This study presents an ordered probit model for the identification of the critical factors to bus travel time delay severity. Based on the automatic vehicle location (AVL) and automatic passenger counter (APC) data as well as weather conditions, a number of factors, such as section classification, cumulative bus dwell time, cumulative bus leg time, cumulative number of stops and classification of day of the week, are identified as being significant to the delay severity.
Analyze Bus Delay Severity Using Ordered Probit Model
First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China
2007-07-09
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Analyze Bus Delay Severity Using Ordered Probit Model
British Library Conference Proceedings | 2007
|Accident Severity Analysis Using Ordered Probit Model
Online Contents | 2007
|Crash Injury Severity Analysis Using Bayesian Ordered Probit Models
Online Contents | 2009
|Crash Injury Severity Analysis Using Bayesian Ordered Probit Models
British Library Online Contents | 2009
|Analysis of large truck crash severity using heteroskedastic ordered probit models
Online Contents | 2011
|