Improving Utilization Efficiency and Drivers’ Degree of Satisfaction in Urban Complex Parking Lot through Modelling the Dynamic Allocation of Parking Spaces
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Parking Systems Research · Urban Transport and Accessibility · Impact of Light on Environment and Health
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
School of Transportation, Southeast University, Nanjing 211189, China
National Demonstration Center for Experimental Road and Traffic Engineering Education, Southeast University, Nanjing 211189, China
Nanjing Parking Domain Technology Institute, Nanjing 210019, China
Funding
National Natural Science Foundation of China · Key Project of Transportation Science and Technology Achievement & Transformation of Jiangsu Province · Fundamental Research Funds for the Central Universities
References (26)
Show source-provided references
1. Study on Construction Quality Control of Urban Complex Project Based on BIM10.1016/j.proeng.2017.01.215 ↗
2. Shanghai Business Development Research Center (2021, June 06). Shanghai Urban Commercial Complex Development Report (2017–2018). Available online: http://www.ebrun.com/20181208/311193.shtml.
3. Parking Behavior, Eiciency and Architectural Design for Underground Garage Case study of Two Garages
4. Analysis on drivers’ parking lot choice behaviors in expressway rest area10.1016/j.trpro.2017.05.158 ↗
5. Qi, T. (2012). The Research and Application of Spatiotemporal Model of the Urban Public Parking Management. [Ph.D. Thesis, Zhejiang University].
6. On the optimal parking lot subscription policy problem: A hybrid simulation-optimization approach10.1007/s10479-012-1208-0 ↗
7. Micro-simulation of Car Drivers’ Movements at Parking Lots10.1016/j.proeng.2016.02.019 ↗
8. Micro-level parking behaviors within parking facilities and optimal parking space choice model
9. Chen, M., Hu, C., and Chang, T. (2011, January 11–13). The research on optimal parking space choice model in parking lots. Proceedings of the International Conference on Computer Research and Development, Shanghai, China.10.1109/ICCRD.2011.5764091 ↗
10. Research on parking app choice behavior based on MNL10.1016/j.tbs.2021.07.007 ↗
11. Research on dynamic parking space allocation model in closed parking lot10.4028/www.scientific.net/AMM.734.435 ↗
12. Wu, M., Jiang, H., and Tan, C.A. (2021). Automated parking space allocation during transition with both human-operated and autonomous vehicles. Appl. Sci., 11.10.3390/app11020855 ↗
13. A parking behavior model in metropolis’ downtown-a case study on Xidan area of Beijing
14. Akatsu, N., Shimizu, M., and Yonekura, T. (2014, January 10–12). A Study of the Simulation Technology Application to a Parking Lot Layout Design. Proceedings of the International Conference on Network-Based Information Systems, Salerno, Italy.10.1109/NBiS.2014.84 ↗
15. Rodriguez, S., Giese, A., and Amato, N.M. (2013, January 3–7). Improving aggregate behavior in parking lots with appropriate local maneuvers. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots & Systems, Tokyo, Japan.10.1109/IROS.2013.6696906 ↗
16. Adewumi, A.O., Joel, L.O., and Sawyerr, B.A. (2014, January 3–6). Campus parking space allocation distribution using pattern search and particle swarm pattern search algorithms. Proceedings of the International Symposium on Soft Computing & Intelligent Systems, Kitakyushu, Japan.10.1109/SCIS-ISIS.2014.7044839 ↗
17. Mechanisms of Allocation/Pricing/Revenue Distribution for Shared Parking Lots
18. Lin, F., and Chen, H. (2016, January 14–16). Improving utilization and customer satisfaction of parking space with M2M communications. Proceedings of the 2015 IEEE 2nd World Forum on Internet of Things, Milan, Italy.10.1109/WF-IoT.2015.7389099 ↗
19. Support for innovative on-street parking policies: Empirical evidence from an urban neighborhood10.1016/j.jtrangeo.2020.102726 ↗
20. Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network10.1016/j.trb.2019.03.003 ↗
21. Market Segmentation Analysis of Commuter Parking Relative to Shared Private Residential Parking Spots10.1177/0361198118772948 ↗
22. Zhang, S. (2015). Allocation and Pricing for Underground Parking Lot of Office Buidling in CBD. [Master’s Thesis, Tsinghua University].
23. Ma, S., Fang, W., Jiang, H., Han, M., and Li, C. (2021). Parking space recognition method based on parking space feature construction in the scene of autonomous valet parking. Appl. Sci., 11.10.3390/app11062759 ↗
24. Ogás, M.G.D., Fabregat, R., and Aciar, S. (2020). Survey of smart parking systems. Appl. Sci., 10.10.3390/app10113872 ↗
25. Barriga, J.J., Sulca, J., León, J.L., Ulloa, A., Portero, D., Andrade, R., and Yoo, S.G. (2019). Smart parking: A literature review from the technological perspective. Appl. Sci., 9.10.3390/app9214569 ↗
26. Comparative analysis of crowding in multiple locations: Results from fifteen years of research10.1080/01490408909512227 ↗