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10 results for “Road construction”
Transportation network system including trails, road construction history, and gates for the Andrews Experimental Forest, 1952-2011
Transportation network locations within the Andrews Experimental Forest. Includes locations of all the roads, trails, and gates within and around the forest. Original road layer was drawn on maps in 1992 and field validated. The road construction history (1952-1990) has been captured as an attribute. Roads were updated in 2004 to include roads that have been abandoned. Gates were field checked in 2004, as well as trail locations. The three data sets were updated after the 2008 LiDAR data was delivered. Roads were digitized on-screen from the bare-earth DEM, and gates were moved to match the new road network. Trails were updated for the 2011 Andrews map update. Many were located through GPS, and new trails were added. The original data is represented, as well as the updated datasets. The road network dataset is in an esri file geodatabase format, and the other datasets are in esri shapefile format, and all are in a zipped file format.
Road construction history (1952 - 1990), Andrews Experimental Forest
Andrews road construction history is mapped. This data includes the year and 1/2 decade of construction for the road network around the HJ Andrews Experimental Forest. Note that the underlying road network has been revised and updated based on the 2007 LiDAR flight. This road network can be found at GI007: Transportation network locations.
Dataset: Construction Partners, Inc. (ROAD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Assessing changes in clusters of wildlife road mortalities after the construction wildlife mitigation structures
<p>Collisions with vehicles can be a major threat to wildlife populations, so wildlife mitigation structures, including exclusionary fencing and wildlife crossings, are often constructed. To assess mitigation structure effectiveness, it is useful to compare wildlife road mortalities (WRMs) before, during, and after mitigation structure construction; however, differences in survey methodologies may make comparisons of counts impractical. Location-based cluster analyses provide a means to assess how WRM spatial patterns have changed over time. We collected WRM data between 2015 and 2019 on State Highway 100 in Texas, USA. Five wildlife crossings and exclusionary fencing, were installed in this area between Sep 2016 and May 2018 for the endangered ocelot (Leopardus pardalis) and other similarly sized mammals. Roads intersecting State Highway 100 were mitigated by gates, wildlife guards, and wing walls. However, these structures may have provided wildlife access to the highway. We combined local hot spot analysis and time series analysis to assess how WRM cluster intensity changed after mitigation structure construction at fine spatial and temporal scales and generalized linear regression to assess how gaps in fencing and landcover were related to WRM cluster intensity in the before, during, and after construction periods. Overall, WRMs/survey day decreased after mitigation structure construction and most hot spots occurred where there were more fence gaps, and, while cluster intensity increased in a few locations, these were not at fence gaps. Cluster intensity of WRMs increased when nearer to fence gaps in naturally vegetated areas, especially forested areas, and decreased nearer to fence gaps in areas with less natural vegetation. We recommend that if fence gaps are necessary in forested areas, less permeable mitigation structures, such as gates should be used. Local hot spot analysis, coupled with time series and regression techniques, can effectively assess how WRM clustering changes over time.</p>
Assessing changes in clusters of wildlife road mortalities after the construction wildlife mitigation structures
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EFFECT OF PROJECT PLANNING ON THE PERFORMANCE OF A ROAD CONSTRUCTION PROJECT: A CASE OF KICUKIRO CENTER-KAGARAMA-MUYANGE ROAD IMPLEMENTED BY NPD LTD IN KICUKIRO DISTRICT, RWANDA
<p><strong>ABSTRACT:</strong> The study investigated the project planning and performance of road construction project specifically the Kicukiro Center-Kagarama-Muyange Road in Rwanda. The study was guided by specific objectives which are to ascertain the effects of scope planning on performance of road construction projects; to determine the effect of resource planning on performance of road construction projects; to determine the effect of Risk planning on performance of road construction projects; and to examine the effect of stakeholders planning on performance of road construction projects. Descriptive and correlative research designs; and the mixed approach of qualitative and quantitative approaches were used. Targeted population was 237 persons. The study had 149 respondents as sample size. Data collection methods were documentary analysis; questionnaire; interview guide; and observations. Descriptive statistic method was used to analyze collected data specifically the frequencies, percentages, mean, and standard deviation. Correlation coefficient; and multiple linear Regression analysis models were adopted. The results showed that there is a positive and strong correlation between Project scope planning and Performance. The findings showed level of f-test model is 228.710 which is positive with p-value of 0.000b less than both standard significance levels of 0.05 and 0.01. The study retained alternative hypothesis stated that Ha1 stated that there is a significant effect of resource planning on performance of road construction project; Ha2 said that there are significant effects of scope planning on performance of road construction project; Ha3 stated that there are significant effects of Risk planning on performance of road construction project; and Ha4 said that there are significant effects of stakeholder's involvement on performance of construction projects of Kicukiro Center-Kagarama-Muyange. Kicukiro District. </p><p> </p><p><strong>Key words: </strong>project planning; performance; road construction project</p><p> </p>
RISK MANAGEMENT AND PERFORMANCE OF ROAD BUSANZA -MUYANGE CONSTRUCTION PROJECT IMPLEMENTED BY NYARUTARAMA PROPERTY DEVELOPER (NPD LTD) IN KICUKIRO DISTRICT
<div> <p><span>The study was conducted on Risk management and performance of Construction projects implemented by NPD Ltd, the study specifically will be conducted in NPD Ltd, the target population was <span>600</span> employes and <span> </span>sample size was undertaken to be <span>86</span> respondents </span><span>Study used<span> </span>descriptive statistics and inferential statistics, both qualitative and quantitative were used to analyse the data with assistance of SPSS software program version 25.0 ,</span><span>descriptive statistics and inferential statistics were used to present frequencies tables, percentages, mean and standard deviation and Inferential analysis was used in order to use Pearson correlation and multiple regression model to test the relationship between the independent variables and dependent variable.</span><span>Descriptive statistics to produce frequency tables, percentages and mean. Inferential statistics were used in order to give person correlation and multiple regression models to test and draw relationship between variables both for independent band dependent, the relationship between risk planning and performance of construction projects implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was <span>4.50,</span></span><span> the relationship between risk analysis and performance of construction projects implemented by NPD Ltd in Kicukiro district w</span><span>as <span>4.50,</span></span><span> the relationship between risk analysis and performance of construction projects implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was<span> 4.60,</span></span><span> the relationship between risk response and performance of construction projects implemented</span><span> by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was<span> 4.49,</span></span><span> </span><span>to examine the relationship between risk mitigation and performance of construction projects</span><span> implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was <span>4.27 and </span>the data on </span><span>performance of project </span><span>was</span><span> analyzed, the overall means of results was </span><span>4.52</span><span>.</span><span> Depending on the results, it presented that the performance of project was on good grades. It indicated that the relationship between risk management and performance of project on road construction between risk planning, risk analysis, risk response and risk mitigation and performance was <span>0.617, 0.855 ,0<sup> </sup>.867and 0.827</span> </span><span>respectively, and the results presented than the variables were statistically significant with p value=0.000b</span><span>.</span><span> The results present the variables of Risk management; <span>Risk Planning, </span>was not statistically significant with p value=0.479<sup>b</sup>, the <span>Risk Analysis</span> was statistically significant with p value=0.010<sup>b</sup>, and the <span>Risk Response</span> was statistically significant with p value=0.000<sup>b</sup>. And the <span>Risk Mitigation</span> was statistically significant with p value=0.000<sup>b</sup>. </span><span>It concluded that there was a significant relationship between risk management and performance of project. The study recommended that</span><span><span> MINFRA should</span></span><span> mobilize Rwandans to</span><span> be involved in construction activities in order to earn money as the sector engage many labors. </span></p> </div> <p><strong><span> </span></strong></p> <p><strong><span> </span></strong></p> <p><strong><span>Keywords: </span></strong><span>Risk management, performance, Road construction project and implementation </span></p>
Data from: Tuberculosis research in road construction sites
<p><strong>Introduction: </strong>Workers with occupational exposure to respirable silica dust like casual labourers at road construction sites (RCSs) are known to be at a high risk of developing pulmonary tuberculosis (TB). There is limited literature about the burden of PTB among this sub-population with high occupational exposures to silica dust at road construction sites. We aimed to determine the prevalence of PTB among casual labourers working at road construction sites in Central Uganda.</p> <p><strong>Methods: </strong>We enrolled 297 participants by consecutive sampling into a cross-sectional study in September 2022 at four road construction sites in four districts in Central Uganda. A structured questionnaire was administered and the PTB cases were identified using a Gene Xpert and/or Computer Aided Detection for TB (CAD4TB). Data were analyzed in STATA version 17.0. Descriptive statistics adjusted for clustering were used to summarize the data and the relationship between PTB and independent variables were assessed using a mixed effects modified Poisson regression model to estimate the adjusted prevalence ratios.</p> <p><strong>Results:</strong> Most participants were males (95.6% (284/297)), median age was 29 years [Interquartile range (IQR); 25, 33]. The prevalence of PTB among casual labourers was 2.4% (95% CI: 1.9, 2.8). Being vaccinated with BCG (3.45, 95% CI (1.02, 11.61)), alcohol use (2.70, 95% CI (1.52, 4.80)) and staying in overcrowded house (8.13, 95% CI (4.37, 15.12)) were positively associated with having PTB.s</p> <p><strong>Conclusion: </strong>There is a high prevalence of PTB among casual labourers working at road construction sites in Central Uganda. Individuals who had never been vaccinated with BCG, alcohol users and those staying in overcrowded houses were at an increased risk of having PTB. We recommend routine screening of casual labourers at road construction sites to optimize active TB case finding.</p>
Data from: Tuberculosis research in road construction sites
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Meteorological and air pollution assessment from road use and construction in the Eastern and Greater Accra regions (Ghana)
<p>The Aeroqual series, 500 handheld monitors, were used to collect the data</p> <p> </p>
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