Mechanistic–Empirical Modeling in Network-Level Pavement Management

2009 ◽  
Vol 2093 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Scott Schram ◽  
Magdy Abdelrahman
Keyword(s):  
Pavement Management ◽  
Empirical Modeling

Economic Value of Pavement for the Elderly: Case Study of Bangkok, Thailand

2018 ◽  
Vol 9 (11) ◽  
pp. 927-937
Author(s):  
Somskaow Bejranonda ◽  
◽  
Aekkapat Laksanacom ◽  
Waranan Tantiwat ◽  
◽  
...  
Keyword(s):  
Contingent Valuation Method ◽  
Economic Value ◽  
The Elderly ◽  
Pavement Management ◽  
Sustainable Urban Development ◽  
Public Facility ◽  
Average Value ◽  
Valuation Method ◽  
The People ◽  
The City

Based on the concept of a livable and global age-friendly city, pavements are a public facility that the city should provide to the people. Appropriate pavements will be beneficial for the people, particularly for good quality of life for the elderly to move around in the city. This study explored the behaviour of the elderly in the use of pavements and the problems confronted. The study also evaluated the value of the pavement walking area as it reflected the benefits of pavements to the elderly by applying the Contingent Valuation Method (CVM). During March-May 2017, data were collected using interviews with 601 elderly living in Bangkok. The study indicated that the main problem for senior citizens regarding their use of pavements was from being disturbed by motorbikes riding on the pavements. The average value of pavement for the elderly was about THB 160 (USD 5.30) per person per year. Thus, the benefits of pavements to the elderly in Bangkok was approximately THB 158 million (USD 5.2 million) per year. Thus, policy makers should make proper budget allocations for elderly-friendly pavement management and seriously address the problems confronting the elderly in using pavements, to maximize the usefulness of pavements not only for the elderly but also for the public and to support a sustainable urban development.

Wildfire Ignitions: A Review of the Science and Recommendations for Empirical Modeling

2013 ◽  
Author(s):  
Jeffrey P. Prestemon ◽  
Todd J. Hawbaker ◽  
Michael Bowden ◽  
John Carpenter ◽  
Maureen T. Brooks ◽  
...  
Keyword(s):  
Empirical Modeling

The approaches to empirical modeling of an intercorporate opportunism

2017 ◽  
Author(s):  
Ivan Aleksandrovich Borisov ◽  
◽  
Valentina Mikhailovna Sharapova ◽  
Keyword(s):  
Empirical Modeling

Local Calibration of Pavement Mechanistic-Empirical Faulting Reliability using Pavement Management Data

2021 ◽  
pp. 036119812110013
Author(s):  
Lucio Salles de Salles ◽  
Lev Khazanovich
Keyword(s):  
Model Calibration ◽  
Prediction Models ◽  
Plain Concrete ◽  
Performance Model ◽  
Pavement Management ◽  
Pavement Design ◽  
Reliability Model ◽  
Transverse Joint ◽  
Design Characteristics ◽  
And Performance

The Pavement ME transverse joint faulting model incorporates mechanistic theories that predict development of joint faulting in jointed plain concrete pavements (JPCP). The model is calibrated using the Long-Term Pavement Performance database. However, the Mechanistic-Empirical Pavement Design Guide (MEPDG) encourages transportation agencies, such as state departments of transportation, to perform local calibrations of the faulting model included in Pavement ME. Model calibration is a complicated and effort-intensive process that requires high-quality pavement design and performance data. Pavement management data—which is collected regularly and in large amounts—may present higher variability than is desired for faulting performance model calibration. The MEPDG performance prediction models predict pavement distresses with 50% reliability. JPCP are usually designed for high levels of faulting reliability to reduce likelihood of excessive faulting. For design, improving the faulting reliability model is as important as improving the faulting prediction model. This paper proposes a calibration of the Pavement ME reliability model using pavement management system (PMS) data. It illustrates the proposed approach using PMS data from Pennsylvania Department of Transportation. Results show an increase in accuracy for faulting predictions using the new reliability model with various design characteristics. Moreover, the new reliability model allows design of JPCP considering higher levels of traffic because of the less conservative predictions.

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