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Analysis of bus travel characteristics and predictions of elderly passenger flow based on smart card data

  • 【获取途径】 OA资源
  • 【作者】Gang Cheng,Changliang He
  • 【作者单位】11. College of Engineering, Tibet University, Lhasa 850000, China3. Center of Tibetan Studies (Everest Research Institute), Tibet University, Lhasa 850000, China;22. College of Information Science and Technology, Tibet University, Lhasa 850000, China 3. Center of Tibetan Studies (Everest Research Institute), Tibet University, Lhasa 850000, China
  • 【年份】2022
  • 【卷号】Vol.30 No.12
  • 【页码】4256-4276
  • 【关键词】elderly travel bus passenger flow stsc-sarima model spatiotemporal characteristics passenger demand passenger flow forecast 
  • 【摘要】 Preferential public transport policies provide an important social welfare support for travel by the elderly. However, the travel problems faced by the elderly, such as traffic congestion during peak hours, have not attracted enough attention from tr...
  • 【文献类型】 期刊
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