Using parking pricing as a travel demand management tool at a university campus: an example for Istanbul Technical University

Tezcan, Hüseyin Onur

doi:10.3328/tl.2012.04.03.181-192

Cited by 12 publications

(11 citation statements)

References 28 publications

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“…According to the results, walking time was identified as the most influential factor in parking selection [15]. Tezcan [16] evaluated the effect of parking pricing on mode choice behavior in Ayazaga Campus of Istanbul Technical University. In this research, stated preferences and revealed preferences for willingness to pay have been extracted by providing different parking pricing scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…In this research, stated preferences and revealed preferences for willingness to pay have been extracted by providing different parking pricing scenarios. e results showed a significant shift from passenger cars to public transit if academicians are being charged for parking [16]. Proulx et al [17] assessed the impact of parking pricing and transit fares on mode choice behavior in University of California, Berkeley.…”

Section: Introductionmentioning

confidence: 99%

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Parking Demand vs Supply: An Optimization-Based Approach at a University Campus

Nadimi

Afsharipoor

Amiri

2021

Journal of Advanced Transportation

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Parking management has always been a major concern for universities and other activity centers. Nowadays, many universities are suffering from a lack of campus parking capacity. To tackle this problem, it is necessary to take parking lots assignment into consideration, regarding intercampus users’ needs. These users have different ages, physical characteristics, expectations, and administrative positions that should be considered before any parking assignment. Here, a new method is proposed to optimize parking lots management for those universities where staff (academic and administrative), in contrast to students, are allowed to park inside the campus area. For this purpose, first, the probability of using a specific parking lot by each group is determined. For staff, this is done based on their choices, revealed by the relative frequency of using parking lots. This probability for students can be calculated using a fuzzy inference system model. To develop the model, a survey is conducted to extract students’ preferences, regarding parking spaces assignment inside the campus area. Afterward, an integer linear programming model with the objective function of maximizing parking probability is employed, considering several related constraints. The proposed model is applied to Shahid Bahonar University of Kerman (SBUK), Iran, as the case study. According to the results, it can be concluded that the proposed method can help to reduce wandering time of finding an appropriate parking space for both staff and students. In addition, the proposed application can help increase the satisfaction level of staff and students with regard to parking management.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parking Demand vs Supply: An Optimization-Based Approach at a University Campus

Nadimi

Afsharipoor

Amiri

2021

Journal of Advanced Transportation

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“…Traffic demand management has been well recognized to be a more efficient tool for congestion mitigation, compared with the road construction (Yang, Huang 2005;. Together with parking pricing (Tezcan 2012), urban congestion-pricing is one of a few instruments for demand management, which can shift the demand from peak hour to other time (Do, Kobayashi 2000;Yang, Huang 2005). In the macroscopic transport network, it also changes the drivers' destination choice and/or route choice and prompts the usage of public transport, yielding an even and wise use of the road network .…”

Section: Introductionmentioning

confidence: 99%

Measuring the Public Acceptance of Urban Congestion-Pricing: A Survey in Melbourne (Australia)

2018

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The practical implementations of congestion-pricing are largely restricted, due to the low public acceptance level. Based on a field survey, this study reveals the public acceptance level in Melbourne, Australia. It was found that the level of acceptance for a new congestion-pricing scheme is 42%, which still needs to be improved if a congestion-pricing scheme is to be implemented. Some strategies are proposed and discussed to increase the acceptance level towards congestion charge in urban cities, including an information campaign, public transport improvements and a trial.

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“…Large percentages of commuters report that they would not change their commuting mode if parking charges were introduced or increased at their workplace or place of study [1,17]. However, results of other survey and interview studies have suggested that introducing or increasing parking charges has the potential to reduce single-occupant car travel to workplaces generally [17][18][19] and university campuses specifically [20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Do parking fees affect commuting choices of staff and students on a university campus?

Sargisson¹

2017

Int. J. TDI

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Many initiatives have been implemented in an attempt to reduce traffic congestion and to encourage more sustainable commuting choices, however, rarely has before-after research been undertaken to measure the effect of introduction of such initiatives on commuter attitudes or behaviour. The University of Waikato, New Zealand, introduced parking charges for approximately 14,000 staff and students on their main campus in 2016, but not on a satellite campus in another city. A multimethod approach including questionnaires, naturalistic observation and photo-voice methodologies was used to assess the impact of parking fees on commuting attitudes and behaviour of staff and students. The heavy reliance on car travel was undiminished after the introduction of parking fees. Commuters still arrived by car, but more parked off-campus or became willing to pay parking fees after they were introduced. There was no increase in bus travel or cycling after the introduction of parking fees. Strategies to decrease car commuting to university campuses include higher parking charges, removing any ability to pay in advance for parking, reducing the availability of free parking nearby, subsidizing bus travel for staff and students, improving cycle and pedestrian access and related facilities, promoting the health benefits of active transport, policies that encourage students to spend more time on campus, ensuring that bus schedules align with lecture times and provision of student housing on or near campus.

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Using parking pricing as a travel demand management tool at a university campus: an example for Istanbul Technical University

Cited by 12 publications

References 28 publications

Parking Demand vs Supply: An Optimization-Based Approach at a University Campus

Parking Demand vs Supply: An Optimization-Based Approach at a University Campus

Measuring the Public Acceptance of Urban Congestion-Pricing: A Survey in Melbourne (Australia)

Do parking fees affect commuting choices of staff and students on a university campus?

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