“Weather” transit is reliable? Using AVL data to explore tram performance in Melbourne, Australia

Mesbah, Mahmoud, Lin, Johnny and Currie, Graham (2015) “Weather” transit is reliable? Using AVL data to explore tram performance in Melbourne, Australia. Journal of Traffic and Transportation Engineering (English Edition), 2 3: 125-135. doi:10.1016/j.jtte.2015.03.001


Author Mesbah, Mahmoud
Lin, Johnny
Currie, Graham
Title “Weather” transit is reliable? Using AVL data to explore tram performance in Melbourne, Australia
Journal name Journal of Traffic and Transportation Engineering (English Edition)   Check publisher's open access policy
ISSN 2095-7564
Publication date 2015-06
Sub-type Article (original research)
DOI 10.1016/j.jtte.2015.03.001
Open Access Status DOI
Volume 2
Issue 3
Start page 125
End page 135
Total pages 11
Place of publication Xi'an, China
Publisher Chang'an Daxue Zazhishi [Elsevier]
Language eng
Abstract This paper uses automatic vehicle location (AVL) records to investigate the effect of weather conditions on the travel time reliability of on-road rail transit, through a case study of the Melbourne streetcar (tram) network. The datasets available were an extensive historical AVL dataset as well as weather observations. The sample size used in the analysis included all trips made over a period of five years (2006–2010 inclusive), during the morning peak (7 am–9 am) for fifteen randomly selected radial tram routes, all traveling to the Melbourne CBD. Ordinary least square (OLS) regression analysis was conducted to create a linear model, with tram travel time being the dependent variable. An alternative formulation of the model is also compared. Travel time was regressed on various weather effects including precipitation, air temperature, sea level pressure and wind speed; as well as indicator variables for weekends, public holidays and route numbers to investigate a correlation between weather condition and the on-time performance of the trams. The results indicate that only precipitation and air temperature are significant in their effect on tram travel time. The model demonstrates that on average, an additional millimeter of precipitation during the peak period adversely affects the average travel time during that period by approximately 8 s, that is, rainfall tends to increase the travel time. The effect of air temperature is less intuitive, with the model indicating that trams adhere more closely to schedule when the temperature is different in absolute terms to the mean operating conditions (taken as 15 °C).
Keyword Automatic vehicle location
Transit performance
Weather condition
Regression analysis
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
 
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Created: Mon, 01 Aug 2016, 20:15:42 EST by Mary-Anne Marrington on behalf of School of Civil Engineering