The University of California, Berkeley, and the City of Berkeley sought to reduce single-occupancy-vehicle commute trips to the campus as a means to reduce negative transportation externalities and to fulfill their environmental emissions reduction goals. This paper reports on the evaluation of policy scenarios to assess the potential impact of parking pricing and transit fare subsidies on the overall mode share of the University of California, Berkeley, community. A mode and parking choice model was developed on the basis of a biennial campuswide transportation and housing survey; policy alternatives were tested with a sample enumeration. The discrete choice model selected for policy analysis was a nested logit model calibrated on a randomly selected subsample of n 5 3,371 individuals and validated against the remaining 814 campus commuters. Factors found to influence mode choice significantly in this model included travel times and costs, gender, student status, age older than 70, and home location topography. Campus affiliates also appeared to have a predisposition to walk, which likely reflected the large student population that lived close to campus. A drive-alone value of time of approximately $30 per hour was calculated. Policy scenario tests suggested that, to spur a significant mode shift away from that of driving alone, parking pricing reforms would need to be used in tandem with incentives to use alternative modes. Such an approach might garner additional political support, especially if commuters who drove alone received the indirect benefits of transit subsidies, such as reduced congestion and a less competitive parking market. Policies designed to mitigate the regressive impacts of parking fees were tested also.


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    Title :

    Impact of Parking Prices and Transit Fares on Mode Choice at the University of California, Berkeley


    Additional title:

    Transportation Research Record




    Publication date :

    2019-04-04




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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