Highway Data Quality Report Card (HDQRC): A Conceptual Framework of Pavement Management Data

Author(s):  
Asregedew Woldesenbet ◽  
H. David Jeong
Author(s):  
Gregory A. Coté ◽  
Badih Joseph Elmunzer ◽  
Erin Forster ◽  
Robert A. Moran ◽  
John G. Quiles ◽  
...  

2020 ◽  
pp. 1-15
Author(s):  
Chi Wai Yu ◽  
Y. Jane Zhang ◽  
Sharon Xuejing Zuo

A substantial proportion of individuals who complete the widely used multiple price list (MPL) instrument switch back and forth between the safe and the risky choice columns, behavior that is believed to indicate lowquality decision making. We develop a conceptual framework to formally define decision-making quality, test explanations for the nature of low-quality decision making, and introduce a novel “nudge” treatment that reduced multiple switching behavior and increased decision-making quality. We find evidence in support of task-specific miscomprehension of the MPL and that nonmultiple switchers and relatively high-cognitive-ability individuals are not immune to low-quality decision making.


2020 ◽  
Vol 10 (2) ◽  
pp. 112-121
Author(s):  
Sapto Irawan ◽  
Danu Prasetyo

This quality report analysis was conducted to see the quality achievement of SMK PGRI 1 Salatiga in one year for School Health Efforts (UKS) in 2018. This research describes descriptively both qualitatively and quantitatively the results of the quality report card achievement. It was shown that the achievement score in the School Health Business Report Card (UKS) was 6.6 with the category of UKS 4. Referring to the results of the analysis of the description above, it showed that the achievement report had obtained the four-star category. Validation of the achievement of the School Health Effort report card (UKS) is needed to show the real condition of the school. The achievement of the four-star category is strongly influenced by two important factors in its implementation, namely: 1) the awareness of all school members to realize a healthy lifestyle; 2) the facilities and infrastructure support in realizing healthy living behavior.


2017 ◽  
Vol 20 (2) ◽  
Author(s):  
Flavia Serra ◽  
Adriana Marotta

The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry. DQ in this kind of systems becomes essential. This work presents a proposal for identifying DQ problems in the domain of DWS, considering the different contexts that exist in each system component. This proposal may act as a first conceptual framework that guides the DQ-responsible in the management of DQ in DWS. The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through context-based DQ metrics.


Author(s):  
Haiping Zhou ◽  
Zhongren Wang ◽  
Robert Sherrick ◽  
Scott Mathison

The California Department of Transportation (Caltrans) awarded a contractor a three-year contract to collect, analyze, and report pavement condition of the state highway system for 2018 and 2019 using automated pavement condition survey (APCS). The contract covers 12 Caltrans districts with roughly 52,000 lane miles of on-system roadways and 6,000 lane miles of off-system roadways. Before investing significant resources on statewide APCS data collection, Caltrans and the contractor initiated a pilot study. The purpose is to establish a workable process for data quality control (QC) and quality assurance (QA), making sure the data collected closely reflect the field condition. The pilot study was conducted on selected routes in Caltrans District 12. The study included a total of 113 lane miles of roadway, representing roughly 5% of the total lane miles in the district. Of these lane miles, 69 lane miles are asphalt pavements and 44 lane miles are jointed plain concrete pavements. The developed data QC/QA process functioned very well. With this process, the contractor was responsible for performing the QC of the APCS data before submitting to Caltrans. Caltrans performed data QA, which included data completeness check; image review; field review and office verification; data upload into Caltrans pavement management system, and year-by-year data consistency check. The joint effort has resolved many data inconsistency issues caused either by interpretation or software issues. The data quality was thus well improved. It is recommended that this QC/QA process be implemented for all APCS data collections in California.


2021 ◽  
Vol 3 (3) ◽  
pp. 280-283
Author(s):  
Gunarti Sukriyatun ◽  
Maemunah Sa’diyah

  This study aims to determine (a) the implementation of Integrated Quality Management (TQM) in YATASHI Madrasah (MTs) Bogor City (b) the results of quality report cards for YATASHI Madrasah Tsanawiyah (MTs) Bogor City. This study uses the expos faxto method from the results of the YATASHI Madrasah Tsanawiyah (MTs) performance report cards, Bogor city. The quality report card instrument is an instrument that has been standardized nationally, filled in by the Head of Madrasah, deputy head of madrasah, teachers, madrasa committee, education staff and students. The results of the Madrasah performance quality report card show that the Discipline of Madrasah Citizens has fulfilled the quality culture aspect of 93%. The self-development of teachers and education personnel is achieved at a performance level of 75% of the Quality Culture Aspect. Preparation, implementation and assessment of the perfect learning process meets the 100% performance level. The use of learning materials is achieved 95% and Financing Planning is met at a performance level of 94%. The conclusion from the Madrasah performance quality report card (YATASHI) is on average very good, but there is something that still needs to be improved, namely the education personnel development component.


2018 ◽  
Vol 87 (6) ◽  
pp. AB114-AB115
Author(s):  
Andrew J. Gawron ◽  
Yiwen Yao ◽  
William Thompson ◽  
Olga Patterson ◽  
Garrett G. Cole ◽  
...  

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