing the results of the two perspective methods.Through comparative analysis and survey feedback on the current status of the greenway,the research summarizes the potential improvement sections of Beijing's typical greenways and suggestions for upgrading,and provides guidance for the construction of future greenways and the upgrading of existing greenways.

关 键 词：绿道 大数据 空间统计 NLPIR 语义分析 

分 类 号：TU985.12[建筑科学—城市规划与设计]