| contributor author | Ming Zhong | |
| contributor author | John Douglas Hunt | |
| date accessioned | 2017-05-08T21:05:17Z | |
| date available | 2017-05-08T21:05:17Z | |
| date copyright | March 2010 | |
| date issued | 2010 | |
| identifier other | %28asce%290733-947x%282010%29136%3A3%28255%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/38171 | |
| description abstract | Activity-based travel demand forecasting consists of modeling activity type, location, and duration with a view to improving transportation planning and creating effective traffic management systems. Research to date has focused primarily on weekday activity patterns, but given its steady increase, weekend activities and related travel demand also deserve attention. Limited research studied weekend activities, and none of them was found to provide detailed specifications with respect to best-fit hazard functions and lifetime regression models. This study, which took place in Calgary, Alberta (a Canadian city of | |
| publisher | American Society of Civil Engineers | |
| title | Exploring Best-Fit Hazard Functions and Lifetime Regression Models for Urban Weekend Activities:Case Study | |
| type | Journal Paper | |
| journal volume | 136 | |
| journal issue | 3 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)0733-947X(2010)136:3(255) | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 003 | |
| contenttype | Fulltext | |
