The research aims to discuss and investigate the process of airport pavement management system (APMS). The methodology of the research is based on previous studies that describe the major elements of the APMS to gain more solutions from the previous different case studies. The investigate includes various subjects such as components and cost approach of the APMS. The methodology used in the research is a descriptive method based on previous studies and from different books by using pavement management system (PMS). The study describes the typical distress types of the asphalt-surfaced pavements and the Portland cement concrete pavements of airports. Additionally, the research clarifies the test methods of the airport pavement, such as the ASTM D5340 and ASTM D6433. Research investigates that the software used in the APMS like PAVER and Road-SIT, Airport PMS that are used by the airport agencies to collect information about the situation of the runway pavement. The APMS still needs more research and new studies due to a lack of information and studies in different airports around the world. The airports shall use the service life estimation (SLT) for the pavement in the runways and parking. In recent studies, the method is not used, whereas including a quantitative methodology which demonstrates results to facilitate the clarity of the results to illustrate the advantage of the SLT.
PurposeThe research aims to study the regression, cointegration and causality between the construction sector (CS) and the Gross Domestic Product (GDP), considering other variables in the study such as interest rate, taxation, industry sector, investment and Foreign Direct Investment (FDI), which are analyzed through unique panel models. The study was conducted in Turkey and the ten other countries of the European Union (EU) from 1988 to 2019.Design/methodology/approachRegression, cointegration and causality methods were used to investigate the different types of relationships between variables in the models. Data were obtained from official databases and the study contains four main stages, which are explained in detail in the methodology section.FindingsThe study used the analysis methods of regression, cointegration and causality tests and found that the CS and GDP have long-run estimates and the relationship between the two for different countries is negative in a two-way direction. Results are detailed in the analysis section.Research limitations/implicationsNo data were available for the variables before 1988 for most countries, which led to a limited number of observations and issues in statistical analysis methods.Originality/valuePreviously, only input and output tables were used in the analysis. The impact of interest rate, taxation, investment and FDI has not been analyzed. Key variables are very relevant for Turkey, which suffers from chronical inflation and taxation regimes. These show variability with the EU countries for comparative analysis and have not been explored to date, remaining as a major gap for the construction industry. No attempts were made to use regression, cointegration and causality methods with variables. These analysis methods enable an understanding of the differences in variance (heteroscedasticity) and the presence of cross-sectional dependence (CSD), both critical for the reliability of the comparison of data sets and analysis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.