Analysis and Application of Prediction Model for Public Parking Facilities Scale

Abstract:

Prediction on the public parking facilities scale is an important work of the urban static traffic planning. It is extremely necessary and meaningful to analyze its total demand, supply scale, and constituent. On the basis of analysis for the characteristics of static traffic prediction method based on travel, a process of parking facilities scale forecasting with the core of trip attraction model was presented, and a prediction model for public parking facilities was also established by means of improving traditional trip attraction model according to a static traffic management influence coefficient. At last, combined with example of urban prediction, the application methods of the model and the principles of its parameter calibration are discussed. The result demonstrates that our prediction model provides a solution to forecast public parking facilities scale.

• Periodical: Applied Mechanics and Materials (Volume 188)
• Pages: 308-312
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.188.308
• Online since: June 2012
• Authors: Li Juan Wang, Shi Feng Li, Lin Huang
• Keywords: Prediction Model, Public Parking Facilities Scale, Trip Attraction, Urban Static Traffic Planning

References

[1] C.I. Hsu, F.S. Lin, Demand distribution and operating strategies of airport remote and terminal parking facilities, Transportation Planning and Technology. 3(1997) 219-234.

DOI: 10.1080/03081069708717590

[2] H.W. Guo, Z.Y. Gao, X.B. Yang, X.M. Zhao, W.H. Wang, Modeling travel time under the influence of on-street parking, Journal of Transportation Engineering. 2(2011) 229-235.

DOI: 10.1061/(asce)te.1943-5436.0000319

[3] A. Faghri, Development of a hybrid knowledge-based geographic information system for optimally locating park-and-ride facilities. International Journal of Smart Engineering System Design. 3(2001) 139-157.

[4] A. Faghri, Integrated knowledge-based geographic information system for determining optimal location of park-and-ride facilities, Journal of Urban Planning and Development. 128(2002) 18-41.

DOI: 10.1061/(asce)0733-9488(2002)128:1(18)

[5] F. Caicedo, C. Blazquez, P. Miranda, Prediction of parking space availability in real time, Expert Systems with Applications. 8(2012) 7281-7290.

DOI: 10.1016/j.eswa.2012.01.091

[6] C.Y. Lee, Peak period occupancy - a parking management tool, ITE Journal. 12(1986) 25-29.

[7] D.A. Hensher, J. King, Parking demand and responsiveness to supply, pricing and location in the Sydney central business district, Transportation Research. 3(2001) 177-196.

DOI: 10.1016/s0965-8564(99)00054-3

[8] M.T. Tsai, C.P. Chu, Evaluating parking reservation policy in urban areas: An environmental perspective, Transportation Research. 2(2012) 145-148.

DOI: 10.1016/j.trd.2011.10.006