摘要
为推进水路客运市场转型升级,协调客运需求与疏运能力,基于普陀山水路客运实际情况,分析客运航线承载力的逻辑框架,确立承载力计算数学模型。通过优化码头作业流程,模拟最大靠离泊次数,确定码头极限承载力;结合船期表,计算船舶饱和数量,确定船舶经济承载力;考虑乘客候船面积和候船时间因素,创新提出舒适因子,优化船舶运输周期,确定乘客舒适承载力。模拟结果表明:高峰期客运量已逼近码头极限承载力,超过船舶经济承载力,远高于乘客舒适承载力,普陀山水路客运供给矛盾亟待优化调控。研究可为客运行业评判最大承载力提供技术支撑,为市场主体有序管理、经营提供决策参考。
To promote the transformation and upgrading of waterway passenger transport market and coordinate the passenger transport demand and distribution capacity,the carrying capacity logical framework of passenger transport waterways is analyzed and a mathematical model for calculating the carrying capacity is established based on the actual status of Mount Putuo waterway passenger transport.The extreme carrying capacity of terminals can be derived by optimizing the operation process of terminals and simulating the maximum berthing times.Combined with shipping schedule,the ship economic carrying capacity can be derived by calculating the saturated quantity of ships.Considering the factors of waiting area and waiting time of passengers,a comfort factor is added innovatively to calculate the passenger comfort carrying capacity and optimize the ship transport cycle.Simulation results show that the passenger flow is approaching the extreme carrying capacity of terminals during the peak time,exceeding the ship economic carrying capacity,and far more than the passenger comfort carrying capacity.The contradiction between demand and supply of Mount Putuo waterway passenger transport needs to be optimized and controlled urgently.The research can provide technical support for the passenger transport industry to judge the maximum carrying capacity,and provide decision-making reference for the orderly management and operation of the main body of the market.
作者
高嵩
刘畅
GAO Song;LIU Chang(China Waterborne Transport Research Institute,Ministry of Transport,Beijing 100088,China)
出处
《上海海事大学学报》
北大核心
2020年第2期27-32,共6页
Journal of Shanghai Maritime University
基金
2019年舟山港海通客运有限责任公司委托项目(WTI-71955)。
关键词
水路客运
航线承载力
码头疏运能力
配船数量
乘客舒适度
大客流
waterway passenger transport
waterway carrying capacity
terminal distributing capacity
number of ships allocated
passenger comfort
large passenger flow
