Network Design for Personalized Public Transit Service

2002 ◽  
Vol 1791 (1) ◽  
pp. 67-71
Author(s):  
Behruz Pashaie ◽  
Siamak A. Ardekani
Keyword(s):  
Network Design ◽  
Public Transit ◽  
Time Of Arrival ◽  
Transit Service ◽  
Calls For Service ◽  
Bus Stop ◽  
Flow Speeds ◽  
Adherence Data ◽  
Schedule Adherence

Network design requirements for personalized public transit service are presented. This concept involves diverting buses from their fixed routes to pick up passengers in the vicinity of the route. The software developed for the Dallas Area Rapid Transit to implement this concept is also discussed. A Dallas bus route is used as the case study. The service corridor is defined to be one-third of a mile on each side of the route. The software uses the real-time bus location and the schedule adherence data from a satellite-based vehicle locator system. Once it is determined that a given service request can be filled, the program generates the best diversion path and the estimated time of arrival to the caller’s location. The software includes modules for logging incoming calls for service, identifying passenger locations, assessing feasibility of providing service, determining the best diversion path for passenger pickup, and assessing the effect of the diversion on the schedule. The network database includes street geometry (nodes and links); link volumes, capacities, and free-flow speeds; node turning prohibitions; bus stop and timepoint locations; and route schedule including available schedule slacks.

Making the Links between Ride-hailing and Public Transit Ridership: Impacts in Medium and Large Colombian Cities

2021 ◽  
Author(s):  
Lynn Scholl ◽  
Felipe Bedoya-Maya ◽  
Orlando Sabogal-Cardona ◽  
Daniel Oviedo
Keyword(s):  
Public Transportation ◽  
Fixed Effects ◽  
Public Transit ◽  
Transport Systems ◽  
Transit Service ◽  
Policy Debates ◽  
Transit Ridership ◽  
Key Policy ◽  
In Transit

As transit ridership continues to fall in many cities across the globe, key policy debates continue around whether Uber and other ride-hailing services are contributing to this trend. This research explores the effects of the introduction of ride-hailing to Colombian cities on public transportation ridership using Ubers timeline as case study. We test the hypothesis that ride-hailing may either substitute or compete with public transit, particularly in cities with large transit service gaps in coverage or quality. Our analysis builds on historic transit ridership data from national authorities and uses a staggered difference-in-difference model that accounts for fixed effects, seasonality, socioeconomic controls, and the presence of integrated transport systems. Despite large reductions in transit ridership in most cities, our results suggest that Uber is not statistically associated with the observed drop in ridership. Moreover, consistent with evidence from previous research, public transit reforms implemented between 2007 and 2015 throughout Colombian cities appear to have contributed substantially to the declines in transit ridership observed across the country. Findings in this paper inform policy-targeted insights and contribute to current debates of the links between ride-hailing and public transit in cities in Latin America.

scholarly journals Research on feeder network design: a case study of feeder service for the port of Kotka

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Yisong Lin ◽  
Xuefeng Wang ◽  
Hao Hu ◽  
Hui Zhao
Keyword(s):  
Control System ◽  
Numerical Experiment ◽  
Network Design ◽  
Evaluation System ◽  
Real Life ◽  
Objective Evaluation ◽  
Multi Objective Optimization ◽  
Real Life Data ◽  
The Mathematical Model

Abstract By exemplifying the feeder service for the port of Kotka, this study proposed a multi-objective optimization model for feeder network design. Innovative for difference from the single-objective evaluation system, the objective of feeder network design was proposed to include single allocation cost, intra-Europe cargo revenue, equipment balance, sailing cycle, allocation utilization, service route competitiveness, and stability. A three-stage control system was presented, and numerical experiment based on container liner’s real life data was conducted to verify the mathematical model and the control system. The numerical experiment revealed that the three-stage control system is effective and practical, and the research ideas had been applicable with satisfactory effect.

Why Does Construct Validity Matter in Measuring Implementation Fidelity? A Methodological Case Study

2021 ◽  
pp. 153450842199877
Author(s):  
Wilhelmina van Dijk ◽  
A. Corinne Huggins-Manley ◽  
Nicholas A. Gage ◽  
Holly B. Lane ◽  
Michael Coyne
Keyword(s):  
Construct Validity ◽  
Reading Instruction ◽  
Model Building ◽  
Implementation Fidelity ◽  
Modeling Framework ◽  
Relative Rank ◽  
Rank Ordering ◽  
Adherence Data ◽  
Funded Project

In reading intervention research, implementation fidelity is assumed to be positively related to student outcomes, but the methods used to measure fidelity are often treated as an afterthought. Fidelity has been conceptualized and measured in many different ways, suggesting a lack of construct validity. One aspect of construct validity is the fidelity index of a measure. This methodological case study examined how different decisions in fidelity indices influence relative rank ordering of individuals on the construct of interest and influence our perception of the relation between the construct and intervention outcomes. Data for this study came from a large State-funded project to implement multi-tiered systems of support for early reading instruction. Analyses were conducted to determine whether the different fidelity indices are stable in relative rank ordering participants and if fidelity indices of dosage and adherence data influence researcher decisions on model building within a multilevel modeling framework. Results indicated that the fidelity indices resulted in different relations to outcomes with the most commonly used fidelity indices for both dosage and adherence being the worst performing. The choice of index to use should receive considerable thought during the design phase of an intervention study.

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