01088642

Component

https://doi.org/10.3141/2072-13

http://scholar.google.com...vits&publication_year=2008

Dwell time at bus stops represents a significant portion of bus operating time and contributes to its variability. Although dwell time is highly correlated with the number of passengers boarding and alighting, there are also secondary factors such as crowding, fare type, and bus design that may affect it. These secondary factors may strongly influence the effectiveness of different strategies used to improve service. Automatic data collection systems provide a plethora of data, but they require preprocessing to combine records from different collection systems to control for measurement error and to determine the significant factors influencing dwell time. Using data from the automatic passenger counting, automatic fare counting, and automatic vehicle location systems installed on Chicago Transit Authority buses, the paper develops and implements preprocessing techniques, estimates a dwell time model, and analyzes the impact of the secondary factors. Smart media farecards are estimated to have a 1.5-s faster transaction time than magnetic strip tickets, but only in uncrowded situations. When the number of onboard passengers exceeds the seating capacity, there is no statistically significant difference between the fare media types.

01116584

English

pp 125-130

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309113472

Print

References (6) ; Tables (7)

Automatic fare collection; Automatic vehicle location; Bus stops; Bus transit; Dwell time; Mathematical models; Smart cards

Chicago Transit Authority

Automated passenger counters

Operations and Traffic Management; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 29 2008 5:21PM

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