Private owners’ propensity to engage in shared parking schemes under uncertainty: comparison of alternate hybrid expected utility-regret-rejoice choice models

Yan, Qianqian; Feng, Tao; Timmermans, Harry

doi:10.1080/19427867.2022.2088568

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Several scholars focus on shared parking demand forecasting [16,17] and willingness of diferent subjects towards the policy of shared parking [18][19][20]. Yan et al [21] constructed a hybrid expected utility-regret model to explore the participation behavior. Te results showed that the important factors explaining the engagement included sociodemographic characteristics, social infuence, government's role, media attention, platform fee, and revenues.…”

Section: Related Workmentioning

confidence: 99%

A Novel Reservation and Allocation Approach of Shared Parking Slots considering the Noncritical Aisle Space

Huang

Hong

Shi

et al. 2023

Journal of Advanced Transportation

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Urban areas are experiencing a substantial increase in parking demand, which creates an imbalance due to the limited availability of parking facilities. To address this issue, effective parking management is necessary. Shared parking is an alternative solution that utilizes private plots which are vacant during the day to serve the parking needs of users engaged in nearby activities. While current parking management approaches have achieved high utilization rates for available parking slots, the use of aisle space in parking lots can alleviate oversaturated parking demands, especially during peak periods, for users with relatively short parking durations. This study aims to model the noncritical aisle space with time-space constraints in the shared parking slot allocation problem. We propose a programming model that maximizes the profit of the platform based on a reservation and allocation platform. Numerical experiments demonstrate that utilizing the aisle space can enhance the revenue and enable the platform to accommodate more requests that meet the requirements. Moreover, the presence of aisle parking slots may potentially result in slightly lower turnover rates of normal parking slots.

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Section: Related Workmentioning

confidence: 99%

A Novel Reservation and Allocation Approach of Shared Parking Slots considering the Noncritical Aisle Space

Huang

Hong

Shi

et al. 2023

Journal of Advanced Transportation

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“…Many scholars believe that SAVs will revolutionize the future of urban transportation and provide much more convenient, safer, and economical mobility services [3,4]. Rapidly increasing research and development efforts are contributing to the expected presence of SAVs on the road, particularly in terms of parking, which they can free from the constraint of distance due to their self-driving ability [5]. A further way to enhance the advantages of SAVs is by replacing traditional fuel-powered vehicles with electric ones, so here comes SAEVs [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Charging Behavior on Transportation System in the Era of SAEVs: Balancing Current Request with Charging Station Availability

Zhu,

Ye,

Yan

et al. 2024

Systems

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Shared autonomous electric vehicles (SAEVs) can offer safer, more efficient, and more environmentally friendly real-time mobility services with advanced autonomous driving technologies. In this study, a multi-agent-based simulation model considering SAEVs’ vehicle range and charging behavior is proposed. Based on real-world datasets from the Luohu District in Shenzhen, China, various scenarios with different fleet sizes, charging rates, and vehicle ranges are established to evaluate the impact of these parameters on parking demand, charging demand, vehicle miles traveled (VMT), and response time in the era of SAEVs. The results show there would be much more charging demand than parking demand. Moreover, a larger fleet size and longer vehicle range would lead to more parking demand, more charging demand, and more VMT while increasing the charging rate can dramatically reduce the charging demand and VMT. Average response time can be reduced by increasing the fleet size or the charging rate, and a larger vehicle range leads to longer response time due to the longer time spent recharging. It is worth noting that the VMT generated from relocating from the previous request destination to the origin of the upcoming request accounts for nearly 90% of the total VMT, which should be addressed properly with appropriate scheduling. A charging policy considering current requests and the availability of charging stations was proposed and verified in terms of reducing the response time by 2.5% to 18.9%.

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Identifying temporal variations in accessibility inequity to healthcare services across different travel strategies

Gan,

Liang,

Yang

2024

Journal of Transport & Health

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Private owners’ propensity to engage in shared parking schemes under uncertainty: comparison of alternate hybrid expected utility-regret-rejoice choice models

Cited by 4 publications

References 27 publications

A Novel Reservation and Allocation Approach of Shared Parking Slots considering the Noncritical Aisle Space

A Novel Reservation and Allocation Approach of Shared Parking Slots considering the Noncritical Aisle Space

Exploring the Impact of Charging Behavior on Transportation System in the Era of SAEVs: Balancing Current Request with Charging Station Availability

Identifying temporal variations in accessibility inequity to healthcare services across different travel strategies

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