scholarly journals Assessment of Relationship between Road Roughness and Pavement Surface Condition

2021 ◽  
Vol 6 ◽  
pp. 177-185
Author(s):  
Satkar Shrestha ◽  
Rajesh Khadka
Keyword(s):  
Surface Condition ◽  
Secondary Data ◽  
Condition Index ◽  
Numerical Predictions ◽  
Pavement Roughness ◽  
Wide Range ◽  
Roughness Index ◽  
R Value ◽  
Surface Distress ◽  
The Relationship

Pavement evaluation is the most significant procedure to minimize the degradation of the pavement both functionally and structurally. Proper evaluation of pavement is hence required to prolong the life year of the pavement, which thus needs to be addressed in the policy level. By this, the development of genuine indices are to be formulated and used for the evaluation. In context of evaluating the pavement indices for measuring the pavement roughness, International Roughness Index (IRI) is used, whereas for calculating the surface distress, indices as such Surface Distress Index (SDI) and Pavement Condition Index (PCI) are used. Past evaluating schemes used by Department of Roads (DOR) were limited to IRI for evaluating the pavement roughness and SDI for measuring the surface distress, which has least variability in categorizing the pavement according to the deformation. Apart from these, PCI which has wide range of categories for evaluating pavement, is not seen in practice in Nepal due to its cumbersome field work and calculations. In this paper the relationship is developed relating PCI with IRI and SDI using regression analysis by using Microsoft excel. In the other words, the pavement roughness index is compared with the surface distress indices. In 2017, 23.6Km of feeder roads in various locations of Kathmandu and Lalitpur districts were taken for this study which comprised of 236 sample data, each segmented to 100m. For this, IRI was sourced as secondary data, obtained from Highway Maintenance and Information System (HMIS) unit, Kathmandu, whereas, PCI and SDI were calculated from the field data obtained from the survey carried out in those sections manually. Then after, among 236 samples, 189 samples were taken for the relationship development which was then validated using 47 remaining samples. Furthermore, in the year, 2019 additional 3 Km of data was taken for validating the obtained relationships. It was done to improve the numerical predictions of data with such variation and thus satisfactory relationships were developed among the indices discussed in this study. The regression relationships between the two indices, IRI-PCI and IRI-SDI were thus significantly obtained. It has been found that the R² value for these relationships developed were statistically significant with 5% level of significance. The R² value for all the relationships showed that these relationships could be used for predicting the indices which would help in evaluating the pavement.

Drivers of franchisor growth: a meta-analysis

2018 ◽  
Vol 33 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Jun Kang ◽  
Anthony K. Asare ◽  
Thomas Brashear-Alejandro ◽  
Ping Li
Keyword(s):  
Meta Analysis ◽  
Secondary Data ◽  
Time Frame ◽  
Bivariate Analysis ◽  
Content Type ◽  
Track Record ◽  
Brand Reputation ◽  
Bivariate Correlation ◽  
Wide Range ◽  
The Relationship

Purpose This study aims to help resolve some of the inconsistencies of the relationships between franchisor growth and its drivers in prior literature. Design/methodology/approach First, this study provides a meta-analysis with bivariate correlation analysis and moderation analysis. It then offers an additional analysis of secondary data to shed further light on the relationship between franchisor growth and its drivers. Findings This study confirms the diverse nature of the relationship between the various measures of growth and drivers. It finds that proportion of outlets franchised and brand reputation have the strongest relationships with geographic dispersion; age and proportion of outlets franchised have the strongest relationships with outlet growth rate; and size has the strongest relationship with the number of new outlets. In addition, these multiple relationships are moderated by all three research characteristics that this study investigates, including data source, time frame and industry context. Research limitations/implications This meta-analysis merely offers an examination of the most commonly studied drivers and not a complete review of all potentially important variables. It calls for further research that examines the factors that lead to franchisor growth and performance in general. Practical implications Managers of young franchisors do not need to rush to expand their business across a wide range of geographic regions. Young franchisors instead should focus initially on gaining maturity, developing their business concept, building an attractive track record and improving their brand reputation. Beyond a strong brand and well-developed business concept, franchisors can attract potential franchisees by reassuring them and making them feel secure about their investment. Originality/value This study includes a bivariate analysis that was used to conduct a meta-analysis and also an empirical analysis of secondary data. By conducting the secondary data analysis, we were able to examine the extent to which the meta-analysis results of this study could be extended beyond the time period for papers included in the meta-analysis.

scholarly journals PENILAIAN KONDISI PERKERASAN JALAN BERBASIS PERANGKAT LUNAK PADA RUAS JALAN YOGYAKARTAMAGELANG

Jurnal HPJI ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 109-118
Author(s):  
Wan Aswin Winardi ◽  
Agus Taufik Mulyono ◽  
Suryo Hapsoro Tri Utomo
Keyword(s):  
Condition Index ◽  
Remaining Life ◽  
International Roughness Index ◽  
Pavement Condition ◽  
Surface Conditions ◽  
Index Data ◽  
Road Pavement ◽  
Roughness Index ◽  
Pavement Condition Index ◽  
Surface Distress

Abstract In this study a software-based modeling study that can accommodate the needs to determine the surface conditions of pavement, plan for handling road damage, and predict the remaining life of pavement services. The data used in this study are primary data from the Pavement Condition Index survey on a Yogyakarta–Magelang road segment Magelang, KM 10+000-KM 11+000, and secondary data, in the form of Surface Distress Index data, International Roughness Index data, and traffic data obtained from the National Road Planning and Supervision of the Special Province of Yogyakarta. The software used in this study is Borland Delphi 7.0 software. From this study, a software called Modrova was produced. This study shows that the Modrova software is valid to use because the resulting error is relatively small. Keywords: road surface conditions, road damage, road pavement, remaining life of road pavement  Abstrak Pada studi ini dikaji suatu pemodelan berbasis perangkat lunak yang dapat mengakomodir kebutuhan untuk menentukan kondisi permukaan perkerasan jalan, merencanakan penanganan kerusakan jalan, serta mempre-diksi sisa umur layanan perkerasan jalan. Data yang digunakan pada penelitian ini adalah data primer hasil survei Pavement Condition Index pada ruas jalan Yogyakarta-Magelang, KM 10+000-KM 11+000 dan data skunder, berupa data Surface Distress Index, data International Roughness Index, serta data lalu lintas yang diperoleh dari Perencanaan dan Pengawasan Jalan Nasional Provinsi Daerah Istimewa Yogyakarta. Perangkat lunak yang digunakan pada studi ini adalah perangkat lunak Borland Delphi 7.0. Dari studi ini dihasilkan suatu perangkat lunak yang diberi nama Modrova. Studi ini menunjukkan bahwa perangkat lunak Modrova valid untuk digunakan karena kesalahan yang dihasilkan relatif kecil. Kata-kata kunci: kondisi permukaan jalan, kerusakan jalan, perkerasan jalan, sisa umur perkerasan jalan

Investigation of Relationship Between Roughness and Pavement Surface Distress Based on WesTrack Project

2000 ◽  
Vol 1699 (1) ◽  
pp. 107-113 ◽  
Author(s):  
Joseph A. Mactutis ◽  
Sirous H. Alavi ◽  
Weston C. Ott
Keyword(s):  
Functional Capacity ◽  
Fatigue Cracking ◽  
Sample Population ◽  
Current Standard ◽  
International Roughness Index ◽  
Pavement Rehabilitation ◽  
Pavement Surface ◽  
Pavement Roughness ◽  
Surface Distress ◽  
The Relationship

Modern pavement rehabilitation and design methodologies require an adequate evaluation of the functional capacity of pavements. A key component of this functional capacity is the roughness of the pavement. The current standard for characterization of a pavement’s roughness is the international roughness index (IRI). Pavement roughness measurements were conducted at regular intervals during the application of approximately 5 million equivalent single-axle loads at the WesTrack Project, a full-scale flexible pavement accelerated loading facility located near Reno, Nevada. The results are presented of an investigation into the relationship between pavement roughness and pavement surface distress using WesTrack data. With a sample population of 317 observations, a relationship was found among the roughness (IRI) and the initial IRI, percentage of fatigue cracking, and average rut depth. A test of the relationship with data collected as a part of the Long-Term Pavement Performance Program indicates favorable results.

Roughness prediction models using pavement surface distresses in different Canadian climatic regions

2019 ◽  
Vol 46 (10) ◽  
pp. 934-940 ◽  
Author(s):  
Graeme Patrick ◽  
Haithem Soliman
Keyword(s):  
Prediction Models ◽  
Climatic Conditions ◽  
International Roughness Index ◽  
Climatic Regions ◽  
Pavement Surface ◽  
Roughness Index ◽  
Roughness Prediction ◽  
Surface Distress ◽  
The Relationship

The correlation between the international roughness index (IRI) and distress is inherent, as roughness is a function of both the changes in elevation of the distress-free pavement surface and the changes in elevation due to existing surface distress. In this way, a relationship between existing surface distress and IRI may be developed. However, the susceptibility of pavement to various types of surface distress is affected by many factors, including climatic conditions. A model that relates pavement surface distress to IRI for Canada needs to account for climatic conditions in different locations. This paper investigates the relationship between pavement surface distresses and IRI for different climatic conditions in Canada using historical data collected at numerous pavement test section locations sourced from the Long-Term Pavement Performance program database. Developed models were calibrated then validated and found to be statistically significant.

scholarly journals A Review of Studying the Relationship of Traffic Stream Characteristics and Noise Intensity with Flexible Pavement Surface Condition

2022 ◽  
Vol 961 (1) ◽  
pp. 012086
Author(s):  
Taghreed Reyadh Merza ◽  
Mohammed Abbas Al-Jumaili
Keyword(s):  
Noise Intensity ◽  
Surface Condition ◽  
Condition Index ◽  
Flexible Pavement ◽  
Economic Activities ◽  
The Road ◽  
Traffic Characteristics ◽  
Road Condition ◽  
On The Road ◽  
The Relationship

Abstract In general, roads are a very important infrastructure to facilitate people’s access to their social and economic activities, so knowing the things that affect the efficiency of these roads is very important and how to maintain them. One of the aims of this research is to shed light on previous studies that showed the relationship between traffic characteristics and noise intensity on the condition of the breakable Pavement. The results of previous studies show that flexible Pavement has 19 potential failures and how to address them. There is a relationship between the characteristics of traffic flow and failures that occur in flexible paving. It is also possible to calculate the road condition by knowing the types of faults on the road using several roads or by using specific formulas to calculate the road condition index. There are relationships between the road condition index, the vehicles’ speed, and the models that link Noise to speed. And that most of the relationships that were used to calculate the elastic pavement condition index and its relationship to the movement characteristics are statistical relationships using ANOVA, recreation, and R2

The Problem of Identifying and Modeling the Relationship between Monetary Factor and Inflation in the Russian Economy

2008 ◽  
pp. 61-76
Author(s):  
A. Porshakov ◽  
A. Ponomarenko
Keyword(s):  
Money Supply ◽  
Money Demand ◽  
Russian Economy ◽  
Long Run ◽  
Complex Approach ◽  
Wide Range ◽  
Long Time ◽  
The Relationship ◽  
Supply Side Factors

The role of monetary factor in generating inflationary processes in Russia has stimulated various debates in social and scientific circles for a relatively long time. The authors show that identification of the specificity of relationship between money and inflation requires a complex approach based on statistical modeling and involving a wide range of indicators relevant for the price changes in the economy. As a result a model of inflation for Russia implying the decomposition of inflation dynamics into demand-side and supply-side factors is suggested. The main conclusion drawn is that during the recent years the volume of inflationary pressures in the Russian economy has been determined by the deviation of money supply from money demand, rather than by money supply alone. At the same time, monetary factor has a long-run spread over time impact on inflation.

PERSEPSI PETERNAK PADA KEPEMIMPINAN PENDAMPING DAN HUBUNGANNYA DENGAN PRODUKTIVITAS USAHA TERNAK DI PAGUYUBAN AL-AWWALIYAH, PASIRWANGI, GARUT, JAWA BARAT

2019 ◽  
Vol 12 (1) ◽  
pp. 42-51
Author(s):  
Dwi Indah Sulistiani ◽  
Ujang Maman ◽  
Junaidi J
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Leadership Qualities ◽  
Chi Square ◽  
Education Experience ◽  
Spss Software ◽  
Chi Square Analysis ◽  
And Behavior ◽  
The Relationship

Objective of this research; 1) determine the perception of ranchers against the properties and behavior of the leadership of the companion in the Society of Al-Awwaliyah 2) analyze the relationship between productivity breeder with productivity of livestock in the Society of Al-Awwaliyah 3) identify the relationship perceptions of ranchers against the leadership companion with productivity of livestock in the Society of Al-Awwaliyah , The data used in this study are primary and secondary data. Primary data were obtained from questionnaires which stem from ranchers while secondary data sourced from literature in the form of books and articles. Data processing was performed using Chi-square analysis using SPSS software version 21. One of the factors relating to the productivity of ranchers is the perception of ranchers against the leadership of their companion. Leadership companion views of the nature and behavior of which is owned by a companion. Productivity ranchers indirectly related to the productivity of the cattle business. Characteristics breeder visits of age, years of education, experience ranchers, and businesses in addition to ranchers. The results of data analysis showed that there is a significant relationship between business other than ranchers with ranchers productivity. The relationship between the perception of the nature of the companion breeder with productivity ranchers produce Pearson Chi-Square value is 9.751 and Asymp. Sig. (2-sided) of 0.002. This is due to interest ranchers against leadership qualities possessed by a companion who produce prolific ranchers. Ranchers consider that a companion of his leadership qualities are ideal as a companion.

FISCAL STRESS: Studi Kasus Pemda Provinsi Nusa Tenggara Timur

Wahana ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 125-135
Author(s):  
Mesri Welhelmina N. Manafe ◽  
Zet Ena ◽  
Salmun Saul Adu
Keyword(s):  
Low Income ◽  
Local Governments ◽  
Secondary Data ◽  
Fiscal Stress ◽  
Fiscal Health ◽  
Significance Level ◽  
Stress Variable ◽  
Local Budget ◽  
The Relationship ◽  
Direct Expenditure

Local governments play a significant role in the life of the community and the national economy which can be achieved in fiscal health conditions reflected in the low disparity in income structure towards regional expenditure. The inability of regions to escape fiscal dependence is due to the low income, especially from Pendapatan Asli Daerah, which causes fiscal stress which then impacts on policies and implementation of regional spending through spending on programs and activities. This study will examine the relationship between Fiscal Stress and Pendapatan Asli Daerah and expenditure of East Nusa Tenggara Province through simple linear regression testing using secondary data Pertumbuhan Pendapatan Asli Daerah and Belanja Langsung using a sample of six (6) districts / cities in 2014-2016 The results of the study show that the fiscal stress variable does not affect the income structure through Pertumbuhan Pendapatan Asli Daerah and Belanja Langsung at a significance level of <0.05. The results of this study contribute to local budget policies and theoretically to the use of direct expenditure variables that are different from previous studies. Key Words: Fiscal Health, Fiscal Stress, Pendapatan Asli Daerah, dan Belanja Langsung

FISCAL STRESS: Studi Kasus Pemda Provinsi Nusa Tenggara Timur

Wahana ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 125-135
Author(s):  
Mesri Welhelmina N. Manafe ◽  
Zet Ena ◽  
Salmun Saul Adu
Keyword(s):  
Low Income ◽  
Local Governments ◽  
Secondary Data ◽  
Fiscal Stress ◽  
Fiscal Health ◽  
Significance Level ◽  
Stress Variable ◽  
Local Budget ◽  
The Relationship ◽  
Direct Expenditure

Local governments play a significant role in the life of the community and the national economy which can be achieved in fiscal health conditions reflected in the low disparity in income structure towards regional expenditure. The inability of regions to escape fiscal dependence is due to the low income, especially from Pendapatan Asli Daerah, which causes fiscal stress which then impacts on policies and implementation of regional spending through spending on programs and activities. This study will examine the relationship between Fiscal Stress and Pendapatan Asli Daerah and expenditure of East Nusa Tenggara Province through simple linear regression testing using secondary data Pertumbuhan Pendapatan Asli Daerah and Belanja Langsung using a sample of six (6) districts / cities in 2014-2016 The results of the study show that the fiscal stress variable does not affect the income structure through Pertumbuhan Pendapatan Asli Daerah and Belanja Langsung at a significance level of <0.05. The results of this study contribute to local budget policies and theoretically to the use of direct expenditure variables that are different from previous studies. Key Words: Fiscal Health, Fiscal Stress, Pendapatan Asli Daerah, dan Belanja Langsung

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