Better lucky than rich? Comparative analysis of parking reservation and parking charge

Mei, Zhenyu; Feng, Chun; Ding, Wenchao; Zhang, Lihui; Wang, Dianhai

doi:10.1016/j.tranpol.2019.01.001

Cited by 49 publications

(20 citation statements)

References 21 publications

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“…Yang [24] studied the parking capacity under two parking modes including reserved parking spaces and first-come-first-competition public parking spaces. Zhen [25] proved that parking charge and reservation can remarkably improve the comprehensive benefit using agent simulation.…”

Section: Introductionmentioning

confidence: 99%

Research on parking sharing strategies considering user overtime parking

et al. 2020

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A parking sharing strategy is proposed to solve the problems of parking difficulty caused by the imbalance between parking spaces and parking demand. The vacant parking spaces of residential area can be efficiently utilized to meet the parking demands of those who are working at nearby or come for other activities based on the parking sharing strategy. The paper analyzes the distribution of vehicle arrival numbers and parking durations, then establishes a shared parking allocation model aiming to maximize the parking benefit considering the overtime-parking behavior of the parking users. Simulation methods are used to the analyze the relationship among the parking benefit, proportion of reserved parking, numbers of parking demand, acceptance rate of parking demand and utilization of shared parking spaces. Then, based on the principle of maximum parking benefit, we can determine the optimal proportion of reserved parking, number of shared parking spaces that should be purchased from the residents. Taking the utilization of shared parking spaces as an indicator, the validity of the static allocation principle is proved to be effective. Some allocation rules for parking demand are proposed to guarantees the maximum parking revenue and minimum impact on residents simultaneously.

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Section: Introductionmentioning

confidence: 99%

Research on parking sharing strategies considering user overtime parking

et al. 2020

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“…The traditional traffic assignments and parking selection models mentioned above do not reflect the dynamic and micro-behaviour of individuals in the parking process [3,17]. However, an agent-based simulation model can display the complex space-time relationship of individuals (vehicles) on the road network and the decision-making process of drivers.…”

Section: Related Workmentioning

confidence: 99%

An Agent-Based Simulation of an Alternative Parking Bay Choice Strategy

Lall

2020

SAJIE

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Trying to find a parking space in a parking lot is a routine activity for most people in our society. However, in managing the sustained growth rate in the number of vehicle users, the demand on such parking facilities is likely to remain under constant pressure. Both the users and the management of parking lots use various strategies in dealing with the requirement for suitable parking facilities. This paper presents a computational model using an agent-based modelling technique to simulate two commonly used strategies applied to choosing a parking spot under various demand and supply conditions. The model is unique in the current literature, as it is specifically designed to evaluate the effectiveness of the strategies. The analysis of the experimental results shows that, in most conditions, accepting the first available parking spot and then walking to the destination performed better than driving as close as possible to the destination and then searching for an available parking spot.

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“…Modeling and simulation have been used for knowledge discovery applicable to parking systems, as well as for testing already implemented SPS. Some examples of the first approach are: testing a utility function that involves factors affecting parking choice [4], collaborative path-finding in a multi-agent context applied to an SPS [12], testing a parking planning algorithm [13,14], and an SPS evaluation considering several vehicle categories [15]. Examples of the second approach include: testing an SPS model to explore factors like distance to building entrances [16], testing dynamic prices assignment [5], and parking guidance evaluation [6].…”

Section: Smart Parking Systems and Parking Simulationsmentioning

confidence: 99%

An Occupancy Simulator for a Smart Parking System: Developmental Design and Experimental Considerations

Mendoza-Silva

Gould

Montoliu

et al. 2019

IJGI

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This paper presents the development of a parking occupancy simulator to support a smart parking system. The simulator uses an agent-based approach to model drivers who follow activity plans and who may or may not use the smart parking system. We illustrate how the process of developing our simulator helped in the design and implementation of the smart parking system components. The paper also shows how the simulator was used to study the possible usage of the smart parking system in a university campus, foreseeing (1) support for the smart parking system’s overall suitability, (2) reservation guarantee violation problems, and (3) the value of using total traveled distance as a metric for the smart parking evaluation. The experience presented in this paper may prove valuable to teams planning the development of a smart parking system for similar contexts.

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Better lucky than rich? Comparative analysis of parking reservation and parking charge

Cited by 49 publications

References 21 publications

Research on parking sharing strategies considering user overtime parking

Research on parking sharing strategies considering user overtime parking

An Agent-Based Simulation of an Alternative Parking Bay Choice Strategy

An Occupancy Simulator for a Smart Parking System: Developmental Design and Experimental Considerations

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