• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Wu, De-Hua (Wu, De-Hua.) [1] (Scholars:吴德华)

Indexed by:

EI Scopus PKU CSCD

Abstract:

To overcome the limitations of traditional urban parking demand forecasting method, which predict the parking demand of the old town, the paper studys the parking demand forecasting method of the old town. On the base of contrasting the advantages and disadvantages among traditional parking demand forecasting methods, a new parking demand forecasting method is put forward to use the correlation between the motor vehicle growth rates and parking demand. The method has obvious advantages than traditional prediction method in predicting the reliability, costs of investigation and prediction parking distribution depth. Case study results show that the relative error of the recent forecast less than 5% compared with the method based on the number of cars, the investigation cost savings 30%-40% than the motor vehicle OD prediction method and traffic-parking demand forecasting method, and the forecast parking distribution can be obtained for each traffic survey within the district. The results also show that the method can be applied and promoted in the old town parking demand forecasting.

Keyword:

Forecasting Traffic surveys

Community:

  • [ 1 ] [Wu, De-Hua]College of Civil Engineering, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • 吴德华

Show more details

Version:

Related Keywords:

Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

CN: 11-4520/U

Year: 2014

Issue: 1

Volume: 14

Page: 235-241

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

Online/Total:90/10065788
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1