To relieve traffic congestion in urban rail transit stations,a new identification method of crowded passenger flow based on automatic fare collection data is proposed.First,passenger travel characteristics are analyze...To relieve traffic congestion in urban rail transit stations,a new identification method of crowded passenger flow based on automatic fare collection data is proposed.First,passenger travel characteristics are analyzed by observing the temporal distribution of inflow passengers each hour and the spatial distribution concerning cross-section passenger flow.Secondly,the identification method of crowded passenger flow is proposed to calculate the threshold via the probability density function fitted by Matlab and classify the early-warning situation based on the threshold obtained.Finally,a case study of Xinjiekou station is conducted to prove the validity and practicability of the proposed method.Compared to the traditional methods,the proposed comprehensive method can remove defects such as efficiency and delay.Furthermore,the proposed method is suitable for other rail transit companies equipped with automatic fare collection systems.展开更多
Using Capital Asset Pricing Model Integrating both Firm and Market (CAPMIFM), we first decompose the asset return into two components. One is called the fundamental return, which is related to the intrinsic value of t...Using Capital Asset Pricing Model Integrating both Firm and Market (CAPMIFM), we first decompose the asset return into two components. One is called the fundamental return, which is related to the intrinsic value of the asset. The other is called bubble return, which is derived from the asset bubbles. Then a stock bubble return model based on cumulative return is proposed. The model exhibits characterizing log-periodic oscillations and a power law acceleration of the cumulative return. Empirical results suggest that the model has a good fit for the bubbles of China stock market.展开更多
基金The National Key Research and Development Program of China(No.2016YFE0206800)
文摘To relieve traffic congestion in urban rail transit stations,a new identification method of crowded passenger flow based on automatic fare collection data is proposed.First,passenger travel characteristics are analyzed by observing the temporal distribution of inflow passengers each hour and the spatial distribution concerning cross-section passenger flow.Secondly,the identification method of crowded passenger flow is proposed to calculate the threshold via the probability density function fitted by Matlab and classify the early-warning situation based on the threshold obtained.Finally,a case study of Xinjiekou station is conducted to prove the validity and practicability of the proposed method.Compared to the traditional methods,the proposed comprehensive method can remove defects such as efficiency and delay.Furthermore,the proposed method is suitable for other rail transit companies equipped with automatic fare collection systems.
基金Supported by National Natural Science Foundation of China(No.70331001)
文摘Using Capital Asset Pricing Model Integrating both Firm and Market (CAPMIFM), we first decompose the asset return into two components. One is called the fundamental return, which is related to the intrinsic value of the asset. The other is called bubble return, which is derived from the asset bubbles. Then a stock bubble return model based on cumulative return is proposed. The model exhibits characterizing log-periodic oscillations and a power law acceleration of the cumulative return. Empirical results suggest that the model has a good fit for the bubbles of China stock market.
