Modelling parking type choice behavior

Hassine, Sana Ben; Mraïhi, Rafaa; Lachiheb, Anis; Kooli, Elyes

doi:10.1016/j.ijtst.2021.09.002

Cited by 15 publications

(17 citation statements)

References 24 publications

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“…(1) In Figure 6, observations from Group1 to Group 4 illustrate that V on−street increased and D on−street declined along with a dramatic decrease in c * . The decrease in c * is indicated to play a significant role in affecting the delay improvements of the road traffic flow with from the maximum D on−street of 63.559 s to the minimum D on−street of 18.625 s. This finding is consistent with the results of Sana Ben Hassine [25], i.e., the cost of parking has a significant impact on whether drivers select on-street cruising for parking versus off-street parking.…”

Section: Delay Analysis On Road Traffic Flowsupporting

confidence: 89%

On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis

et al. 2022

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On-street cruising by drivers impedes the effectiveness of road traffic conditions and increases energy consumption and environmental impact. Existing models of on-street cruising for parking mainly embody those intrinsic on-street parking factors and disregard the extrinsic impacts from off-street parking gaming factors. This research focused on both the intrinsic and extrinsic elements, especially gaming factors, of off-street parking, i.e., the price of off-street parking, the waiting time of off-street parking, and the difference in walking time between their parking lots to their destinations. On-street cruising for a parking model is reconstructed in this paper in consideration with the equilibrium cruising time, i.e., the maximum tolerable cruise time after evaluating the cost of on-street and off-street parking. Correlation analysis showed that the off-street parking gaming factors were all positively related with the maximum tolerable cruise time. A simulation model was further presented for on-street cruising for the parking model by the cellular automata approach with real-world data. Simulation experiments demonstrated that the average speed of vehicles on the street increases by 9.858 km/h, the average delay decreases by 44.934 s, and the price of on-street parking increases by 4.5 CNY/h. The proposed on-street cruising for parking model proved effective by decreasing the maximum tolerable cruising time to bring significant improvements in average speed, average delay, and on-street cruising vehicles in road traffic flow.

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Section: Delay Analysis On Road Traffic Flowsupporting

confidence: 89%

On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis

et al. 2022

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“…Previous studies indicated that walking distance, search distance, and parking price are extremely important in influencing customers' choice of the parking space (33)(34)(35)(36)(37)(38)53). Thus, these variables were selected as attribute variables in our questionnaire.…”

Section: Data Acquisitionmentioning

confidence: 99%

“…Meanwhile, the MNL model was also used to explain the relationship between parking decisions and relevant influencing factors, where walking distance and parking price were the most important decision factors ( 34 ). By using MNL, parking price, search time, and walking time were all found to be important for each parking type, and customers were more concerned about saving search time instead of walking time ( 35 ). Researchers have also studied the behavior of Chinese customers.…”

Section: Literature Reviewmentioning

confidence: 99%

Joint Optimization of Facility Layout and Spatially Differential Parking Pricing for Parking Lots

Yang

Chen

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The parking cruising problem can be attributed to the unbalanced spatial parking space occupancy in the parking lot with multiple trip purposes and high traffic volumes, and it has already become an obstacle to improving travel efficiency. This study aims to investigate the reasons for the unbalanced occupancy of parking spaces and develop strategies to achieve spatial equilibrium by reducing parking cruising time. A field survey is first conducted to analyze the factors influencing parking space choice behavior, such as searching distances, walking distances, parking price, and parkers’ attributes. Based on the survey, a mixed logit model is calibrated to reveal parking space choice patterns of different parkers. Afterwards, the parking lot is divided into three zones based on searching distances and walking distances, using the K-means algorithm. According to the results, a simulation-based optimization model is then established, for minimizing the variance of average occupancy. An optimal pricing strategy is obtained at last. A case study in Nanjing, China, is conducted to verify the feasibility and rationality of the proposed method. The difference between weekdays and weekends is explored. The results show that, with the optimal strategies, the standard deviation of average occupancy in each zone decreases by 39.52% during weekends and 42.29% during weekdays. Finally, political implications and recommendations on the layout design of facilities and the adoption of differential parking pricing strategies are provided.

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“…This result shows that the H1 hypothesis of significance is rejected for the constant, therefore the model [2] is not retained. Hence, we proceed to the next model [1]. As a consequence, the road density variable is non-stationary.…”

Section: Unit Root Testsmentioning

confidence: 99%

“…In addition to the role, they play in transportation and the movement of people and goods, for example, parking policies can also have profound effects on land use and urban form, public health, and other socio-economic issues. Indeed, parking availability or lack thereof as a result of the balance of supply and demand affects the modal choice of users, the accessibility and attractiveness of high-density areas as well as the location of various community activities, services, and businesses [1].…”

Section: Introductionmentioning

confidence: 99%

The causal relationship between road density and parking occupancy

Hassine¹,

Kooli²,

Mraïhi³

2022

World J. Adv. Res. Rev.

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In order to alleviate traffic congestion-parking challenges, this research investigates the causal relationship between road density and parking occupancy. We use Granger causality tests based on vector error correction modeling. During the daily period of twelve consecutive hours, data were collected on road density and parking occupancy in a parking lot and on-street parking in Tunis city center. The empirical results highlight that the dominant type of Granger causality is unidirectional. Hence, we conclude that there is an endogenous relationship between road density and parking occupancy. The findings of this study indicate a need to rethink policy and can be incorporated into modeling parking.

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Modelling parking type choice behavior

Cited by 15 publications

References 24 publications

On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis

On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis

Joint Optimization of Facility Layout and Spatially Differential Parking Pricing for Parking Lots

The causal relationship between road density and parking occupancy

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