大数据支撑下的土地利用混合对公交出行影响分析——以宜兴市中心城区为例

Analysis on the Impact of Mixed Land Use on Public Transport Trip Supported by Big Data:A Case Study of Downtown,Yixing

城市机动化进程加速异致城市交通问题日益突出,公交出行理念越来越被采纳,其中混合的土地利用模式被认为是提高公交出行的重要手段,但目前对于中小城市土地混合利用对公交出行影响鲜有讨论。在大数据背景下,本文结合城市大数据与小数据,以宜兴公交站点周边地区为研究对象和单元,提出结合公交刷卡数据与手机信令数据的公交分担率计算方法,进而分析土地利用混合对公交出行影响。研究表明,大数据和小数据结合的方法能够很好计算公交出行分担率,为相关规划和管理部门提供基础依据和决策参考。对于宜兴这种中小尺度城市,土地利用混合度对公交出行影响较小,采取混合土地利用方式进行土地开发,并不能有效提高居民公交出行比例。

The urban traffic problem is becoming more and more serious due to the speeding up of urban motorization. The concept of bus travel is increasingly adopted by urban development. Mixed land use pattern is considered as an important means to improve bus travel, but for the mixed use of small and medium cities bus travel is rarely discussed. In the context of big data, this paper combines big data and small data taking Yixing bus station around the area as the research object and unit, put forward bus share rate calculation method combined with bus card data and mobile phone signaling data. The research shows that the combination of big data and small data can well calculate the trip share of public transportation and provide the basis and reference for relevant planning and management departments. For small and medium- sized cities such as Yixing, the degree of mixed use of land use has a small impact on bus travel, and the land development by means of mixed land use can not effectively increase the proportion of public transport trips.