城市设计导向的区域性交通拥堵评价及影响因素挖掘 ——以深圳市轨道核心区域为例  

Urban Design Oriented Assessment of Area-Based Traffic Congestion:a Case Study of Shenzhen’s Metro Station Core Area

作　　者：郭馨[1] 赵丽芳 章逸萱 易生奥 涂伟[1] 陈宇[1] GUO Xin;ZHAO Lifang;ZHANG Yixuan;YI Shengao;TU Wei;CHEN Yu

机构地区：[1]深圳大学 [2]宾夕法尼亚大学

出　　处：《住区》2023年第2期12-23,共12页Design Community

基　　金：国家自然科学基金青年科学基金项目(51908359),基于DBSCAN室内定位大数据的轨道枢纽综合体人流时间图谱与空间组织耦合关系研究。

摘　　要：交通道路方案评价一直是城市设计中的痛难点,特别对于大城市轨道站点周边区域,其交通状况不仅涉及道路系统,更与区域组织息息相关。因此,如何建立一个能反映城市-交通-人关系的区域性评价指标是当前城市设计导向下的交通评价重要论题。本文以深圳市地铁核心区域为例,利用多源大数据,提出区域交通拥堵测度指标AVT,并通过地理加权回归模型对显著影响因素及其分区特征进行城-区-站三层次挖掘,为城市设计和交通优化提供新思路。The evaluation of traffic and road schemes has always been a pain point in urban design,especially for the surrounding areas of urban rail stations,where the traffic conditions are not only related to the road system,but also closely related to the regional organization.Therefore,under the guidance of current urban design,how to establish a regional evaluation index that can reflect the relationship between city-traffic-people is an important topic in traffic evaluation.Taking the core area of Shenzhen subway as an example,this paper proposes the regional traffic congestion measurement index AVT by using multi-source big data,uses the geographically weighted regression model to mine the significant influencing factors and their zoning characteristics at three levels of city-district-station,and provides new ideas for urban design and traffic optimization.

关 键 词：交通拥堵 轨道交通站域 出租车GPS数据 活跃机动车区域穿行时间 深圳 

分 类 号：TU98[建筑科学—城市规划与设计]