01372742

Component

https://doi.org/10.3141/2274-14

http://scholar.google.com...varo&publication_year=2012

This paper proposes a bus dwell-time model obtained by means of a robust statistical evaluation of boarding passenger data at stops. This model is a change from the generally accepted linear model (i.e., dwell time increases in a fixed rate of time per passenger). The statistical analysis proves the validity of the potential model. This model was derived from a large number of observations on Line 27 of the Transports Municipal Company in Madrid, Spain, and validated with observations from another line (Line 70). The data were gathered by observers who could attest to the influence of occasional incidents in the boarding process. This model can be used to evaluate line capacity more accurately. The analyzed lines were main urban routes with high passenger demand requiring the use of articulated buses. These lines were selected according to two basic criteria: routes with high demand that guarantee good results and routes with similar vehicle types with an onboard payment method. A large proportion of the fares on the two lines comes from monthly passes that require magnetic validation.

01449088

12-2742

English

pp 126–134

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309223171

Print

Figures; References; Tables

Boarding; Bus routes; Bus stops; Bus transit operations; Case studies; Dwell time; Fare collection; Mathematical models; Statistical analysis

Madrid (Spain)

Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 8 2012 5:11PM

• Analytically Derived Versus Numerically Derived Urban Transit Guidelines: Case Study of Utrecht, Netherlands
• Analyzing Passenger Incidence Behavior in Heterogeneous Transit Services Using Smartcard Data and Schedule-Based Assignment
• Assessing the Impact of Travel Path Choice on London’s Rail Network Using an Automatic Fare Collection System
• Bus-Holding Control Strategies: Simulation-Based Evaluation and Guidelines for Implementation
• Developing Sustainable Methods of Distributing Federal Transit Funds: Three Models of Funding Distribution in Complex Metropolitan Planning Areas
• Development of Measurement System for Public Transport Performance
• Effects of Personal Proenvironmental Attitudes on Mode Choice Behavior: New Ecofriendly Water Transit System in Seoul, South Korea
• Effects of Tube Strikes on Journey Times in Transport Network of London
• Extraboard Performance: TriMet Case Study
• How Do People Perceive Service Attributes at Transit Facilities? Examination of Perceptions of Transit Service by Transit User Demographics and Trip Characteristics
• Key Variables Affecting Decisions of Bus Replacement Age and Total Costs
• Marginal Cost Pricing and Subsidy of Small Urban Transit
• New York City’s East River Ferry: Expanding Passenger Ferry Service and Stimulating Economic Development in the New York City Region
• Passenger Transmission and Productiveness of Transit Lines with High Loads
• Public Policy Objectives and Urban Transit: Case of Passenger Ferries in the New York City Region
• Public Transportation Today and Tomorrow
• Quantifying Reliability of Transit Service in Zurich, Switzerland: Case Study of Bus Line 31
• Simulating the Travel Time Impact of Missed Transit Connections
• Steps to Leading Change: A Transportation Agency’s Business Plan Approach
• Strategic Look at Friday Exceptions in Weekday Schedules for Urban Transit: Improving Service, Capturing Leisure Markets, and Achieving Cost Savings by Mining Data on Automated Fare Collection Ridership