DocumentCode :
2902277
Title :
Demand modeling of innovative transport system PRT at the Rotterdam port area
Author :
Li, Hao ; Chen, Yusen ; Li, Jie ; Van Zuylen, Henk J. ; Van Arem, Bart
Author_Institution :
Delft Univ. of Technol., Delft, Netherlands
fYear :
2010
fDate :
19-22 Sept. 2010
Firstpage :
137
Lastpage :
142
Abstract :
Demand modeling for a newly built transit system is a major issue for the feasibility study. The complexity for such demand modeling stems from the complicated multi-modal trip making by travelers. This paper proposes to build an innovative transit system PRT in the east port area of Rotterdam to improve the efficiency of the existing public transport services and to enhance the accessibility to this part of the port area. This paper presents the principles for the design of the PRT alignment in the studied area. A stated preference (SP) survey is conducted to investigate traveler´s response to the new PRT system. This paper develops a methodology and framework specifically for deriving the PRT station-to-station demand matrix considering the multi-modal trips. The results show the potential applicability of PRT as the complement to the existing public transport system and the promising effects of implementing PRT on alleviating congestions on motorways, reducing emissions and fuel consumptions, enhancing the efficiency of existing public transport services, etc.
Keywords :
rail traffic; rapid transit systems; traffic engineering computing; PRT innovative transport system; Rotterdam port area; demand modeling; personal rapid transit system; public transport system; stated preference survey; station-to-station demand matrix; Analytical models; Cities and towns; Delay; Estimation; Fuels; Legged locomotion; Meteorology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
Conference_Location :
Funchal
ISSN :
2153-0009
Print_ISBN :
978-1-4244-7657-2
Type :
conf
DOI :
10.1109/ITSC.2010.5625147
Filename :
5625147
Link To Document :
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