Meta-Analysis and the Value of Travel Time Savings: A Transatlantic Perspective in Passenger Transport

2007 ◽  
Vol 7 (4) ◽  
pp. 377-396 ◽  
Author(s):  
Luca Zamparini ◽  
Aura Reggiani
Keyword(s):  
Travel Time ◽  
Meta Analysis ◽  
Passenger Transport ◽  
Travel Time Savings ◽  
Time Savings

scholarly journals The value of travel time savings in freight transport: a meta-analysis

2021 ◽  
Author(s):  
Jawaher Binsuwadan ◽  
Gerard De Jong ◽  
Richard Batley ◽  
Phill Wheat
Keyword(s):  
Travel Time ◽  
Cost Benefit Analysis ◽  
Meta Analysis ◽  
Cost Benefit ◽  
Freight Transport ◽  
Survey Respondent ◽  
Analysis Method ◽  
Marginal Rate ◽  
Travel Time Savings ◽  
Time Savings

AbstractThe value of freight travel time savings (VFTTS) is a monetary value that is considered an important input into cost–benefit analysis and traffic forecasting. The VFTTS is defined as the marginal rate of substitution between travel time and cost and may therefore differ across firms, time and countries. The paper aims to explain variations in the VFTTS by using the meta-analysis method. The analysis covers 106 monetary valuations extracted from 56 studies conducted from 1988 to 2018 in countries across the globe. The meta-analysis method determines the factors that have an impact on these VFTTS variations. The paper briefly introduces the VFTTS concept and describes the adopted meta-analysis methodology, wherein different meta-models are used in VFTTS estimations. The results highlight the necessity of including multiple explanatory variables to ensure adequate explanation of the VFTTS variations. The findings also show that GDP per capita, transport mode and type of survey respondent are statistically significant variables. The paper sheds some light on the variations, thereby advancing the understanding of each factor’s effects on the VFTTS. Furthermore, meta-model outcomes are used to generate new values of travel time savings for different transport modes in freight transport, for several countries. These implied VFTTS can be used as benchmarks to assess existing evidence or provide new evidence to countries where no such values exist.

An international meta-analysis of values of travel time savings

2009 ◽  
Vol 32 (4) ◽  
pp. 315-325 ◽  
Author(s):  
J.D. Shires ◽  
G.C. de Jong
Keyword(s):  
Travel Time ◽  
Meta Analysis ◽  
Travel Time Savings ◽  
Time Savings

Using GTFS to Calculate Travel Time Savings Potential of Bus Preferential Treatments

2021 ◽  
pp. 036119812110092
Author(s):  
Daniel Arias ◽  
Kara Todd ◽  
Jennifer Krieger ◽  
Spencer Maddox ◽  
Pearse Haley ◽  
...  
Keyword(s):  
Travel Time ◽  
Planning Process ◽  
Operating Cost ◽  
Flow Characteristics ◽  
Travel Time Savings ◽  
Bus Lane ◽  
Time Savings ◽  
Bus Network ◽  
Bus Networks ◽  
Transit Agencies

Dedicated bus lanes and other transit priority treatments are a cost-effective way to improve transit speed and reliability. However, creating a bus lane can be a contentious process; it requires justification to the public and frequently entails competition for federal grants. In addition, more complex bus networks are likely to have unknown locations where transit priority infrastructure would provide high value to riders. This analysis presents a methodology for estimating the value of bus preferential treatments for all segments of a given bus network. It calculates the passenger-weighted travel time savings potential for each inter-stop segment based on schedule padding. The input data, ridership data, and General Transit Feed Specification (GTFS) trip-stop data are universally accessible to transit agencies. This study examines the 2018 Metropolitan Atlanta Rapid Transit Authority (MARTA) bus network and identifies a portion of route 39 on Buford Highway as an example candidate for a bus lane corridor. The results are used to evaluate the value of time savings to passengers, operating cost savings to the agency, and other benefits that would result from implementing bus lanes on Buford Highway. This study does not extend to estimating the cost of transit priority infrastructure or recommending locations based on traffic flow characteristics. However, it does provide a reproducible methodology to estimate the value of transit priority treatments, and it identifies locations with high value, all using data that are readily available to transit agencies. Conducting this analysis provides a foundation for beginning the planning process for transit priority infrastructure.

scholarly journals The effect of health benefits on the value of travel time savings in active transport

2021 ◽  
Vol 21 ◽  
pp. 101074
Author(s):  
Stefan Flügel ◽  
Knut Veisten ◽  
Hanne Beate Sundfør ◽  
Guri Natalie Jordbakke ◽  
Nina Hulleberg ◽  
...  
Keyword(s):  
Travel Time ◽  
Active Transport ◽  
Health Benefits ◽  
Travel Time Savings ◽  
Time Savings

Choice of Mode and the Value of Travel Time Savings for the Journey to Work

1974 ◽  
Vol 50 (1) ◽  
pp. 94-112 ◽  
Author(s):  
D. A. Hensher ◽  
W. E. Hotchkiss
Keyword(s):  
Travel Time ◽  
Travel Time Savings ◽  
Time Savings ◽  
Journey To Work

scholarly journals Equity Effects of Congestion Charges: An Exploratory Analysis with MATSim

2017 ◽  
Vol 2670 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Lucas Meyer de Freitas ◽  
Oliver Schuemperlin ◽  
Milos Balac ◽  
Francesco Ciari
Keyword(s):  
Travel Time ◽  
Large Scale ◽  
Agent Based ◽  
Promising Tool ◽  
Travel Time Savings ◽  
Time Savings ◽  
Time Changes ◽  
High Level ◽  
Congestion Charging ◽  
Equity Effects

This paper shows an application of the multiagent, activity-based transport simulation MATSim to evaluate equity effects of a congestion charging scheme. A cordon pricing scheme was set up for a scenario of the city of Zurich, Switzerland, to conduct such an analysis. Equity is one of the most important barriers toward the implementation of a congestion charging system. After the challenges posed by equity evaluations are examined, it is shown that agent-based simulations with heterogeneous values of time allow for an increased level of detail in such evaluations. Such detail is achieved through a high level of disaggregation and with a 24-h simulation period. An important difference from traditional large-scale models is the low degree of correlation between travel time savings and welfare change. While traditional equity analysis is based on travel time savings, MATSim shows that choice dimensions not included in traditional models, such as departure time changes, can also play an important role in equity effects. The analysis of the results in light of evidence from the literature shows that agent-based models are a promising tool to conduct more complete equity evaluations not only of congestion charges but also of transport policies in general.

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