LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION

Bandung City is developing rail-based transportation to overcome the problematic factors of road traffic transportation (e.g. social, environmental, urban growth, and road traffic load), which is known as Metro Kapsul (a type of LRT). This study has objectives to construct the system dynamic model o...

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Main Author: Darmawan (29016017), Rony
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30680
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30680
spelling id-itb.:306802018-07-02T14:14:50ZLRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION Darmawan (29016017), Rony Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30680 Bandung City is developing rail-based transportation to overcome the problematic factors of road traffic transportation (e.g. social, environmental, urban growth, and road traffic load), which is known as Metro Kapsul (a type of LRT). This study has objectives to construct the system dynamic model of LRT passenger demand in Bandung Station, forecast the passenger demand, and its behaviour. Urban passenger transportation system is the complex socio-economic system. The limitation of qualitative and quantitative research solely can be overcome by system dynamic method. System Dynamic approach is able to construct the model and describe interrelationship among variables. The data is gathered by using questionnaire and secondary data. After the model is validated and verified, the simulation result on three scenarios (optimistic, moderate, and pessimistic) shows that annual passenger demand in Bandung Station grows positively and the demand growth gradually decreases. The optimistic scenario has significant annual passenger demand than two others. The demand growth is more stable even gradually decrease. The result of the study suggests that the interval time of each departure is within 3-10 minutes. The increment of LRT passenger demand has decreased the road traffic load which affects the road transportation turnover becomes steady, the government policy is required to set the balancing the ridership of road and rail transportation. This research contributes to provide rail transit passenger demand by using System Dynamic approach and assist the business development for LRT stakeholder as the consideration in the future. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Bandung City is developing rail-based transportation to overcome the problematic factors of road traffic transportation (e.g. social, environmental, urban growth, and road traffic load), which is known as Metro Kapsul (a type of LRT). This study has objectives to construct the system dynamic model of LRT passenger demand in Bandung Station, forecast the passenger demand, and its behaviour. Urban passenger transportation system is the complex socio-economic system. The limitation of qualitative and quantitative research solely can be overcome by system dynamic method. System Dynamic approach is able to construct the model and describe interrelationship among variables. The data is gathered by using questionnaire and secondary data. After the model is validated and verified, the simulation result on three scenarios (optimistic, moderate, and pessimistic) shows that annual passenger demand in Bandung Station grows positively and the demand growth gradually decreases. The optimistic scenario has significant annual passenger demand than two others. The demand growth is more stable even gradually decrease. The result of the study suggests that the interval time of each departure is within 3-10 minutes. The increment of LRT passenger demand has decreased the road traffic load which affects the road transportation turnover becomes steady, the government policy is required to set the balancing the ridership of road and rail transportation. This research contributes to provide rail transit passenger demand by using System Dynamic approach and assist the business development for LRT stakeholder as the consideration in the future.
format Theses
author Darmawan (29016017), Rony
spellingShingle Darmawan (29016017), Rony
LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION
author_facet Darmawan (29016017), Rony
author_sort Darmawan (29016017), Rony
title LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION
title_short LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION
title_full LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION
title_fullStr LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION
title_full_unstemmed LRT PASSENGER DEMAND FORECASTING USING SYSTEM DYNAMICS: CASE STUDY OF METRO KAPSUL IN BANDUNG STATION
title_sort lrt passenger demand forecasting using system dynamics: case study of metro kapsul in bandung station
url https://digilib.itb.ac.id/gdl/view/30680
_version_ 1821995829896937472