Understanding Statistics in Maintenance Quality Assurance Programs

Schmitt, Robert; Owusu-Ababio, Samuel; Weed, Richard M; Nordheim, Erik V.

doi:10.3141/1948-03

Cited by 7 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The original performance standards were then adopted to focus on stormwater drainage assets in local urban areas. The second component was developed by adopting the level-of-service (LOS) method for assessing compliance with the performance standards (Ozbek, de la Garza, & Piñero, 2010; Schmitt, Owusu-Ababio, Weed, & Nordheim, 2006). Determining a LOS for infrastructure assets and maintenance activities includes the inspection of randomly selected sample units (e.g., portion of a face block).…”

Section: Development Of the Participatory Assessment Technique For Inmentioning

confidence: 99%

The development of a participatory assessment technique for infrastructure: Neighborhood-level monitoring towards sustainable infrastructure systems

Hendricks

Meyer

Gharaibeh

et al. 2018

Sustainable Cities and Society

View full text Add to dashboard Cite

Climate change and increasing natural disasters coupled with years of deferred maintenance have added pressure to infrastructure in urban areas. Thus, monitoring for failure of these systems is crucial to prevent future impacts to life and property. Participatory assessment technique for infrastructure provides a community-based approach to assess the capacity and physical condition of infrastructure. Furthermore, a participatory assessment technique for infrastructure can encourage grassroots activism that engages residents, researchers, and planners in the identification of sustainable development concerns and solutions. As climate change impacts disproportionately affect historically disenfranchised communities, assessment data can further inform planning, aiming to balance the distribution of public resources towards sustainability and justice. This paper explains the development of the participatory assessment technique for infrastructure that can provide empirical data about the condition of infrastructure at the neighborhood-level, using stormwater systems in a vulnerable neighborhood in Houston, Texas as a case study. This paper argues for the opportunity of participatory methods to address needs in infrastructure assessment and describes the ongoing project testing the best use of these methods.

show abstract

Section: Development Of the Participatory Assessment Technique For Inmentioning

confidence: 99%

The development of a participatory assessment technique for infrastructure: Neighborhood-level monitoring towards sustainable infrastructure systems

Hendricks

Meyer

Gharaibeh

et al. 2018

Sustainable Cities and Society

View full text Add to dashboard Cite

show abstract

“…Typically, this percentage ranges between 5 and 15 of the network. Schmitt et al (2006) suggested that a sample size of 2 -5% of the population is adequate to determine the average condition of a highway network; however, they recommended a sample size of 10-15% for determining the distribution of condition and the percentage of the network below (or above) a given target LOS. Although this approach for determining sample size is relatively simple, it may not be justified statistically.…”

Section: Literature Reviewmentioning

confidence: 97%

“…Individual highway agencies have also developed roadside performance standards as part of their MQA programmes. A survey of 39 highway agencies in the USA and Canada (located in 36 states and 3 Canadian provinces) found that 83% of these agencies have an MQA programme (Adams & Smith, 2006;Schmitt, Owusu-Ababio, Weed, & Nordheim, 2006). In most of these MQA programmes, LOS is used as an overall measure of roadway condition.…”

Section: Literature Reviewmentioning

confidence: 98%

A condition assessment method for roadside assets

Gharaibeh

Lindholm

2013

Structure and Infrastructure Engineering

View full text Add to dashboard Cite

Infrastructure condition assessments provide key information for monitoring the quality of infrastructure, planning and budgeting of maintenance and rehabilitation activities and establishing performance goals. Although the literature is rich in condition assessment methods for roadway pavement and bridges (and to some extent for traffic signs), it is lacking such methods for roadside assets. This paper describes the development and validation of a condition assessment method for 12 roadside asset types and maintenance activities that are related to roadway safety, drainage, cleanliness and vegetation. These assets and maintenance activities are located in the area between the outside edges of the outside shoulders and the right-of-way boundaries. On divided highways, the median is also included. The developed condition assessment method consists of a set of performance standards, a visual inspection procedure to assess compliance with these standards and a statistical analysis procedure to determine the roadside level of service. To test and validate the developed method, it was applied to five highway corridors in Texas, USA, representing different climatic conditions, topography, traffic volume and population density (urban vs. rural). These field trials provided insights into the developed method, including practicality, reproducibility and probability distribution function which best represents the sample unit score.

show abstract

Roadway Asset Inspection Sampling Using High‐Dimensional Clustering and Locality‐Sensitivity Hashing

Zhuo

Liu

2018

Computer aided Civil Eng

View full text Add to dashboard Cite

A high-dimensional clustering-based sampling method for roadway asset condition inspection is proposed in this study. The method complements existing literature by selecting sample roadway segments that contain multiple types of assets (e.g., signage, shoulder work, pavement marking, etc.) for the accurate estimation of their respective level of maintenance (LOMs). This is consistent with the standard maintenance procedure as inspection activities are often conducted on roadway segment basis. The proposed method consists of three components: current condition estimation, similarity matrix construction, and stratification. Current condition estimation predicts assets' "current condition" by considering historical inspection records. Similarity matrix construction represents the core piece of the sampling framework, which employs locality-sensitive hashing algorithm to define the similarity between segments. The stratification process is implemented with spectral clustering, which assigns segments into clusters based on the similarity matrix. The proposed method outperforms simple random sampling, which is widely used in practice, especially under the circumstances where LOM varies greatly across assets. The main highlight of the proposed method is the ability to select sample segments with multiple types of assets that are representative of their respective LOMs of the full inventory, which directly translates into an efficient maintenance activity management. The method is implemented using asset inspection records in the state of Utah from September, 2014 to March 2016. It represents a potentially useful tool for agencies to effectively conduct asset inspection and

show abstract

Understanding Statistics in Maintenance Quality Assurance Programs

Cited by 7 publications

References 4 publications

The development of a participatory assessment technique for infrastructure: Neighborhood-level monitoring towards sustainable infrastructure systems

The development of a participatory assessment technique for infrastructure: Neighborhood-level monitoring towards sustainable infrastructure systems

A condition assessment method for roadside assets

Roadway Asset Inspection Sampling Using High‐Dimensional Clustering and Locality‐Sensitivity Hashing

Contact Info

Product

Resources

About