Abstract:Many university campuses are suffering from serious mobility problems resulting from excessive use of the private car by students, teachers and administrative staff. This article proposes a methodology based on a revealed and stated preferences survey aimed at estimating the importance of different variables on users mobility choices in order to simulate their reaction to policies such as the introduction of new modes of transport or charging for on campus parking. This estimation was based on a Mixed Logit mo… Show more
“…The proposed LOS criteria for parking search time, in the same format as the Highway Capacity Manual ( 5 ), are shown in Table 4. The maximum acceptable search time was found to be 15 min, beyond which the LOS is F. In two separate studies, Moradkhany et al ( 31 ) and dell’Olio et al ( 32 ) assumed the maximum parking search time was 15 min, which was consistent with the finding in the present study.…”
University campuses generate large volumes of traffic, with students forming the largest user class with distinctive trip characteristics. This study examined the parking choices of students at a large urban campus. A student survey was conducted with 1,022 respondents to collect data on students’ parking behavior, intelligent transportation systems (ITS) needs, and level of service (LOS) expectations. The survey results included home-to-campus mode choices, arrival time buffers, parking locations, “last-mile” mode choices, and factors that influence the type of permit to purchase. Online permit sales, flexible parking zones, and real-time parking lot availability information were the three most preferred ITS enabled services. Using the survey feedback, new LOS criteria for parking search time are proposed, which range from up to 2 min for LOS A, to longer than 15 min for LOS F. This research makes several contributions. The survey results not only contribute to a better understanding of student transportation choices and parking patterns on campus, but the list of preferred ITS enabled services also gives the university valuable user feedback on where to improve the campus parking experience. More importantly, the LOS criteria for parking search time provides a new tool for traffic engineers to measure the quality of service of a parking facility. Although the survey was conducted on a particular campus, information gathered for the ITS enabled services for parking and LOS criteria for parking search time are likely to be transferable to other university campuses.
“…The proposed LOS criteria for parking search time, in the same format as the Highway Capacity Manual ( 5 ), are shown in Table 4. The maximum acceptable search time was found to be 15 min, beyond which the LOS is F. In two separate studies, Moradkhany et al ( 31 ) and dell’Olio et al ( 32 ) assumed the maximum parking search time was 15 min, which was consistent with the finding in the present study.…”
University campuses generate large volumes of traffic, with students forming the largest user class with distinctive trip characteristics. This study examined the parking choices of students at a large urban campus. A student survey was conducted with 1,022 respondents to collect data on students’ parking behavior, intelligent transportation systems (ITS) needs, and level of service (LOS) expectations. The survey results included home-to-campus mode choices, arrival time buffers, parking locations, “last-mile” mode choices, and factors that influence the type of permit to purchase. Online permit sales, flexible parking zones, and real-time parking lot availability information were the three most preferred ITS enabled services. Using the survey feedback, new LOS criteria for parking search time are proposed, which range from up to 2 min for LOS A, to longer than 15 min for LOS F. This research makes several contributions. The survey results not only contribute to a better understanding of student transportation choices and parking patterns on campus, but the list of preferred ITS enabled services also gives the university valuable user feedback on where to improve the campus parking experience. More importantly, the LOS criteria for parking search time provides a new tool for traffic engineers to measure the quality of service of a parking facility. Although the survey was conducted on a particular campus, information gathered for the ITS enabled services for parking and LOS criteria for parking search time are likely to be transferable to other university campuses.
“…Dans le cas spécifique des campus, les recherches identifient souvent une forte dépendance à la voiture (Cattaneo et al, 2018 ;Choplin et Delage, 2011 ;dell'Olio et al, 2019 ;Melia et Clark, 2018 ;Tolley, 1996), qui est d'autant plus prégnante lorsqu'ils sont éloignés du centre-ville (Vale et al, 2018). Des divergences apparaissent au sein des communautés universitaires.…”
Section: Les Choix Modaux à Destination Des Campusunclassified
“…Ce dernier point ouvre la discussion sur l'offre de transport des campus et les politiques afférentes. (Cattaneo et al, 2018 ;dell'Olio et al, 2019 ;Melia et Clark, 2018 ;Tolley, 1996). La promotion de moyens alternatifs se heurte alors au manque d'aménagements dédiés, à l'absence de reconnaissance des mobilités actives et à la durée plus longue des déplacements en transports en commun (Miralles-Guasch et Domene, 2010).…”
Section: Les Choix Modaux à Destination Des Campusunclassified
“…At the beginning of the survey, individuals were faced with a stated preference experiment in a choice context in which drivers who do not share their car will be charged. According to our literature review, charging for on-campus parking appears to be a key policy that could change the travel patterns of car users and increase the utility of using alternative transportation modes (dell'Olio et al, 2018). Furthermore, the strategy of proposing changes in parking pricing has been used successfully in stated preference surveys to assess the participants' responsiveness to shifting transportation towards sustainable modes (e.g., Riggs, 2014 Currently, the UPTC main campus subsidizes parking by providing it at no charge.…”
This paper studies the willingness to change car use when commuting to a university campus. We estimated a hybrid discrete choice (HDC) model to test the hypothesis that, in addition to traditional tangible attributes, the willingness to change car use to more sustainable transportation modes also depends on the pro-environmental attitude and the perceived convenience of each transportation alternative. We found that teachers have better pro-environmental attitudes than students and administrative staff, but senior individuals and people who own an above-average priced car have negative effects on this attitude. We concluded that in addition to car ownership, the price of a car is also a decisive factor in the willingness to change car use. On-campus parking fees were identified as a key variable for reducing car use when commuting to campus and for financing more sustainable transportation modes. This paper contributes to the literature on sustainable mobility on university campuses and is the first based on an HDC modeling approach that integrates tangible attributes and latent variables into this context.
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