A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg

This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resource allocations. The proposed model takes into account the stochastic nature of users' travel utility perception, resulting in a probabilistic stable operation cost allocation outcome to design ticket price and ridership forecasting. We applied the model for the operation policy evaluation of a microtransit service in Luxembourg and its border area. The methodology for the model parameters estimation and calibration is developed. The results provide useful insights for the operator and the government to improve the ridership of the service.Comment: arXiv admin note: substantial text overlap with arXiv:1912.0198

Changes in Transit Use and Service and Associated Changes in Driving Near a New Light Rail Transit Line, MTI Report 12-44

Los Angeles is pursuing possibly the most ambitious rail transit investment program in the nation with plans to open six new rail transit lines between now and 2019. The report provides policy makes and planners a better understanding of the potential impacts of Los Angeles Metro’s rail transit investment program by assessing the changes in transit use of nearby residents and nearby bus service associated with the Expo Line, the first of the six new lines. Our findings indicate that changes in bus service that are coincident with the introduction of new light rail transit can negatively affect the overall transit ridership in the corridor. In addition, we find that households living near new Expo Line light rail stations reduced their vehicle miles traveled (VMT), but those households living near bus stops that were eliminated as part of the service change increased their VMT

The Impact of Routing Option on Tangerang Bus Lane Corridor

The objective of this study is to analyze the impact of re-routing bus lane corridor on some performance indicators. The Tangerang Bus Lane is taken as a case study. The discussion is focused on comparison of service planning performance indicators such ridership, passenger-km, and bus-km. A primary survey on bus operational characteristics and user attitude is conducted. Prior to the analysis, some basic formula is derivedand modified and, then, performance indicators for both route option are estimated. The analysis is conducted by comparing the estimated indicators. The result shows that the alternative route gives better performance and yields to a need of re-evaluating the originally proposed route

CALIBRATING THE INTERCITY HIGH SPEED RAIL (HSR) CHOICE MODEL FOR THE RICHMOND-WASHINGTON, D.C. CORRIDOR

This study aims to quantitatively investigate how the introduction of high-speed rail (HSR) influences traveler’s choice behavior. The study focuses on recalibrating the Florida-based HSR choice model to fit the intercity travel northward from Richmond, Virginia to Washington, D.C. The model takes a nested logit formulation and includes a binary marginal choice submodel to project travel behavior between aggregate ground and individual air transportation modes, and a trinomial conditional mode choice model to examine the travel behavior patterns within three ground transportation submodes: auto, bus, and rail. The data collected is based upon the base year 2008 market conditions, and the recalibrated model is used to forecast the year 2014 HSR levels of service. Empirical results show that reduced travel cost and other impedance factors stand to increase utility for HSR, even though the auto will continue to be the dominant travel mode.high speed rail, nested logit model, mode choice, Richmond, Washington D.C.

Passenger Flows in Underground Railway Stations and Platforms, MTI Report 12-43

Urban rail systems are designed to carry large volumes of people into and out of major activity centers. As a result, the stations at these major activity centers are often crowded with boarding and alighting passengers, resulting in passenger inconvenience, delays, and at times danger. This study examines the planning and analysis of station passenger queuing and flows to offer rail transit station designers and transit system operators guidance on how to best accommodate and manage their rail passengers. The objectives of the study are to: 1) Understand the particular infrastructural, operational, behavioral, and spatial factors that affect and may constrain passenger queuing and flows in different types of rail transit stations; 2) Identify, compare, and evaluate practices for efficient, expedient, and safe passenger flows in different types of station environments and during typical (rush hour) and atypical (evacuations, station maintenance/ refurbishment) situations; and 3) Compile short-, medium-, and long-term recommendations for optimizing passenger flows in different station environments