基于手机信令数据的高速公路服务区客流特征研究
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摘要
为了提高我国高速公路服务区的服务水平和质量,建立了服务区客流特征研究体系。首先对手机信令数据进行数据提取、处理及分析,然后从用户职住分布、用户行为轨迹、用户行为特征3个角度对服务区客流特征进行可视化研究和科学分析,并以运营商提供的京沪高速公路马驹桥服务区连续8周的手机信令数据作为该研究体系的实验案例。案例分析结果表明,该服务区服务设施现状水平不能充分满足用户多样化的需求,应针对用户需要合理增设及配置服务设施,提升服务区服务水平;也证明了服务区客流特征研究体系可以有效挖掘服务区现存问题,明确服务区发展方向,能为制定更为完善的服务区改善措施提供决策依据。
To improve the service level and quality of expressway service areas in China, the research system of passenger flow characteristics in service areas was established. First, the mobile signaling data was extracted, processed and analyzed. Then, the visualization and scientific analysis of passenger flow characteristics in service areas were carried out from three perspectives which were user′ s jobshousing distribution, user′s behavior track and user′s behavior characteristics. The eight-week mobile signaling data of Majuqiao service area of Beijing-Shanghai Expressway provided by operators was taken as the experimental case of this research system. The result of the case study shows that the current level of service facilities in this service area can′t fully meet users′ diversified needs and should be reasonably added according to the users′ needs to improve the service level. It also indicates that this research system can effectively excavate the existing problems of service areas and define their development direction to provide the decision basis for formulating more perfect improvement measures.
To improve the service level and quality of expressway service areas in China, the research system of passenger flow characteristics in service areas was established. First, the mobile signaling data was extracted, processed and analyzed. Then, the visualization and scientific analysis of passenger flow characteristics in service areas were carried out from three perspectives which were user′ s jobshousing distribution, user′s behavior track and user′s behavior characteristics. The eight-week mobile signaling data of Majuqiao service area of Beijing-Shanghai Expressway provided by operators was taken as the experimental case of this research system. The result of the case study shows that the current level of service facilities in this service area can′t fully meet users′ diversified needs and should be reasonably added according to the users′ needs to improve the service level. It also indicates that this research system can effectively excavate the existing problems of service areas and define their development direction to provide the decision basis for formulating more perfect improvement measures.
引文
[1]王继宁.市政道路和公路施工质量控制异同[J].黑龙江科技信息,2015,8(14):209.
[2]吴剑辉.关于节假日高速公路交通拥堵现象的几点思考[J].城市建设理论研究(电子版),2014,3(18):475.
[3]筱砾.代建制的利弊及发展方向[J].中国工程咨询,2011,11(9):75,30.
[4]李源鑫.高速公路智慧服务区系统设计[J].中国交通信息化,2019,20(3):82-85,118.
[5]刘东,段晨,信红喜.我国高速公路服务区现状和未来发展建议[J].交通标准化,2008,32(10):23-27.
[6]穆莉英.高速公路服务区合理规模与布局研究[D].天津:河北工业大学,2007.
[7]王太.高速公路服务区协调布局与运营管理模式研究[D].西安:长安大学,2012.
[8]周健蓉.高速公路新型服务区设施布局规划分析[J].城市建设理论研究(电子版),2018,7(27):138.
[9]王福田.隧道出口与服务区最小净距研究[J].交通世界(建养机械),2014(16):102-104.
[10]张玲.山地建筑设计理念在山区高速公路服务区的设计应用研究[J].公路交通科技(应用技术版),2019,14(1):272-275.
[11]苗建明.新疆高速公路服务区运营管理研究[D].石河子:石河子大学,2018.
[12]BRILON W,ESTEL A.Differentiated Analysis of Level of Service within the German Highway Capacity Manual[J].Transportation Research Record:Journal of the Transportation Research Board,2010,21(73):36-44.
[13]KING G F.Evaluation of Safety Roadside Rest Areas[R].Washington D C:Transportation Research Board,1989.
[14]NUTT B.Motorway Way Services.A Deserving Case[J].Design,1974(301):74-79.
[15]BALAKRISHNAN J,CHENG C H,GONWAY D G.AHybrid Genetic Algorithm for the Dynamic Plant Layout Problem[J].International Journal of Production Economies,2003,86(2):107-120.
[16]廖锟.基于手机信令数据的出行特性分析[J].河北交通职业技术学院学报,2017(2):62-67.
[17]王利雷.基于手机信令数据的城市轨道交通客流出行信息提取方法研究[D].成都:西南交通大学,2018.
[18]章玉.基于手机信令的城市群通道出行特征提取方法研究[J].综合运输,2017,39(11):57-62.
[19]丘建栋.基于手机信令数据的居住和出行特征分析[J].数据挖掘,2018,8(4):162-173.
[20]刘艳林.基于移动数据的城市功能区特征模型的研究与应用[D].重庆:重庆邮电大学,2017.
[21]刘向云.京沪高速引入天津枢纽设计构想[J].铁道勘察,2014,39(3):88-90.
[22]王志洪.高速公路服务区存在的问题以及升级发展构想[J].山西建筑,2018,44(29):231-233.
[2]吴剑辉.关于节假日高速公路交通拥堵现象的几点思考[J].城市建设理论研究(电子版),2014,3(18):475.
[3]筱砾.代建制的利弊及发展方向[J].中国工程咨询,2011,11(9):75,30.
[4]李源鑫.高速公路智慧服务区系统设计[J].中国交通信息化,2019,20(3):82-85,118.
[5]刘东,段晨,信红喜.我国高速公路服务区现状和未来发展建议[J].交通标准化,2008,32(10):23-27.
[6]穆莉英.高速公路服务区合理规模与布局研究[D].天津:河北工业大学,2007.
[7]王太.高速公路服务区协调布局与运营管理模式研究[D].西安:长安大学,2012.
[8]周健蓉.高速公路新型服务区设施布局规划分析[J].城市建设理论研究(电子版),2018,7(27):138.
[9]王福田.隧道出口与服务区最小净距研究[J].交通世界(建养机械),2014(16):102-104.
[10]张玲.山地建筑设计理念在山区高速公路服务区的设计应用研究[J].公路交通科技(应用技术版),2019,14(1):272-275.
[11]苗建明.新疆高速公路服务区运营管理研究[D].石河子:石河子大学,2018.
[12]BRILON W,ESTEL A.Differentiated Analysis of Level of Service within the German Highway Capacity Manual[J].Transportation Research Record:Journal of the Transportation Research Board,2010,21(73):36-44.
[13]KING G F.Evaluation of Safety Roadside Rest Areas[R].Washington D C:Transportation Research Board,1989.
[14]NUTT B.Motorway Way Services.A Deserving Case[J].Design,1974(301):74-79.
[15]BALAKRISHNAN J,CHENG C H,GONWAY D G.AHybrid Genetic Algorithm for the Dynamic Plant Layout Problem[J].International Journal of Production Economies,2003,86(2):107-120.
[16]廖锟.基于手机信令数据的出行特性分析[J].河北交通职业技术学院学报,2017(2):62-67.
[17]王利雷.基于手机信令数据的城市轨道交通客流出行信息提取方法研究[D].成都:西南交通大学,2018.
[18]章玉.基于手机信令的城市群通道出行特征提取方法研究[J].综合运输,2017,39(11):57-62.
[19]丘建栋.基于手机信令数据的居住和出行特征分析[J].数据挖掘,2018,8(4):162-173.
[20]刘艳林.基于移动数据的城市功能区特征模型的研究与应用[D].重庆:重庆邮电大学,2017.
[21]刘向云.京沪高速引入天津枢纽设计构想[J].铁道勘察,2014,39(3):88-90.
[22]王志洪.高速公路服务区存在的问题以及升级发展构想[J].山西建筑,2018,44(29):231-233.