A STOCHASTIC TRANSIT ASSIGNMENT MODEL CONSIDERING DIFFERENCES IN PASSENGERS UTILITY FUNCTIONS
operations - traffic, planning - route design, ridership - commuting, place - urban, mode - mass transit
Urban transportation, Urban transit, Travel time, Transit, Traffic models, Traffic characteristics, Traffic assignment, Stochastic processes, Route selection, Route choice, Random processes, Public transit, Probits, Probit models, Passenger transportation, Networks, Mass transit, Local transit, Journey time, Intracity transportation, Choice models
This paper presents a framework for public traffic assignment that builds on an earlier probit-based model (Sheffi and Powell, 1981). Hereby, the problems with overlapping routes that occur in many public transport models can be avoided. The probit-based model with modifications similar to the principles in Nielsen (1996) is used as a starting point. This makes it possible to describe passengers' different preferences toward different sub modes and against transfers, and also considers dependencies of choices through chains of sub modes. The simulation of perceived travel times is extended to describe differences in the distribution of travel and waiting times for different sub modes. Parallel lines are frequency aggregated in order to handle waiting times appropriately. Initial tests on a full-scale case show that the methodology can describe route choices in public transport very well. The paper concludes by presenting proposals to coefficients based on a Danish SP-analysis, demonstrating the applicability of the method.
Nielsen, O, (2000). A STOCHASTIC TRANSIT ASSIGNMENT MODEL CONSIDERING DIFFERENCES IN PASSENGERS UTILITY FUNCTIONS. Transportation Research Part B: Methodological, Volume 34, Issue 5, p. 377-402.