Relevant bibliographies by topics / Highway construction Management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Highway construction Management'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Highway construction Management"

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Chavan, Nikhil Ashok, and Dipak P. Patil. "Review on Highway Construction Equipment Management." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (2018): 395–97. http://dx.doi.org/10.29070/15/56852.

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Battikha, Mireille G. "Quality management practice in highway construction." International Journal of Quality & Reliability Management 20, no. 5 (2003): 532–50. http://dx.doi.org/10.1108/02656710310476516.

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Zhang, Caiyan. "Dynamic Management and Control Strategy of Highway Engineering Cost." Journal of Architectural Research and Development 5, no. 4 (2021): 23–26. http://dx.doi.org/10.26689/jard.v5i4.2427.

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The rapid economic development has promoted the construction of infrastructure, such as highways and water conservancy projects. The establishment of highways has facilitated people's lives and made the distance between regions shorter and shorter. However, the construction of highway engineering is a big project, which not only has a long cycle, but also has a high economic cost. During the construction process, a large number of construction materials and personnel will be applied. If the project cost management is not implemented for the highway construction, it will easily affect the final quality and profit of the entire project. This article expounds the significance of dynamic management and control of highway engineering cost, and analyzes the strategy of dynamic management and control of highway engineering cost.
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Christian, John, and Linda Newton. "Highway construction and maintenance costs." Canadian Journal of Civil Engineering 26, no. 4 (1999): 445–52. http://dx.doi.org/10.1139/l99-004.

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This paper gives details of the results of research on maintenance management practices and expenditures on road infrastructure in the province of New Brunswick during the period 1965-1994. An analysis of historic levels of spending on road maintenance, rehabilitation and new construction; current maintenance management practice; and the source and allocation of funds indicated three trends: (i) routine and preventive maintenance funding has steadily decreased over the past 30 years while traffic and vehicle registrations have increased; (ii) maintenance expenditures are not keeping pace with system needs; and (iii) there is a need for a review of traditional construction and maintenance management practices. Three cost prediction models were developed to determine an accurate cost for road maintenance. Based on the models and the management review, it was concluded that maintenance funding needs to be increased by 25% in conjunction with the implementation of a comprehensive maintenance management system, if the Department of Transportation is to adequately meet the current and future needs of the existing road network.Key words: road maintenance, maintenance management, road construction.
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Wang, Zeng Zhong, and Bin Shi. "Probabilistic Risk Analysis for Highway Construction Management." Applied Mechanics and Materials 584-586 (July 2014): 2363–67. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.2363.

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Construction management is the totality of activities that address the managerial and technological aspects of highway construction, conducted during the planning, design, construction, and post-construction phases of the project, for the purpose of achieving scope, quality level, cost, schedule and other project performance objectives. The ability to better understand potential risks and how to manage those yields benefits far in excess of the costs of adopting risk management practices. In this paper, the most common set of processes including risk identification, assessment, analysis, mitigation, allocation, monitoring and updating are discussed, and the relationship between the computational method (the model) and its required inputs and available outputs is illustrated. The methodology and systematic process of probabilistic risk analysis, Monte Carlo simulation methods is conducted, and a comprehensive case study of probabilistic risk analysis for a highway construction management is given out, in which the sensitivity analysis and other output from the simulation model are illustrated to support the risk management plan. It is obviously that the probabilistic risk analysis of Monte Carlo simulation could provide very important information for a decision maker.
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Wu, Zhao, Ma, and Yang. "Improving the Efficiency of Highway Construction Project Management Using Lean Management." Sustainability 11, no. 13 (2019): 3646. http://dx.doi.org/10.3390/su11133646.

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The construction industry is often ranked top in producing the largest amount of waste during a project, be it the waste of material resources or the waste of manpower. This has elevated the need for an improved and more structured management technique. This study will look into the principles and practices of lean management pertinent to highway construction projects to analyze whether lean management practices can improve the management efficiency for complex projects. This study adopted a quantitative approach, and a linear regression model has been used to investigate correlations between the lean test factors and the efficiency-dependent variables. It was found that lean management tools that are used repeatedly and the ones that require a high level of detailing are positively associated with efficiency improvement in highway construction projects. In particular, LPS, JIT, and VM were found to be more commonly used in highway construction projects. The research results will aid in the initial decision-making process of the project managers, as they will be able to map different lean tools with their benefits and limitations and then select the one that best suits the project needs and deliverables. Future studies can adopt the interpretivism paradigm to explore new theories and concepts related to highway construction management.
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Xu, Guang Yin, Yan Na Zhang, and Jian Hua Qu. "The Design of Information Platform Structure Used in Expressway Management Based on SOA Frame." Advanced Materials Research 403-408 (November 2011): 2997–3003. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2997.

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On the basis of the study on the expressway management business flow as well as the SOA architecture concept, this paper designs the overall framework for a systematical expressway management information platform, which includes network of 3 levels, grading processing, comprehensive monitoring, comprehensive information application management, web portal and security system, and then designs the overall technical frame of this platform. Road administration is the core part of highway administration and the concentrated reflection of external highway administrative management. In addition to the approval of highway property, construction, maintenance and management, its main contents also involve the highway maintenance, highway entrance fee management and other road maintenance. It covers a wide range and there is so much information of deferent types to be processed and used. Although domestic and foreign roads and road administration departments have some information management systems in use, some are special highway road administration information systems[1,2], and some are highway comprehensive information management systems[3], the integrated comprehensive highway information management contents are lack of research, and the professional, comprehensive, open road administration information platform has not been established yet. Therefore, the author conducted the design of constructing advanced road administration information platform structure. This platform uses the service oriented architecture (SOA), integrates advanced information network technology, data communications monitoring and transmission technology, electronic control technology, computer processing technique with 3S, PDA and other advanced technologies, so that it is effectively integrated and used in the highway information management. The construction of the platform will realize the effective and scientific management for highways business, ensuring that the highways are unblocked, and maintaining the road property and rights of highways, thus promoting the development of the industrial management information.
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Erickson, Jim. "Meeting the Quality Management Issue on Highway Construction." Journal of Professional Issues in Engineering 115, no. 2 (1989): 162–67. http://dx.doi.org/10.1061/(asce)1052-3928(1989)115:2(162).

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Wan, Wen, Jun Qi Yu, and Jiang Ping Zhao. "The Research of Highway Construction Safety Management Based on Fuzzy Evaluation." Applied Mechanics and Materials 737 (March 2015): 446–51. http://dx.doi.org/10.4028/www.scientific.net/amm.737.446.

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According to the situation of high frequent accidents and supervision difficulties in highway construction project. The fuzzy evaluation model for the affecting factors of highway construction accidents was established. Through safety analysis on many accidents, it was considered that highway construction accidents were commonly affected by workers’ unsafe behavior, unsafe condition, environmental risk and management. Then the weight of relative factors were determined. Finally the highway construction safety management evaluation was built. It shows that this method is reasonable and handled, which provides a good thought for the scientific, quantitative and available evaluation of highway construction safety management.
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Wu, Xueying, Wenyi Zhao, and Tianshan Ma. "Improving the Impact of Green Construction Management on the Quality of Highway Engineering Projects." Sustainability 11, no. 7 (2019): 1895. http://dx.doi.org/10.3390/su11071895.

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The implementation of green projects continues to encounter several challenges with regards to the project management techniques applied in different construction projects. This study aims to find out the relationship between green construction management and the quality of highway engineering projects, and to try to help innovators identify the best place to focus. This study adopted mixed research method where both quantitative and qualitative research approaches were used. The analysis techniques adopted included Pearson’s correlation, regression analysis, and Student’s t-test. The study found that the effect of financial issues, design codes and standards, and various risks will be the most effective green performance constructing strategies. It is revealed that there are eight determinants explained 77.5% of the variations in the quality of the highway engineering projects. The quality of highway engineering projects was expected to improve by 0.246 units for a unit change in the adoption of the green construction management. The research result will help stakeholders in improving the quality standards for highway engineering projects and help practitioners and experts in the construction project industry to better understand the relationship between green construction management and quality of highway engineering projects, and help them improve green construction management in an effort to promote sustainable development of project management. This research can be further studied in the future to expand the scope of data analysis to explain the differences in the level of social development.
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Dissertations / Theses on the topic "Highway construction Management"

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Patel, Dhaivat. "E-CONSTRUCTION TECHNOLOGIES FOR EFFICIENT HIGHWAY CONSTRUCTION INSPECTIONS." UKnowledge, 2019. https://uknowledge.uky.edu/ce_etds/77.

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Over recent years, organizations such as the Federal Highway Administration and Departments of Transportation across the United States have showed interest in automating highway construction processes. The addition of e-Construction and other advanced technologies can significantly improve the efficiency and safety of highway paving operations, specifically paving inspections. Activities such as collecting load tickets, tracking pavement lay-down temperatures, and monitoring roller movement are antiquated practices that DOT inspectors perform during paving operations. E-Ticketing, Paver Mounted Thermal Profiling, and Intelligent Compaction were proposed to automate paving inspections and were recently tested in two resurfacing pilot projects in the state of Kentucky. Findings from the projects indicate that the three technologies display great potential in improving safety and efficiency of paving inspections. The contribution of this thesis is to document the research effort, evaluate the effectiveness of the technologies compared to the traditional practices, and discuss the lessons learned for industry practitioners.
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Creedy, Garry D. "Risk factors leading to cost overrun in the delivery of highway construction projects." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16399/.

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Accurate client budget estimates are critical to the initial decision-to-build process for the highway construction projects. This decision-to-build point in a project's development is seen as the international standard for measuring any subsequent cost estimate inaccuracies involved (National Audit Office/Department of Transport, 1992; World Bank, 1994; Nijkamp and Ubbels, 1999), with accuracy being defined as the difference between the initial project estimate at the decision-to-build stage and the real, accounted project cost determined at the time of project completion. Expressed as a percentage of estimated cost, this is often termed cost escalation, cost overrun or cost growth, and occurs as a result of many factors, some of which are related to each other, but all are associated with forms of risks. The analysis of these risks is often a necessary step for the improvement of any given estimating system and can be used to diagnose trouble spots and to pinpoint areas where project estimating accuracy improvement might be obtained. In this research, highway projects in Queensland, Australia that have suffered significant cost overrun are analysed. The research seeks to address the gap in the knowledgebase as to why highway projects overrun their costs. It focuses on understanding how client projects budgets go wrong, when dealing with project risk. The foundation for this research is drawn from the post-mortem analysis of highway projects, each costing in excess of A$1m and whose final total expenditure exceeded budget by 10% or greater. The research identifies client risk variables which have contributed to significant cost overrun and then uses factor analysis and also expert elicitation, using nominal group technique, to establish groups of importance ranked client risks. Stepwise multivariate regression analysis is then used to investigate any correlation of these risks, along with project attributes such as highway project type, indexed project cost, geographic location and project delivery method to the percentage of cost overrun. The research results indicates a correlation between the reciprocal of project budget size and percentage cost overrun that can be useful in clients determining more realistic decision-to build highway budget estimates when taking into account project size in relation to economy of scale.
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Battikha, Mireille. "A computer-based system for construction quality management with application to highway pavements." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0010/NQ56502.pdf.

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Shrestha, Joseph, H. David Jeong, and Douglas D. Gransberg. "Multidimensional Highway Construction Cost Indexes Using Dynamic Item Basket." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/717.

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A highway construction cost index (HCCI) is an indicator of the purchasing power of a highway agency. Thus, it must reflect the actual construction market conditions. However, current methods used by most state departments of transportation are not robust enough to meet this primary goal due to (1) a significantly insufficient sample size of bid items used in HCCI calculation; and (2) inability to address the need to track highway construction market conditions in specific submarket segments such as, but not limited to, various project types, sizes, and locations. This study proposes an advanced methodology to overcome these apparent limitations using two new concepts: (1) dynamic item basket; and (2) multidimensional HCCIs. The dynamic item basket process identifies and utilizes an optimum amount of bid-item data to calculate HCCIs in order to minimize the potential error due to a small sample size, which leads to a better reflection of the current market conditions. Multidimensional HCCIs dissect the state highway construction market into distinctively smaller sectors of interest and thus, allow state Departments of Transportation to understand the market conditions with much higher granularity. A framework is developed to integrate these two concepts and a standalone prototype system, named the Dyna-Mu-HCCI System, is developed to automate the data-processing part of the framework. The historical bid data of the Montana Department of Transportation are used to evaluate the performance of the Dyna-Mu-HCCI System and measure the effects of the dynamic item basket (DIB) and multidimensional HCCIs. The results show an eightfold increase in terms of the number of bid items used in calculating HCCIs and at least a 20% increase in terms of the total cost of bid items used. In addition, the multidimensional HCCIs reveal different cost-change patterns from different highway sectors. For example, the bridge construction market historically shows a very different trend compared with the overall highway construction market. The new methodology is expected to aid state Departments of Transportation in making more-reliable decisions in preparing business plans and budgets with more accurate and detailed information about the construction market conditions. Further, the prototype Dyna-Mu-HCCI System is expected to significantly facilitate the HCCI calculation process and rapidly implement this new system.
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Limsawasd, Charinee. "Maximizing Environmental Sustainability and Public Benefits of Highway Construction Programs." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2488.

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Transportation agencies face a challenging task to repair damaged roads in an aging transportation network with limited funding. In addition, the funding gap is forecasted to continue widening, which has direct impacts on the performance of surface transportation networks and the nation’s economy in the long run. Recently, transportation agencies were required by a newly enacted law to include national performance-based goals, such as environmental sustainability, in their programming and planning efforts for highway repair and rehabilitation. Therefore, the current practice in the area of highway rehabilitation planning is inadequate to handle this task and new practices are needed to improve the performance of transportation networks while maintain the national goal of maximizing environmental sustainability. Accordingly, this dissertation presents an innovative environmental-based decision-support model for planning highway construction programs. The model is developed in three main parts that are designed to: (1) model total vehicle fuel consumption and public benefits/costs of traveling on transportation networks; (2) evaluate the economic and environmental impacts of highway rehabilitation efforts; and (3) develop a multi-objective optimization model to identify and evaluate highway rehabilitation program(s) that are capable of simultaneously minimizing environmental impact and maximizing public benefits of rehabilitation decisions. First, mathematical models were developed to facilitate estimating the total vehicle fuel consumption and public benefits/cost for road users at the network-level. These models are deigned to estimate vehicle fuel consumption rate, tire depreciation cost, and vehicle repair and maintenance cost rate, in terms of major vehicle–road interaction factors, such as vehicle type, speed, and pavement conditions. The developed and statistically validated models are then used to estimate total vehicle fuel consumption and public benefits/costs at the network-level. Second, a new model was developed for evaluating the impact of decision making in highway rehabilitation efforts on greenhouse gas emissions and public travel costs. The model has the capabilities of: (1) identifying candidate rehabilitation treatment alternatives for damaged or aging pavement; (2) evaluating the impact of these treatments on pavement performance; (3) estimating network fuel consumption due to highway rehabilitation decisions; (4) estimating additional public costs as a result of travel-delay during road construction operations; and (5) evaluating the impact of rehabilitation efforts on public benefits expressed as expected savings in road user costs. Third, a multi-objective optimization model was developed to search for and identify highway rehabilitation programs that are capable of minimizing environmental impact in terms of CO2 emissions while maximizing public benefits under budget constraints. This newly developed model enables planners and decision makers to design and implement highway rehabilitation programs that are cost-effective and environmentally-conscious.
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Yeung, Chong-tak Clarence. "Hong Kong's major highways a public-private partnerships approach to their construction and management /." Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B31967437.

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Shrestha, Joseph, H. David Jeong, and Douglas D. Gransberg. "Critical Analysis of Current Practices of Highway Construction Cost Index (HCCI) Calculation and Utilization." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/5473.

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A proper understanding of the local construction market is essential for making appropriate project budgeting and planning decisions. State highway agencies typically use highway construction cost indexes (HCCIs) to understand the current market conditions. In the U.S. highway construction industry, the Federal Highway Administration (FHWA) pioneered the concept of a HCCI as an indicator of the national construction market. State Departments of Transportation (DOT) also started developing their state level HCCIs to better represent their state level construction markets. But, some state DOTs noted the lack of guidance to develop and update their HCCIs. This paper summarizes literature review and nationwide questionnaire survey results to identify the current practices of calculating and using HCCIs. There are two methods to generate basket of construction items for HCCI calculation: a) categorized market basket and b) item level market basket. The Fisher index is the most popular indexing formula among the state DOTs and is also recommended by the FHWA and International Monetary Fund (IMF). Despite many potential users of HCCIs, the current use of HCCIs is very limited in state DOTs.
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Mallikarachchi, Thanuja D. "Exfiltration Trenches for Post Construction Storm Water Management for Linear Transportation Projects: Site Investigation on Metal Removal." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1337908088.

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Li, Ying. "Forecasting Long Term Highway Staffing Requirements for State Transportation Agencies." UKnowledge, 2016. http://uknowledge.uky.edu/ce_etds/42.

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The transportation system is vital to the nation’s economic growth and stability, as it provides mobility for commuters while supporting the United States’ ability to compete in an increasingly competitive global economy. State Transportation Agencies across the country continue to face many challenges to repair and enhance highway infrastructure to meet the rapid increasing transportation needs. One of these challenges is maintaining an adequate and efficient agency staff. In order to effectively plan for future staffing levels, State Transportation Agencies need a method for forecasting long term staffing requirements. However, current methods in use cannot function without well-defined projects and therefore making long term forecasts is difficult. This dissertation seeks to develop a dynamic model which captures the feedback mechanisms within the system that determines highway staffing requirements. The system dynamics modeling methodology was used to build the forecasting model. The formal model was based on dynamic hypotheses derived from literature review and interviews with transportation experts. Both qualitative and quantitative data from literature, federal and state database were used to support the values and equations in the model. The model integrates State Transportation Agencies’ strategic plans, funding situations and workforce management strategies while determining future workforce requirements, and will hopefully fill the absence of long-term staffing level forecasting tools at State Transportation Agencies. By performing sensitivity simulations and statistical screening on possible drivers of the system behavior, the dynamic impacts of desired highway pavement performance level, availability of road fund and bridge fund on the required numbers of Engineers and Technicians throughout a 25-year simulation period were closely examined. Staffing strategies such as recruiting options (in-house vs. consultants) and hiring levels (entry level vs. senior level) were tested. Finally the model was calibrated using input data specific to Kentucky to simulate an expected retirement wave and search for solutions to address temporary staffing shortage.
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Yeung, Chong-tak Clarence, and 楊創德. "Hong Kong's major highways: a public-private partnerships approach to their construction and management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31967437.

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Books on the topic "Highway construction Management"

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Taylor, Timothy R. B. Forecasting highway construction staffing requirements. Transportation Research Board, 2013.

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Molenaar, Keith R., Elizabeth Kraft, Christopher Harper, et al. Alternative Quality Management Systems for Highway Construction. Transportation Research Board, 2015. http://dx.doi.org/10.17226/22127.

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Newman, Robert B. Staffing considerations in construction engineering management. Transportation Research Board, National Research Council, 1989.

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1944-, Harris Frank, and McCaffer Ronald, eds. Management of off-highway plant and equipment. Spon, 2003.

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Colorado. Office of State Auditor. Contract management highway design and construction projects: Performance audit. Office of State Auditor, 2004.

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Molenaar, Keith R., Elizabeth Kraft, Christopher Harper, et al. Guidebook on Alternative Quality Management Systems for Highway Construction. Transportation Research Board, 2015. http://dx.doi.org/10.17226/22128.

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Gransberg, Douglas D. Construction manager-at-risk project delivery for highway programs. Transportation Research Board, 2010.

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Hughes, Charles S. Final report: Construction manpower management system. Virginia Transportation Research Council, 1990.

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Sternbach, Jack. Contract management systems. Transportation Research Board, National Research Council, 1990.

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Newman, Robert B. Use of consultants for construction engineering and inspection. Transportation Research Board, National Research Council, 1989.

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Book chapters on the topic "Highway construction Management"

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Khalifa, Rafaa, Tugrul U. Daim, and Robert Stewart. "Project Delivery: Highway Construction." In Innovation, Technology, and Knowledge Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68987-6_17.

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Moghayedi, Alireza, and Abimbola Windapo. "Modelling Correlations in Highway Construction Projects." In Collaboration and Integration in Construction, Engineering, Management and Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48465-1_32.

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Tice, J. Allan. "Soil Considerations in Highway Design and Construction." In Planning the Uses and Management of Land. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr21.c23.

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Hua, Rui. "Influence of Highway Construction on Foreign Trade Based on Multivariate Regression Analysis." In Emerging Technologies for Information Systems, Computing, and Management. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7010-6_131.

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Zhang, Hong, Rongbei Zheng, and Fangmin Ren. "Stakeholder Impact Analysis for Highway Maintenance Management Based on System Dynamics." In Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0855-9_29.

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He, Yu. "Assessment on the Socio-Economic-Environmental Coordinated Development of Highway Construction Project." In Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40063-6_26.

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He, Yu. "Study on Strategic Environmental Assessment of Highway Construction Based on Entropy–AHP." In Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40072-8_40.

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Bingquan, Liu, Wen Fenghua, and Wang Yaozhong. "Based on the Fuzzy Mathematics Model of Quality Management of Highway Construction Project." In Advances in Computer Science, Environment, Ecoinformatics, and Education. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23345-6_73.

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Moghayedi, Alireza, and Abimbola Windapo. "Predicting the Impact Size of Uncertainty Events on Construction Cost and Time of Highway Projects Using ANFIS Technique." In Collaboration and Integration in Construction, Engineering, Management and Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48465-1_34.

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Zhang, Yilong, Yajun Cai, and Huanhuan Wu. "Research on Cost Estimation of Highway Project Based on the GA-BP Algorithm." In Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46994-1_37.

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Conference papers on the topic "Highway construction Management"

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El-Assaly, Ashraf, and Ralph Ellis. "Sustainable Management for Highway Construction." In Construction Congress VI. American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40475(278)49.

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Zhengyu, Lu, Huang Zhijun, and Hu Cuiyun. "Research of Highway Construction Management Standardization." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.456.

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Bode, Thaddaeus, and Yong K. Cho. "Framework for Web-Based Highway Construction Geospatial Data Management." In Construction Research Congress 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41109(373)61.

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Liang, Yueh, and Tsai-chu Wang. "Integrated Information Systems for Highway Management." In 17th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2000. http://dx.doi.org/10.22260/isarc2000/0151.

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Hong Lv, Wen-li Shi, and Long-han Zhang. "Research for schedule optimization of highway construction project." In 2012 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2012. http://dx.doi.org/10.1109/iciii.2012.6340015.

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Ogunrinde, Olugbenro, Chukwuma Nnaji, and Armen Amirkhanian. "Application of Emerging Technologies for Highway Construction Quality Management: A Review." In Construction Research Congress 2020. American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482889.109.

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Chen, Haijun, Lei Zeng, and Jun Xie. "Highway Construction Management Information Systems Based on Workflow." In 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2008. http://dx.doi.org/10.1109/icicta.2008.464.

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Sun, Changgeng. "The Construction Idea of China's Highway Management System." In 2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA). IEEE, 2013. http://dx.doi.org/10.1109/isdea.2013.548.

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Chen, Zhengfa, and Guifeng Liu. "Application of Information Construction in Highway Tunnel." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.268.

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Liu, Weijun. "Duration Estimation Method for Highway Construction Work." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998201.

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Reports on the topic "Highway construction Management"

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Corson, Lynn. Assessment and Selection of Stormwater Best Management Practices for Highway Construction, Retrofitting, and Maintenance. Purdue University, 2006. http://dx.doi.org/10.5703/1288284313397.

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