Methods for Analyzing Passenger Flows During Train Traffic Disruption Using Accumulated Passenger Data

Autor:	Taketoshi Kunimatsu, Chikara Hirai
Rok vydání:	2014
Předmět:	Transport engineering Engineering business.industry Mechanical Engineering business Visualization
Zdroj:	Quarterly Report of RTRI. 55:86-90
ISSN:	1880-1765 0033-9008
DOI:	10.2219/rtriqr.55.86
Popis:	When rescheduling train traffic after an operational disruption, train operation companies endeavor to take passenger flows into account. In this paper, a method was developed utilizing accumulated passenger data and records of arrival and departure times of each train to estimate passenger flows in such situations. The first step was to devise a visualization method to understand the relationship between rescheduling arrangements and passenger flows. Multiple regression analysis was also applied to collected data from the previous twelve months in order to develop a model for estimating passenger flows during traffic disruption. The methods are verified by applying them to actual cases of train traffic disturbances, which confirmed their reliability and effectiveness.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::afd8dac61afdc5ee91585ba0c5f40508 https://doi.org/10.2219/rtriqr.55.86 Zobrazit plný text záznamu