Quantifying Impacts of Transit Reliability on User Costs

2009 ◽  
Vol 2112 (1) ◽  
pp. 136-141 ◽  
Author(s):  
Jeffrey M. Casello ◽  
Akram Nour ◽  
Bruce Hellinga
1998 ◽  
Vol 1624 (1) ◽  
pp. 180-183 ◽  
Author(s):  
José Weissmann ◽  
Rob Harrison

The impact of a 44 000-kg (97,000-lb) tridem semitrailer truck on bridges on the urban and rural U.S. Interstate system is examined. The impacts are determined using a suite of models developed for FHWA policy use, and both agency and user costs are estimated. Bridges on the Interstate system that are already deficient at current loads are excluded from this analysis, which utilizes the National Bridge Inventory database and reports results for the rural and urban Interstate systems.


2021 ◽  
Vol 7 (18) ◽  
pp. 59-68
Author(s):  
Hassana Aliyu MOHAMMED ◽  
◽  
Abdurrahman ISIK ◽  
Paul Terhemba IOREMBER ◽  
◽  
...  

The study analyses the relationship between currency redenomination and financial sector transaction costs in Nigeria using a sample of 200 respondents from ten financial institutions. Applying the Chi-square test, the study reveals that high currency redenomination removes wasteful transactions removes user costs (difficulties arising from memorizing, calculating and carrying large sum of lowest denominations: coins and smaller notes). The results also show that currency redenomination influences inflationary pressure and currency liberalization in Nigeria. Based on the findings the study recommends the introduction of currency redenomination to facilitate the consumers' cash payment and reduce the cost incurred by producers and issuing authorities, and also make payment system more efficient and effective.


Author(s):  
Robert Collyer ◽  
Hasan Ahmed ◽  
Raj Navalurkar ◽  
Dawn Harrison

<p>The Brooklyn Bridge is a National Historic Landmark and a New York City Landmark that has been in use for over 137 years. This is one of the most pictured bridge structures in the world, while being used as a critical and vital part of the infrastructure carrying over 105,000 vehicles per day. This paper addresses the engineering challenges/solutions related to the most current rehabilitation work being performed.</p><p>Contract 6 (2009 to 2017) represents a $650 million investment into the bridge to maintain it in a State of Good Repair. Work included deck replacement using accelerated bridge construction techniques and complete painting and steel repairs of the main span. A high-level traffic study and traffic simulations were developed to evaluate differing closure scenarios and their impacts on user costs and the traveling public.</p><p>Contract 6A (2017 to 2019) represents a $25 million investment in maintaining the historic and aesthetic integrity of the Brooklyn Bridge structures. Approximately, 30,000 SF of granite stone cladding will be replaced under this contract.</p><p>Contract 7 represents a $300 million investment that will address the rehabilitation of the historic arches on both sides of the main span and strengthening of the Towers. Construction is expected to begin in 2019.</p><p>Contract 8 represents a $250 million investment. It is in the planning phase and will address a new promenade enhancement (widening) over the Brooklyn Bridge.</p><p>This paper discusses how these engineering challenges were faced and resolved.</p>


2017 ◽  
Vol 2639 (1) ◽  
pp. 110-118 ◽  
Author(s):  
André V. Moreira ◽  
Tien F. Fwa ◽  
Joel R. M. Oliveira ◽  
Lino Costa

Pavement maintenance and rehabilitation programming requires the consideration of conflicting objectives to optimize its life-cycle costs. While there are several approaches to solve multiobjective problems for pavement management systems, when user costs or environmental impacts are considered the optimal solutions are often impractical to be accepted by road agencies, given the dominating share of user costs in the total life-cycle costs. This paper presents a two-stage optimization methodology that considers maximization of pavement quality and minimization of agency costs as the objectives to be optimized at the pavement section level, while at the network level, the objectives are to minimize agency and user costs. The main goal of this approach is to provide decision makers with a range of optimal solutions from which a practically implementable one could be selected by the agency. A sensitivity analysis and some trade-off graphics illustrate the importance in balancing all the objectives to obtain reasonable solutions for highway agencies. Multiobjective optimization problems at both levels are solved using genetic algorithms. The results of a case study indicate the applicability of the methodology.


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