A time series analysis framework for transportation infrastructure management

Durango-Cohen, Pablo L.

doi:10.1016/j.trb.2006.08.002

Cited by 48 publications

(21 citation statements)

References 18 publications

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“…In the aforementioned national module, the indicators are assigned to 17 goals corresponding to the SDG defined in the 2030 Agenda (Table 1). The methods of dynamic analysis [62][63][64][65][66][67] were used to assess the implementation of sustainable development patterns in Poland. For each of the sustainable development indicators, individual dynamics indexes were calculated.…”

Section: Methodsmentioning

confidence: 99%

On the Road to Sustainability: Implementation of the 2030 Agenda Sustainable Development Goals (SDG) in Poland

Raszkowski

Bartniczak

2019

Sustainability

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The purpose of the study is to determine the implementation status of the 2030 Agenda sustainable development goals (SDG) in Poland. The current situation in the country is characterized in the introduction, with particular emphasis on the socio-economic situation, economic growth, sustainable development, crucial strategic documents, development policies, non-governmental organizations and good governance. The next part of the article presents the selected for analyses indicators, which monitor the implementation of SDG at the national level (National SDG indicators). The study covers the period 2010-2016. In terms of the research methodology, the dynamic analysis methods were used, i.e., individual dynamics indexes (fixed-base and chain type). The average rate of particular phenomena changes over time was also determined. The data for calculations were retrieved from Statistics Poland resources. The article provides recommendations regarding the effective implementation of SDG in Poland in the years to come. The research results showed that the implementation status of SDG is satisfactory. In the case of 57 indicators out of the 73 analysed, the direction of expected changes was positive; thus the country remains on the right path towards sustainable development. Among the diagnosed problems the following can be listed: obesity, civilization diseases, lower income, government expenditure and R&D outlays in agriculture, fewer adults participating in education, gender pay gap, lower revenues from selling innovative products, unfavourable ratio of disposable income in rural areas against the city, unsatisfactory quality of the law-making, relatively low percentage of energy from renewable sources in transport and land requiring reclamation.

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Section: Methodsmentioning

confidence: 99%

On the Road to Sustainability: Implementation of the 2030 Agenda Sustainable Development Goals (SDG) in Poland

Raszkowski

Bartniczak

2019

Sustainability

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“…Asset management, often referred to as the decision‐making process to allocate resources for roadway asset preservation (Durango‐Cohen, ; Sousa et al., ), includes three major components: inspection, maintenance, and rehabilitation. Asset management agencies evaluate the current conditions of roadway assets, for example, road shoulder, signage, and pavement marking, via inspection.…”

Section: Introductionmentioning

confidence: 99%

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

Zhuo

Liu

2018

Computer aided Civil Eng

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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

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“…As explained in the literature, this analysis can be used to support a plethora of managerial decisions, e.g., planning maintenance (cf. Durango-Cohen (2007) and the references therein). The second part of the framework overlaps with the SHM literature, and consists of using control charts to analyze/monitor the prediction errors of the aforementioned statistical models in order to detect possible special-cause or extraordinary events.…”

Section: Introductionmentioning

confidence: 99%

Development and field application of a multivariate statistical process control framework for health-monitoring of transportation infrastructure

Chen

Durango-Cohen

2015

Transportation Research Part B: Methodological

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A time series analysis framework for transportation infrastructure management

Cited by 48 publications

References 18 publications

On the Road to Sustainability: Implementation of the 2030 Agenda Sustainable Development Goals (SDG) in Poland

On the Road to Sustainability: Implementation of the 2030 Agenda Sustainable Development Goals (SDG) in Poland

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

Development and field application of a multivariate statistical process control framework for health-monitoring of transportation infrastructure

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