An empirical study on the stochastic long-term travel demands of a large-scale metro network  

作　　者：Sen Huang Xiangdong Xu Yichao Pu 

机构地区：[1]The Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,4800 Caoan Rd,Shanghai 201804,China [2]Shanghai Shentong Metro Group,909 Guilin Rd,Shanghai 201103,China

出　　处：《International Journal of Transportation Science and Technology》2024年第4期244-259,共16页交通科学与技术(英文)

基　　金：sponsored by the National Natural Science Foundation of China(No.72021002);the Fundamental Research Funds for the Central Universities of China.

摘　　要：The widely-existed uncertainty of origin-destination(OD)demand in transportation networks has attracted extensive attention.Most characterizations or models of stochastic OD demands in networks assume a homogenous probability distribution,though empirical studies are lacking of large-scale networks to justify this assumption.Given that the longterm continuous automatic fare collection(AFC)data of metro networks can provide complete OD passenger demand information,this study takes the Shanghai metro network as an example to empirically examine the stochasticity characteristics of OD passenger demands of metro network.Based on the morning peak OD demand data for 250 weekdays,a local outlier factor(LOF)method is used to identify and remove outliers in the data.A clustering method is used to cluster the OD pairs,study the fluctuation and distribution characteristics of the OD passenger demands,and select the optimal distribution type through goodness-of-fit indices.The results show that 1)the coefficients of variation of morning peak OD demands in the network are mainly distributed in the range of 0.2-0.6,different OD pairs have different fluctuations,and the degree of demand fluctuation decreases as the mean increases;2)the probability distribution types of OD demands based on statistical characteristics are heterogeneous;and 3)the optimal distribution type of OD demands is Poisson,lognormal/Gamma,and normal for OD pairs characterized by a small mean and right-skewness,a small mean and skewness close to 0,and a large mean,respectively.In contrast to the simple average-based data processing of OD passenger demand in metro networks,this paper presents a new perspective of mining long-term continuous data to understand the inherent stochasticity of OD passenger demands.The results can provide more realistic and practical inputs and assumptions for theoretical research on stochastic OD demands in metro networks.

关 键 词：Metro network Origin-destination(OD)demand matrix Demand stochasticity HETEROGENEITY Automatic fare collection(AFC) 

分 类 号：TN9[电子电信—信息与通信工程]