Dissecting the Role of Transit Service Attributes in Attracting Commuters
Ahmed Osman Idris, Khandker Nurul Habib, Amer Shalaby
Abstract
Ahmed Osman Idris, Khandker Nurul Habib, Amer Shalaby
Abstract
An investigation on the influence of transit service attributes on mode switching toward local transit for home-based commuting trips involved the design, implementation, and analysis of a Commuting Survey for Mode Shift. This survey exploits revealed preference mode choice information to build the stated preference mode switching experiments. The collected data set was used for estimating econometric choice models of mode switching toward transit. Separate models were estimated for car drivers and shared ride users. The empirical models showed that travel cost and in-vehicle travel time were of lower importance compared with other transit level-of-service attributes such as crowding level and number of transfers. That commuters prefer rail-based transit modes (e.g., subway and light rail transit) to other transit options (e.g., bus rapid transit) was evident. The developed models can enrich the transit service planning toolbox for delivering more efficient and attractive services that maximize transit ridership along with other objectives.
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An investigation on the influence of transit service attributes on mode switching toward local transit for home-based commuting trips involved the design, implementation, and analysis of a Commuting Survey for Mode Shift. This survey exploits revealed preference mode choice information to build the stated preference mode switching experiments. The collected data set was used for estimating econometric choice models of mode switching toward transit. Separate models were estimated for car drivers and shared ride users. The empirical models showed that travel cost and in-vehicle travel time were of lower importance compared with other transit level-of-service attributes such as crowding level and number of transfers. That commuters prefer rail-based transit modes (e.g., subway and light rail transit) to other transit options (e.g., bus rapid transit) was evident. The developed models can enrich the transit service planning toolbox for delivering more efficient and attractive services that maximize transit ridership along with other objectives.
Key concepts: Transport engineering, Transit (satellite), Mode choice, Revealed preference, Service (business), Public transport, Mode (computer interface), TRIPS architecture