Evaluating parking reservation policy in urban areas: An environmental perspective

Tsai, Mei-Ting; Chu, Chih‐Peng

doi:10.1016/j.trd.2011.10.006

Cited by 42 publications

(17 citation statements)

References 3 publications

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“…where U r bpc (m) represents the disutility of vehicle c reserving parking lot p from intersection b at iteration m, t bp (m) is the shortest travel time from the current intersection b to parking lot p at iteration m obtained using Dijkstra's algorithm [25], d pd is the walking distance from parking lot p to destination d, t search p is the estimated cruising time [26], f r (m) and f p (m) are the reservation and parking fees at iteration m, respectively, ξ is a random term, and a 1 , a 2 , a 3 , a 5 , a 6 , and a 7 are all negative coefficients.…”

Section: Vehicle Agent Generationmentioning

confidence: 99%

Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis

et al. 2020

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Parking demand exceeding parking supply and uneven parking demand distribution are the existing conflicts in city centers. Parking pricing is frequently utilized to manage parking resources. This study aims to assess different parking pricing strategies through simulations for providing operational suggestions for urban parking managers. Two widely used parking pricing strategies in China combined with an optimized parking pricing strategy are proposed and compared. We introduce an agent-based simulation system to describe the parking and traffic conditions. Various measures of effectiveness under different parking pricing strategies can be obtained via agent-based simulations. We then construct a comprehensive benefit combining average cost and failure rate. Results show that the second strategy with charging different parking fees by considering locations and third optimized strategy can effectively improve traffic efficiency. However, the second strategy may lead to higher average cost than that of the third one. Thus, the third optimized strategy performs the best and can be used to optimize the parking policy of parking managers in the future. The entire assessment through simulations can provide evaluation suggestions for parking managers to adjust parking policies.Sustainability 2020, 12, 2056 2 of 13 estimate the changes in car usage and parking location utilization [4]. Kelly and Clinch (2006) analyzed a survey on 1007 on-street parkers in Dublin, Ireland, and found a progressively widening gap in price sensitivity between trips made for business and nonbusiness purposes [5]. Public acceptance of increased parking fare is an important issue. Bonsall and Young (2010) developed a charge strategy based on public acceptance. Their analysis suggested that the combined effect might be beneficial to the local economy and yield a net increase in revenue although the removal of parking charges would reduce revenues [6]. Jansson (2010) believed that the taxation of the free or highly subsidized parking provided by employers in city centers could be extremely useful for alleviating urban congestion [7]. The second category of research focuses on the impact of parking charging methods on parking behavior. Caicedo (2011) analyzed the parking charge in terms of minutes to obtain its impact on parking turnover and revenues [8]. Zhang and Zhu (2016) introduced a critical value of user-acceptable parking fee into a parking choice model and analyzed the influence of parking fee on drivers' parking choice and roadside parking utilization [9]. Dale et al. (2017) assessed the impact of workplace parking tax on local traffic congestion in Nottingham and found that traffic congestion is immensely alleviated by the said tax [10]. Gao et al. (2018) proposed a price-based tradable credit scheme to minimize social costs by optimizing the credit scheme and the number and location of parking and transfer stations [11]. Cai et al. (2018) proposed a parking space allocation method based on open window, parking fee, and reservation rat...

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Section: Vehicle Agent Generationmentioning

confidence: 99%

Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis

et al. 2020

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“…These researches serve as a general background for our current study, but more relevant are a number of recent studies that do include a reservation possibility. Some of these later studies have analyzed the impact of parking reservation in off-street parking facilities [17][18][19][20][21][22], while others have studied reservation of on-street parking places using mathematical and game-theoretical approaches and thus without taken into account the inevitably spatial nature of parking search [23][24][25]. The latter is highly problematic, because space fundamentally shapes parking search time as was demonstrated by Levy et al [11].…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Bottom-Up Parking Information Provision in a Real-Life Context: The Case of Antwerp

Tasseron

Martens

2017

Journal of Advanced Transportation

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A number of studies have analyzed the possible impacts of bottom-up parking information or parking reservation systems on parking dynamics in abstract simulation environments. In this paper, we take these efforts one step further by investigating the impacts of these systems in a real-life context: the center of the city of Antwerp, Belgium. In our simulation, we assume that all on-street and off-street parking places are equipped with technology able to transmit their occupancy status to so-called smart cars, which can receive information and reserve a parking place. We employ PARKAGENT, an agent-based simulation model, to simulate the behavior of smart and regular cars. We obtain detailed data on parking demand from FEATHERS, an activity-based transport model. The simulation results show that parking information and reservation hardly impact search time but do reduce walking distance for smart cars, leading to a reduction in total parking time, that is, the sum of search time and walking time. Reductions in search time occur only in zones with high occupancy rates, while a drop in walking distance is especially observed in low occupancy areas. Societal benefits of parking information and reservation are limited, because of the low impact on search time and the possible negative health effects of reduced walking distance.

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“…Extra parking spaces can be added to a parking facility whose beta is greater than zero until the beta reaches zero. It is important [44] suggest. Similarly, with respect to the shadow price of parking rationing ( or theta): (i) parking spaces have been reserved for various parking permit holders, neighborhood businesses, or various parking durations (rationed).…”

Section: Interpretation Of the Algorithm'smentioning

confidence: 99%

Heterogeneous Parking Market Subject to Parking Rationing

Bagloee

Asadi

2015

Mathematical Problems in Engineering

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Different types of drivers and parking spaces delineate a heterogeneous parking market for which the literature has yet to provide a model applicable to the real world. The main obstacle is computational complexities of considering various parking restrictions along with traffic congestion on the road network. In this study, the heterogeneity aspects are considered within a Logit parking choice model. A mathematical programming problem was introduced to explicitly consider parking capacities and parking rationing constraints. The parking rationing is defined as any arrangement to reserve parking space for some specific demand such as parking permit, private parking, VIP parking, and different parking durations. Introduction of parking rationing in the presence of other constraints is a unique factor in this study which makes the model more realistic. The algorithm was tested on a central business district case study. The results prove that the algorithm is able to converge rapidly. Among the algorithm's output are shadow prices of the parking capacity and parking rationing constraints. The shadow prices contain important information which is key to addressing a variety of parking issues, such as the location of parking shortages, identification of fair parking charges, viability of parking permits, and the size of reserved parking.

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Evaluating parking reservation policy in urban areas: An environmental perspective

Cited by 42 publications

References 3 publications

Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis

Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis

The Impact of Bottom-Up Parking Information Provision in a Real-Life Context: The Case of Antwerp

Heterogeneous Parking Market Subject to Parking Rationing

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