scholarly journals Agent-based Congestion Pricing and Transport Routing with Heterogeneous Values of Travel Time Savings

2016 ◽  
Vol 83 ◽  
pp. 908-913 ◽  
Author(s):  
Ihab Kaddoura ◽  
Kai Nagel
Keyword(s):  
Travel Time ◽  
Congestion Pricing ◽  
Agent Based ◽  
Travel Time Savings ◽  
Time Savings

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.

Traveler Response to Coexisting Multiple Pricing Schemes

2013 ◽  
Vol 2345 (1) ◽  
pp. 63-73
Author(s):  
Elaheh Khademi ◽  
Harry Timmermans ◽  
Aloys Borgers
Keyword(s):  
Travel Time ◽  
Mixed Logit ◽  
Congestion Pricing ◽  
Empirical Work ◽  
Negative Attitude ◽  
Lattice Design ◽  
Pricing Policies ◽  
Travel Time Savings ◽  
Time Savings ◽  
Pricing Schemes

Many academics and transportation planners seem convinced that pricing schemes may be one of the most effective policy instruments to change travelers’ behavior, to minimize congestion and emissions, or to optimize system use otherwise. Consequently, much empirical work has been conducted, although it is primarily about single pricing policies. Travelers’ adaptive behavior toward accumulated transport charges has not yet received much attention; therefore, this study addressed this underresearched issue. This paper documents the construction, implementation, and analysis of a mixture-amount experiment involving three mixtures of pricing schemes—toll road, congestion pricing, and parking price—and three travel budget levels per day. Basic mixed-amount design applications were extended to include an attribute associated with each pricing policy to capture different levels of travel time savings. With seven mixtures of the simplex–lattice design, a second-degree polynomial model was estimated to predict choice of amount and mixture of expenditures to different pricing schemes. This procedure captured the trade-off with level of travel time savings. In February 2012 in the Netherlands, an Internet-based stated choice experiment was conducted with 304 respondents to collect data for the model. A mixed logit model was estimated to model behavioral response. Results indicate the negative attitude of the sample toward their willingness to pay for pricing policies. Respondents seemed more sensitive to congestion pricing than to the two other policies. Furthermore, the effect of sociodemographic variables on choice probabilities was investigated. Income and public transport accessibility for conducting the peak hour trip were the variables that produced the most effect on respondents’ preference.

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 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.

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

Illustrating the Monetary Impact of Transportation Projects/Alternatives using the Values of Travel Time and Travel Time Reliability

2018 ◽  
Vol 2672 (51) ◽  
pp. 88-98 ◽  
Author(s):  
Venkata R. Duddu ◽  
Srinivas S. Pulugurtha ◽  
Praveena Penmetsa
Keyword(s):  
Travel Time ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Transportation Systems ◽  
Travel Time Reliability ◽  
Benefit Analysis ◽  
Transportation Projects ◽  
Travel Time Savings ◽  
Time Savings ◽  
The Impact

State agencies, regional agencies, cities, towns, and local municipalities design and maintain transportation systems for the benefit of users by improving mobility, reducing travel time, and enhancing safety. Cost–benefit analysis based on travel time savings and the value of reliability helps these agencies in prioritizing transportation projects or when evaluating transportation alternatives. This paper illustrates the use of monetary values of travel time savings and travel time reliability, computed for the state of North Carolina, to help assess the impact of transportation projects or alternatives. The results obtained indicate that, based on the illustration of the effect and impact of various transportation projects or alternatives, both improved travel time and reliability on roads yield significant monetary benefits. However, from cost–benefit analysis, it is observed that greater benefits can be achieved through improved reliability compared with benefits from a decrease in travel time for a given section of road.

Uban Tolled Roads and the Value of Travel Time Savings

1990 ◽  
Vol 66 (2) ◽  
pp. 146-156 ◽  
Author(s):  
DAVID A. HENSHER ◽  
FRANK W. MILTHORPE ◽  
NARIIDA C. SMITH ◽  
PETER O. BARNARD
Keyword(s):  
Travel Time ◽  
Travel Time Savings ◽  
Time Savings

Quantifying the Impact of the COVID-19 Pandemic on Passenger Vehicle Drivers’ Willingness to Pay for Travel Time Savings and Reliability

2021 ◽  
pp. 036119812110388
Author(s):  
Tristan Cherry ◽  
Mark Fowler ◽  
Claire Goldhammer ◽  
Jeong Yun Kweun ◽  
Thomas Sherman ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Travel Time ◽  
Travel Behavior ◽  
Local Governments ◽  
Consumer Preferences ◽  
Stated Preference ◽  
Travel Time Reliability ◽  
Travel Time Savings ◽  
Time Savings ◽  
The Impact

The COVID-19 pandemic has fundamentally disrupted travel behavior and consumer preferences. To slow the spread of the virus, public health officials and state and local governments issued stay-at-home orders and, among other actions, closed nonessential businesses and educational facilities. The resulting recessionary effects have been particularly acute for U.S. toll roads, with an observed year-over-year decline in traffic and revenue of 50% to 90% in April and May 2020. These disruptions have also led to changes in the types of trip that travelers make and their frequency, their choice of travel mode, and their willingness to pay tolls for travel time savings and travel time reliability. This paper describes the results of travel behavior research conducted on behalf of the Virginia Department of Transportation before and during the COVID-19 pandemic in the National Capital Region of Washington, D.C., Maryland, and Northern Virginia. The research included a stated preference survey to estimate travelers’ willingness to pay for travel time savings and travel time reliability, to support forecasts of traffic and revenue for existing and proposed toll corridors. The survey collected data between December 2019 and June 2020. A comparison of the data collected before and during the pandemic shows widespread changes in travel behavior and a reduction in willingness to pay for travel time savings and travel time reliability across all traveler types, particularly for drivers making trips to or from work. These findings have significant implications for the return of travelers to toll corridors in the region and future forecasts of traffic and revenue.

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