TY - GEN
T1 - Forecasting People’s Influx on Mexico City Metrobus Line 1 Using a Fractal Analysis
AU - Avalos-Bravo, Vladimir
AU - Arellano, Chadwick Carreto
AU - Pérez, Diego Alfredo Padilla
AU - Cruz, Macario Hernández
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Metrobus Line 1 user’s influx has increased significantly year by year since its operations beginning at 2005, the amount of Metrobus users increase day by day in every line, even with new routes and most BRT unit, it menas that Metrobus system has not a prospective model to determine the amount of users that the system will have every month and with this information, stablish an improvement planning to avoid user’s delays. This paper presents a fractal analysis of Metrobus line 1 users influx as a forecast model that allows us to know the people increase and the impact it will have in the future to help in the decision making process with an ARFIMA model to predict Metrobus Line 1 user’s monthly influx for every month during years 2020, 2021 and 2022, analyzing their behavior Metrobus line 1 infrastructure planning including rides, stations extension and user’s limit can be improved.
AB - Metrobus Line 1 user’s influx has increased significantly year by year since its operations beginning at 2005, the amount of Metrobus users increase day by day in every line, even with new routes and most BRT unit, it menas that Metrobus system has not a prospective model to determine the amount of users that the system will have every month and with this information, stablish an improvement planning to avoid user’s delays. This paper presents a fractal analysis of Metrobus line 1 users influx as a forecast model that allows us to know the people increase and the impact it will have in the future to help in the decision making process with an ARFIMA model to predict Metrobus Line 1 user’s monthly influx for every month during years 2020, 2021 and 2022, analyzing their behavior Metrobus line 1 infrastructure planning including rides, stations extension and user’s limit can be improved.
KW - ARFIMA
KW - BRT
KW - Forecast
KW - Fractals
KW - Mexico City
UR - http://www.scopus.com/inward/record.url?scp=85092175707&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59872-3_7
DO - 10.1007/978-3-030-59872-3_7
M3 - Contribución a la conferencia
AN - SCOPUS:85092175707
SN - 9783030598716
T3 - Communications in Computer and Information Science
SP - 92
EP - 105
BT - GIS LATAM - 1st Conference, GIS LATAM 2020, Proceedings
A2 - Mata-Rivera, Miguel Felix
A2 - Zagal-Flores, Roberto
A2 - Arellano Verdejo, Javier
A2 - Lazcano Hernandez, Hugo Enrique
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st GIS LATAM Conference, GIS LATAM 2020
Y2 - 28 September 2020 through 30 September 2020
ER -