摘要
大数据正逐渐成为城市公共交通规划的重要手段。将大数据与传统数据相融合的多源数据运用到有轨电车线网规划中,提出了能够支撑有轨电车发展的多源数据形式与特征。在分析多源数据类型及其适用性的基础上,构建了基于多源数据的有轨电车线网规划方法,并提出相应的分析步骤与流程。以嘉兴市为例,通过手机信令与居民出行调查等多源数据的相互验证和相互支撑,形成了数据导向下的有轨电车线网规划方案,为有轨电车线网规划的合理性及科学性论证提供依据。
Big data is gradually becoming an important means in urban public transport planning.In this paper,by applying the multi-source data that combines big data and traditional data in tramcar network planning,the forms and characteristics of multi-source data that can support the development of tramcar are proposed.Through an analysis of the multi-source data patterns and their adaptability,a tramcar network planning method based on multi-source data is proposed,corresponding analytic steps and procedures are put forward.Finally,taking Jiaxing City as an example,through the mutual verification and mutual support of multi-source data,including the mobile signaling and the resident travel survey,a data-oriented tramcar network planning is formed,which provides a basis for the rationality and scientificity of tramcar network planning.
作者
王斌
WANG Bin(Shanghai Urban Construction Design and Research Institute(Group)Co.,Ltd.,200125,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2020年第S01期9-14,20,共7页
Urban Mass Transit
关键词
有轨电车
线网规划
多源数据
大数据
tramcar
line network planning
multi-source data
big data
