MULTIMODAL CORRIDOR LEVEL-OF-SERVICE ANALYSIS

Document Type

Journal Article

Publication Date

2002

Subject Area

operations - capacity, operations - traffic, mode - mass transit, mode - bike, mode - pedestrian

Keywords

Transit Capacity and Quality of Service Manual, Transit, Traffic corridors, Public transit, Pedestrians, Multimodal transportation, Multimodal systems, Methodology, Methodologies, Mass transit, Local transit, Level of service, Highway corridors, Highway Capacity Manual, Florida, Case studies, Bicycles, Automobiles

Abstract

The 2000 release of the Highway Capacity Manual (HCM) provides for the first time a corridor analysis method that guides users in the application of various chapters of the HCM to the analysis of automobiles and transit in a corridor. Together with the recent publication of the Transit Capacity and Quality of Service Manual (TCQSM), the HCM 2000 represents a significant advance in the direction of multimodal level-of-service (LOS) analysis. However, relatively little guidance is given in either the HCM or the TCQSM on the compilation of automobile and transit segment levels of service into a measure of corridor level of service. In addition, bicycles and pedestrians are ignored in the corridor methodology. A methodology was developed and tested in Florida for measuring and reporting the user-perceived quality of service for highway corridors from a multimodal perspective. Automobile and transit LOS analyses are based on the HCM 2000 and TCQSM, respectively. Bicycle and pedestrian levels of service are based on the bicycle and pedestrian LOS models, respectively. Four classes of corridors are recommended, and the methodology was tested on two classes of urban corridors, with and without a freeway. The methodology is applied in three steps: (a) corridor definition, (b) computation of modal level of service, and (c) reporting of results. The methodology was applied to six case studies throughout Florida at generalized and conceptual planning levels. Conclusions about the methodology were drawn from the case studies; the main conclusion is that the methodology provided a reliable overall indicator of corridor level of service by mode.

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