Open AccessProposed Methodology to Investigate the Metro Operation, Socio-Economic Impact, and its Revenue Using Automatic Ticket Machine Outputs
Author(s) -
Mai Moaz Eldeeb,
Akram soltan kotb,
H.S. Riad,
Mohamed Ashour
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1362.0981119
Subject(s) - ticket , revenue , doors , metro station , computer science , transport engineering , operations research , engineering , computer network , business , accounting , operating system
Automatic Ticket Machine outputs give the daily passengers’ traffic which entry from any station to exit to all stations in alphabetic arrangements. To utilize these important data for analyzing the phenomena and concluding the important predicted recommendations, a methodology was proposed within the present research paper. This method has the advantage to determine the O-D matrix for the metro passengers using its networks. The proposed methodology can be applicable to analyze, investigate, and predict the metro passenger traffic under different scenarios. To make Automatic Ticket Machine outputs in practices change the Entry- Exit Matrix from alphabetic arrangements into arranged Entry- Exit Matrix according to successive stations. The obtained results concluded the actual operation system on the platform, within the metro doors and into metro cars. In addition to investigate the socio-economic impact for metro stations finally, the corresponding revenue by applying different scenarios for every zone can be predicted.