scholarly journals Improving Utilization Efficiency and Drivers’ Degree of Satisfaction in Urban Complex Parking Lot through Modelling the Dynamic Allocation of Parking Spaces

2021 ◽  
Vol 11 (18) ◽  
pp. 8680
Author(s):  
Guang Yang ◽  
Jun Chen ◽  
Kuan Lu ◽  
Chu Zhang
Keyword(s):  
Utilization Efficiency ◽  
Demand Characteristic ◽  
Dynamic Allocation ◽  
Demand Characteristics ◽  
Parking Lot ◽  
Degree Of Satisfaction ◽  
Urban Complex ◽  
Occupancy Rates ◽  
Spatial Locations ◽  
Parking Demand

There are significant differences in the utilization efficiency of parking spaces in different spatial locations within the complex parking lots, which reduces the utilization efficiency of parking resources. For the above problem, a parking spaces supply demand characteristics indexes system was constructed. The Metro City complex was taken as an example, and its parking demand utilization characteristics were analyzed to judge the problem of parking spaces utilization. On this basis, a model of the dynamic allocation of parking spaces for parking spaces was constructed to improve drivers’ degree of degree of satisfaction and balance the occupancy rates for parking spaces in different zones. The simulation results show that after the implementation of the dynamic allocation of parking spaces, the differences of the parking spaces’ demand characteristic indexes between two different parking zones are significantly reduced. It was specifically observed that the differences between parking zones A and B in terms of turnover number, total parking time and average parking time were reduced from 2.24 times to 0.03 times, 1.3 h to 0.6 h and 2.2 h to 0.1 h, respectively, and the average interval time of parking spaces became smaller and more evenly distributed. It can be seen that this model can improve the overall utilization efficiency of the complex parking lot and drivers’ degrees of satisfaction.

Research on Dynamic Parking Space Allocation Model in Closed Parking Lot

2015 ◽  
Vol 734 ◽  
pp. 435-439
Author(s):  
Qing Gang Wang
Keyword(s):  
Optimization Model ◽  
Utilization Efficiency ◽  
Random Allocation ◽  
Parking Space ◽  
Allocation Model ◽  
Space Allocation ◽  
Parking Lot ◽  
On Line ◽  
Reservation System ◽  
Parking Demand

This paper investigated Dynamic Parking Space Allocation Model (DPSAM), which is one of functional modules of On-line Parking Space Reservation System (OPSRS). In the model, the parking spaces were regarded as a two-dimensional parking resource pool of temporal and spatial components. An integer programming formulation was presented with the objective function of minimizing the discontinuous parking resources. The experiment was executed to compare the allocation solutions of optimization model and random allocation with the indicators of parking resource vacancy rate, parking resource sunk rate and parking demand satisfaction rate. The result shows that optimization model can improve the utilization efficiency of parking lot and is valuable for the application of OPSRS.

Study of Yan Tai Train Station Parking Lot Improvement

2014 ◽  
Vol 1030-1032 ◽  
pp. 2240-2244
Author(s):  
Xuan Zhang ◽  
Li Yuan
Keyword(s):  
Heavy Traffic ◽  
Supply And Demand ◽  
Demand Analysis ◽  
Railway Station ◽  
Demand Characteristics ◽  
Train Station ◽  
Parking Lot ◽  
Parking Demand ◽  
Parking Facilities ◽  
Peak Parking

Parking lot parking problem is becoming more and more prominent. In order to improve the Yan Tai train station peak parking discontent, serious parking idle resources, and heavy traffic caused by road parking, the Yan Tai train station parking lot parking data was collected through survey, to discuss the parking demand characteristics and parking facilities supply and demand and so on. Combined with factors of parking problems, carries on the reasonable forecast of parking demand, and then gives the solutions. Keywords: the railway station parking lot; parking lot planning; parking characteristics; parking supply and demand analysis; improvement and design

scholarly journals Impact Analysis of Parking Price Adjustment on the Quality of Service of Airport Parking Lots for Light Vehicles

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Cheng Cheng ◽  
Peng Qi
Keyword(s):  
Quality Of Service ◽  
Impact Analysis ◽  
Demand Management ◽  
Evaluation Framework ◽  
Daily Maximum ◽  
Before And After ◽  
Parking Lot ◽  
The Impact ◽  
Parking Demand

Pricing is a common measure for parking demand management that has been implemented worldwide. However, the impact of parking price on a parking lot’s quality of service is seldom discussed. This study investigated the impacts of a ladder daily maximum fee charging strategy on the quality of service of the Hongqiao International Airport parking lot based on automatic transaction data before and after the strategy was implemented. An evaluation framework considering managers’ and users’ perspectives was designed. The estimation results show that the new price regulation method largely discouraged long-term parking demand and improved the availability of airport parking facilities, especially during long holidays. As a consequence, throughput and income largely increased in the airport, and there were extra time costs during vehicle departures. The price elasticity of parkers with different parking durations was further estimated. The results showed that price sensitivity is relatively inelastic but varies based on parking duration.

scholarly journals Investigating hospital parking demand characteristics in Iraq: Al-Sadar Hospital as case study

2020 ◽  
Vol 737 ◽  
pp. 012124
Author(s):  
Hamid Athab Eedan Al-Jameel ◽  
Husam Abdul Ridha Hasnawi ◽  
Mohammed Abbas Al-Jumaili
Keyword(s):  
Demand Characteristics ◽  
Parking Demand

The Analysis of Demand Characteristics of Passenger Transportation Based on BP Neural Network

2013 ◽  
Vol 409-410 ◽  
pp. 1292-1295 ◽  
Author(s):  
Yong Liao ◽  
Tao Wu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Stated Preference ◽  
Orthogonal Design ◽  
Influence Factors ◽  
Demand Characteristic ◽  
Survey Method ◽  
Demand Characteristics ◽  
Transport Mode ◽  
Passenger Transportation

To quantitatively analyze travelers preference under different influence factors on transport mode, the thoughts of orthogonal design is introduced into optimizing questionnaires without the loss of information. Combined with stated preference survey method, data related to travelers preference are collected. In order to analyze survey data scientifically and roundly, BP neural network is used. By taking non-investigated options as inputs, BP neural network can figure out the scores of all options which are not be surveyed. At last a numeric example demonstrates the use of BP neural network in the analysis of demand characteristic of passenger transposition is valid and feasible.

scholarly journals Analyzing the parking demand characteristics in cultural activity-oriented city

2021 ◽  
Vol 1145 (1) ◽  
pp. 012060
Author(s):  
S Vaishnavi Devi ◽  
H Abdul Wahab ◽  
S Gowtham ◽  
G K Guru Gowtham
Keyword(s):  
Cultural Activity ◽  
Demand Characteristics ◽  
Parking Demand
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