基于客流大数据的广深港高铁光明城站捷运班次优化建议  

Suggestions on Optimizing the Schedule of Guangming City Station of Guangzhou-Hong Kong High-Speed Railway Based on Passenger Flow Big Data

作　　者：邱俊兴 王检亮 吴铭涛 

机构地区：[1]广州市交通规划研究院有限公司 [2]深圳市城市交通规划设计研究中心股份有限公司

出　　处：《交通与港航》2022年第5期56-61,共6页Communication & Shipping

摘　　要：2020年国家发文明确支持利用既有铁路富余能力开行市域(郊)列车,深圳市光明区早在2017年便开展了相关探索,光明区与广铁集团签订协议,每天增加11趟高铁通过列车停靠光明城站,为市民前往市中心区提供捷运便利。但近两年光明区对外交通显著改善,需要重新评估其必要性。基于客流大数据分析了光明区对外客流特征,评估了高铁捷运班次的客流及经济效益,通过建立客流模型,预测了未来光明区对外客流发展趋势,并对高铁捷运班次提出了优化建议。In 2020,the state issued a document clearly supporting the use of the surplus capacity of the existing railway to operate municipal(suburban)trains.Guangming District of Shenzhen carried out relevant exploration as early as 2017.Guangming district signed an agreement with Guangzhou Railway Group to increase 11 high-speed trains to stop at Guangming city station every day,so as to provide convenience for citizens to go to the downtown area.However,the external traffic of Guangming district has improved significantly in the past two years,and its necessity needs to be reassessed.Based on the passenger flow big data,this paper analyzes the external passenger flow characteristics of Guangming District,evaluates the passenger flow and economic benefits of high-speed rail rapid transit,establishes a passenger flow model,forecasts the development trend of Guangming external passenger flow in the future,and puts forward optimization suggestions for high-speed rail rapid transit.

关 键 词：客流大数据 广深港高铁 市郊列车 优化建议 

分 类 号：U292[交通运输工程—交通运输规划与管理]