The study aims to evaluate the role of travel demand forecasting in establishing local public transport routes in Apalit, Pampanga. The study was conducted using a quantitative approach, a four-step modeling process, in which the researcher’s collected data from the PSA and other Local government units and used the 1 percent of the total households in the study, which is 273 households, to analyze the trip distribution and trip generation of Apalit, Pampanga. The results of this study show that every five years from 2023 up to 20 years from now, the year 2043 that the threshold from trip attraction and distribution from every zone is less than 1, which means traffic congestion will not be present. However, nearly all of the participants said that the construction of roads is a major factor in the heavy traffic in Apalit, Pampanga.
IRE Journals:
James Neil M. Dela Cruz , Aaron S. Pascual; Isaiah Jim M. Pineda , Allysha Keith Y. Galliguez; Ruzel Q. Tuazon , Calvine Jane S. Aguilar; Mark Jonas L. Hipolito , Rommel C. de Mesa; Aaron S. Malonzo
"Travel Demand Forecasting: A Basis for Local Public Transport Route Plan in Apalit, Pampanga" Iconic Research And Engineering Journals Volume 6 Issue 12 2023 Page 871-904
IEEE:
James Neil M. Dela Cruz , Aaron S. Pascual; Isaiah Jim M. Pineda , Allysha Keith Y. Galliguez; Ruzel Q. Tuazon , Calvine Jane S. Aguilar; Mark Jonas L. Hipolito , Rommel C. de Mesa; Aaron S. Malonzo
"Travel Demand Forecasting: A Basis for Local Public Transport Route Plan in Apalit, Pampanga" Iconic Research And Engineering Journals, 6(12)