Master equation approach to the intra-urban passenger flow and application to the Metropolitan Seoul Subway system
arXiv:1104.0368 · doi:10.1088/1751-8113/44/11/115007
Abstract
The master equation approach is proposed to describe the evolution of passengers in a subway system. With the transition rate constructed from simple geographical consideration, the evolution equation for the distribution of subway passengers is found to bear skew distributions including log-normal, Weibull, and power-law distributions. This approach is then applied to the Metropolitan Seoul Subway system: Analysis of the trip data of all passengers in a day reveals that the data in most cases fit well to the log-normal distributions. Implications of the results are also discussed.
arXiv comment16 pages, 7 figures and 2 tables
References in corpus (9)
- Emergence of scaling in random networks
- The architecture of complex weighted networks
- Classes of behavior of small-world networks
- Weighted Evolving Networks
- Empirical analysis of the worldwide maritime transportation network
- Crossover from Scale-Free to Spatial Networks
- Random planar graphs and the London street network
- Statistical Analysis of the Metropolitan Seoul Subway System: Network Structure and Passenger Flows
- Emergence of skew distributions in controlled growth processes