摘要
为改善传统居民出行调查受制于调查对象的主观感受,难以获得客观、真实的特征数据等问题。通过借助百度地图API(Application Programming Interface,简称API)开源数据,构建了一套科学的技术方法,实现与传统出行调查数据的融合。以石家庄2015年居民出行调查为例,对小汽车、公交及其他方式出行距离、出行时耗等关键数据误差进行修正,形成了更为客观、精确的出行特征指标。基于此,还对修正数据进一步挖掘,实现对石家庄公交出行链各环节指标逐一剖析,并就如何提升公交整体服务水平及竞争力,提出了具体改善建议。
In order to improve the problem which traditional resident trip survey is subject to the subjective feelings of the respondents and difficult to obtain objective and real characteristic data. Based on Baidu Map API open source data, a set of scientific technical methods is constructed to realize the fusion with traditional travel survey data. Taking Shijiazhuang’s 2015 resident trip survey as an example, correcting the key data errors such as travel distance and travel time of different modes from transportation to form more objective and accurate travel characteristic indicators. Further mining the revised data to analyze the every link index of Shijiazhuang transit trip chaining. And put forward specific improvement suggestions of how to improve the overall service quality and competitiveness of transit trip.
作者
康浩
曹雄赳
张帅
吴克寒
KANG Hao;CAO Xiongjiu;ZHANG Shuai;WU Kehan(China Academy of Urban Planning&Design,Beijing 100037,China;Beijing Transport Institute,Beijing 100013,China)
出处
《交通与运输》
2019年第2期23-27,共5页
Traffic & Transportation
基金
中国城市规划设计研究院科技创新基金项目"基于数据挖掘的交通拥堵机理解析"(C-201728)
