Major Corridor Investment-Benefit Analysis System

2000 ◽  
Vol 1732 (1) ◽  
pp. 92-98 ◽  
Author(s):  
John G. Kaliski ◽  
Stephen C. Smith ◽  
Glen E. Weisbrod
Keyword(s):  
Travel Demand ◽  
Benefit Analysis ◽  
Demand Model ◽  
Analysis Model ◽  
Conceptual Approach ◽  
Benefit Cost Analysis ◽  
Travel Time Savings ◽  
Analysis System ◽  
Benefit Cost ◽  
The Impact

The major corridor investment-benefit analysis system recently developed for the Indiana Department of Transportation (INDOT) is discussed. The purpose of the system is to provide an analytical tool for use by INDOT in evaluating and comparing the impacts of major corridor highway investments in the state. The system combines a statewide travel demand model, a user benefit-cost analysis model, and a regional econometric model. The conceptual approach behind the model is described, and the results from an application of the model to analyze the transportation and economic impacts of the upgrade of US-31 between Indianapolis and South Bend, Indiana, to Interstate level of service is presented. Issues addressed by the model include the impact of travel time savings and other user benefits on business users of the highway, as well as the potential for the study corridor to attract new businesses or tourists as a result of improved access to markets.

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.

scholarly journals Comparing the Application of CEA and BCA to Tuberculosis Control Interventions in South Africa

2019 ◽  
Vol 10 (S1) ◽  
pp. 132-153 ◽  
Author(s):  
Thomas Wilkinson ◽  
Fiammetta Bozzani ◽  
Anna Vassall ◽  
Michelle Remme ◽  
Edina Sinanovic
Keyword(s):  
South Africa ◽  
South African ◽  
Methodological Approach ◽  
Value Of Statistical Life ◽  
Policy Recommendations ◽  
Benefit Cost Analysis ◽  
Tb Control ◽  
Statistical Life ◽  
Benefit Cost ◽  
The Impact

Achieving ambitious targets to address the global tuberculosis (TB) epidemic requires consideration of the impact of competing interventions for improved identification of patients with TB. Cost-effectiveness analysis (CEA) and benefit-cost analysis (BCA) are two approaches to economic evaluation that assess the costs and effects of competing alternatives. However, the differing theoretical basis and methodological approach to CEA and BCA is likely to result in alternative analytical outputs and potentially different policy interpretations. A BCA was conducted by converting an existing CEA on various combinations of TB control interventions in South Africa using a benefits transfer approach to estimate the value of statistical life (VSL) and value of statistical life year (VSLY). All combinations of interventions reduced untreated active disease compared to current TB control, reducing deaths by between 5,000 and 75,000 and resulting in net benefits of Int$3.2–Int$137 billion (ZAR18.1 billion to ZAR764 billion) over a 20-year period. This analysis contributes to development and application of BCA methods for health interventions and demonstrates that further investment in TB control in South Africa is expected to yield significant benefits. Further work is required to guide the appropriate analytical approach, interpretation and policy recommendations in the South African policy perspective and context.

Estimating Costs and Benefits of Transportation Corridor Alternatives

1997 ◽  
Vol 1606 (1) ◽  
pp. 115-123
Author(s):  
Patrick Decorla-Souza ◽  
Brian Gardner ◽  
Michael Culp ◽  
Jerry Everett ◽  
Chimai Ngo ◽  
...  
Keyword(s):  
Decision Making ◽  
Travel Demand ◽  
Salt Lake ◽  
Salt Lake City ◽  
Costs And Benefits ◽  
Benefit Cost Analysis ◽  
Demand Models ◽  
Data Output ◽  
Lake City ◽  
Benefit Cost

Although benefit-cost assessment is a useful tool in structuring the decision making process, it has not generally been used to assist in multi-modal decision making in metropolitan areas. Also, although detailed zone-to-zone trip information can be obtained from metropolitan travel-demand models, this information is not currently used by planners in developing detailed information on cross-modal comparisons of costs and benefits. A real-world application of benefit-cost analysis for multi-modal decision making using detailed zone-to-zone trip data output from travel-demand models for the I-15 corridor in Salt Lake City is presented. The analysis was conducted at two levels: corridor and region-wide. The research suggests that, when major investments are to be evaluated, the analyst should be very cautious in performing corridor-level analyses when such a trip-based approach is used, because of significant effects on the evaluation caused by traffic diverted into (or out of) the corridor.

The costs and benefits of benefit-cost analysis

1997 ◽  
Vol 2 (2) ◽  
pp. 195-221 ◽  
Author(s):  
GRACIELA CHICHILNISKY
Keyword(s):  
Cost Analysis ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Costs And Benefits ◽  
Trade Cost ◽  
Benefit Cost Analysis ◽  
Benefit Cost

Among the tools of the economic trade, cost-benefit analysis is the most widely used in policy circles. Asking whether there is a role for cost-benefit analysis is like asking whether there is a role for the weatherman. Of course there is.

Preliminary Cost-Benefit Analysis (CBA) for Safety Assist Technologies in ASEAN NCAP – Rationalizing the Impact to Road Safety for Malaysia’s Case

2014 ◽  
Vol 663 ◽  
pp. 596-603
Author(s):  
Zulhaidi Mohd Jawi ◽  
Aqbal Hafeez Ariffin ◽  
Yahaya Ahmad ◽  
Khairil Anwar Abu Kassim ◽  
Norlen Mohamed ◽  
...  
Keyword(s):  
Road Safety ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Cost Effective ◽  
Cost Ratio ◽  
Benefit Analysis ◽  
Benefit Cost Ratio ◽  
Benefit Cost ◽  
The Impact ◽  
Rating Scheme

The newly established New Car Assessment Program for Southeast Asian Countries (ASEAN NCAP) has incorporated Safety Assist Technologies (SATs) in its automobile safety rating scheme. In order for any assessed car to be eligible for the maximum 5-star rating, it should first be equipped with Electronic Stability Control (ESC) and fitted with seatbelt reminder (SBR). However, since these SATs are not being evaluated in their performance by the means of field testing, this paper explains the benefit of having these SATs through Cost-Benefit Analysis (CBA) which help to rationalize the importance of SATs in preventing road accidents or mitigating severity of injuries. Due to data limitation, this preliminary CBA assessment will only be focusing on Malaysia’s situation and is based on published sources and the authors’ best estimates. This study also includes the Cost-Benefit Analysis on Anti-lock Braking System (ABS), which is the basis for ESC technology, in preparation for its inclusion in the future rating scheme to expedite the vision of making ABS as standard fit in all ASEAN’s passenger cars. The preliminary result shows that all technologies – ESC, SBR and ABS – appear to be cost-effective (benefit/cost-ratio > 3) or most likely cost effective (1 < benefit/cost-ratio < 3) in Malaysia’s road safety situation per se.

scholarly journals Impact assessment of short-term management measures on travel demand

2020 ◽  
Vol 53 (1) ◽  
pp. 37-52
Author(s):  
Jinit J. M. D’Cruz ◽  
Anu P. Alex ◽  
V. S. Manju ◽  
Leema Peter
Keyword(s):  
Travel Demand ◽  
Public Transit ◽  
Demand Management ◽  
Simulation Software ◽  
Demand Model ◽  
Short Term ◽  
Travel Demand Management ◽  
Management Measures ◽  
The Impact ◽  
Travel Demand Model

Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributing the demand rather than increasing the supply. To analyze the impact of TDM measures, the existing travel demand of the area should be identified. In order to get quantitative information on the travel demand and the performance of different alternatives or choices of the available transportation system, travel demand model has to be developed. This concept is more useful in developing countries like India, which have limited resources and increasing demands. Transport related issues such as congestion, low service levels and lack of efficient public transportation compels commuters to shift their travel modes to private transport, resulting in unbalanced modal splits. The present study explores the potential to implement travel demand management measures at Kazhakoottam, an IT business hub cum residential area of Thiruvananthapuram city, a medium sized city in India. Travel demand growth at Kazhakoottam is a matter of concern because the traffic is highly concentrated in this area and facility expansion costs are pretty high. A sequential four-stage travel demand model was developed based on a total of 1416 individual household questionnaire responses using the macro simulation software CUBE. Trip generation models were developed using linear regression and mode split was modelled as multinomial logit model in SPSS. The base year traffic flows were estimated and validated with field data. The developed model was then used for improving the road network conditions by suggesting short-term TDM measures. Three TDM scenarios viz; integrating public transit system with feeder mode, carpooling and reducing the distance of bus stops from zone centroids were analysed. The results indicated an increase in public transit ridership and considerable modal shift from private to public/shared transit.

scholarly journals Has Economic Analysis Improved Regulatory Decisions?

2008 ◽  
Vol 22 (1) ◽  
pp. 67-84 ◽  
Author(s):  
Robert W Hahn ◽  
Paul C Tetlock
Keyword(s):  
Economic Analysis ◽  
Regulatory Policy ◽  
Benefit Cost Analysis ◽  
Regulatory Decision ◽  
Improve Measurement ◽  
Economic Tools ◽  
Benefit Cost ◽  
Regulatory Decisions ◽  
The Impact

In response to the increasing impact of regulation, several governments have introduced economic analysis as a way of trying to improve regulatory policy. This paper provides a comprehensive assessment of government-supported economic analysis of regulation. We find that there is growing interest in the use of economic tools, such as benefit–cost analysis; however, the quality of analysis in the U.S. and European Union frequently fails to meet widely accepted guidelines. Furthermore, the relationship between analysis and policy decisions is tenuous. To address this situation, we recommend pursuing an agenda in which economics plays a more central role in regulatory decision making. In addition, we suggest that prediction markets could help improve regulatory policy and improve measurement of the impact of regulation.

Cost–Benefit Analysis in Legal Decision-Making

2017 ◽  
Author(s):  
Richard O. Zerbe
Keyword(s):  
Law And Economics ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Predictive Ability ◽  
Benefit Analysis ◽  
Government Investment ◽  
Benefit Cost Analysis ◽  
Actual Use ◽  
Investment Spending ◽  
Benefit Cost

Benefit-cost analysis (BCA), or cost-benefit analysis, is important in policy and law. This article introduces the nature and history of BCA to provide an understanding of the development of the benefit-cost concepts, objections to the concepts, and their actual use in legal and economic practice. The term ‘benefit-cost’ is used to differentiate from the term ‘cost-benefit’ used by engineers whose approach is more mechanical than terms of efficiency used in law and economics. BCA is seen as a useful tool with some positive predictive ability in determining judge's decisions. It also appears to contribute to greater efficiency in government investment spending.

scholarly journals What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network

2015 ◽  
Author(s):  
T. Donna Chen ◽  
Kara Kockelman ◽  
Yong Zhao
Keyword(s):  
Travel Demand ◽  
Choice Model ◽  
Mode Choice ◽  
Demographic Data ◽  
Time Of Day ◽  
Demand Model ◽  
Land Use Patterns ◽  
Transportation Demand ◽  
Step Model ◽  
The Impact

This paper examines the impact of travel demand modeling (TDM) disaggregation techniques in the context of medium-sized communities. Specific TDM improvement strategies are evaluated for predictive power and flexibility with case studies based on the Tyler, Texas, network. Results suggest that adding time-of-day disaggregation, particularly in conjunction with multi-class assignment, to a basic TDM framework has the most significant impacts on outputs. Other strategies shown to impact outputs include adding a logit mode choice model and incorporating a congestion feedback loop. For resource-constrained communities, these results show how model output and flexibility vary for different settings and scenarios.BACKGROUND Transportation directly provides for the mobility of people and goods, while influencing land use patterns and economic activity, which in turn affect air quality, social equity, and investment decisions. Driven by the need to forecast future transportation demand and system performance, Manheim (1979) and Florian et al. (1988) introduced a transportation analysis framework for traffic forecasting using aggregated data that provide the basis for what is known as the four-step model: a process involving trip generation, then trip distribution and mode choice, followed by route choice. Aggregating demographic data at the zone level, the four-step model generates trip productions based on socioeconomic data (e.g., household counts by income and size) and trip attractions primarily based on jobs counts. The model then proportionally distributes trips between each origin and destination (OD) zone pair based on competing travel attractions and impedances, under the assumption that OD pairings with higher travel costs draw fewer trips. Trips between each OD pair are split among a variety of transportation modes, allocating trips to private vehicle, transit, or other

Sign in / Sign up

Export Citation Format

Share Document