New methodology for optimizing transit priority at the network level

A new methodology for optimizing transit road space priority at the network level is proposed. Transit vehicles carry large numbers of passengers within congested road space efficiently. This aids justification of transit priority. Almost all studies that have investigated transit priority lanes focus at a link or an arterial road level, and no study has investigated road space allocation for priority from a network perspective. The aim of the proposed approach is to find the optimum combination of exclusive lanes in an existing operational transport network. Mode share is assumed variable, and an assignment is performed for both private and transit traffic. The problem is formulated by using bilevel programming, which minimizes the total travel time. The approach is applied to an example network and the results are discussed. The approach can identify the optimal combination of transit priority lanes and achieve the global optimum of the objective function. Areas for further development are discussed

HEURISTIC ANALYSIS OF IMPACTS OF COMMUTER RAIL STATION CONSOLIDATION ON PEDESTRIAN ACCESS

A mode-of-station-access survey at the Milwaukee District North Line Grayland and Mayfair Stations in Chicago is described. The study was conducted to determine the impacts of consolidating these two stations into a single new station. Patterns of different station access modes were studied. The analysis focused on the most sensitive market segment--walkers. Two different methods were used to determine how current walkers would be affected by such a station change. The first estimate was based on changes in walking distances. A heuristic procedure was developed to estimate the number of walkers currently using the system who would possibly walk to the proposed new station. This estimate assumed that stations would attract walkers from a circular area referred to as the catchment area. The average walking distance to each station determined its catchment area size. Further assumptions were made to predict those walkers who were not currently in the catchment areas but who would decide to walk to the new station. This study provides intuitive results and methodology that show promise for use in similar situations