Civil Engineering Commons^™

Distracted Driving And Pedestrians' Effects On Headway At Signalized Intersections, Bassel Elgamal

Electronic Theses and Dissertations, 2020-2023

Distracted driving and pedestrians pose one of the most difficult challenges to ensuring a safe and efficient transportation system. Modern communications have delivered greater convenience. However, this has come at the cost of attention spans. Safety has been thoroughly explored in terms of distracted driving and pedestrians. However, impacts on traffic operations have received minimal research attention. Few studies provided a theoretical mechanism on how intersection operations can be affected but failed to quantify the real-life impacts on traffic operations. Furthermore, new Florida laws prohibit cellphone usage while driving but is allowed when the vehicle is stationary, which may result …

High Fidelity Injury Severity Analysis Using Econometric Modeling Approaches, Ahmed Kabli

Electronic Theses and Dissertations, 2020-2023

Crash severity models are typically developed using police reported injury severity databases. However, several research studies have identified various challenges associated with police reported data. Therefore, the current dissertation is focusing on developing high resolution crash severity models based on medical professional driver injury severity reported using Abbreviated Injury Scale for eight body regions. The dissertation focused on developing a disaggregate injury severity modeling framework that can enhance the estimation accuracy of independent variable impacts on severity. Within this broad research vision, the dissertation has multiple objectives. First, a joint random parameters multivariate model structure with as many dimensions as …

Effect Of Joint Rotation On Curling Responses In Airfield Rigid Pavements, Jaime Hernandez, Imad L. Al-Qadi

Civil and Environmental Engineering Faculty Research and Publications

This paper quantifies the relevance of restriction to joint rotation of an airfield concrete pavement when calculating critical curling stresses and deflections using a validated finite element model. The validation uses strains measured at the John F. Kennedy International Airport. To calculate critical curling stresses and deflections, the pavement was subjected to 5263 h of temperature variation determined by utilising the enhanced integrated climate model and thermocouple readings. The profiles include a wide range of average temperatures, temperature gradients, and temperature nonlinearity. Three conditions were included: (1) joints free to displace and rotate; (2) joints free to rotate, but partially …

Targeting Current And Future Threats: Recent Methodological Trends In Environmental Antimicrobial Resistance Research And Their Relationships To Risk Assessment, Tucker R. Burch, Ryan J. Newton, Lee K. Kimbell, Emily Lou Lamartina, Kassidy N. O'Malley, San Marie Victoria Thomson, Christopher Marshall, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Antimicrobial resistance (AMR) is a growing public health threat. Improved surveillance of AMR's genetic indicators in environmental reservoirs should lead to a more comprehensive understanding of the problem at a global scale, as with SARS-CoV-2 monitoring in sewage. However, the “best” monitoring approach is unclear. Some scientific works have emphasized monitoring for the abundance of already-known antimicrobial resistance genes (ARGs); others have emphasized monitoring for the potential of new ARGs to arise. The goal of this study was to examine which methods were employed by highly-cited papers studying AMR in environmental engineering and agricultural systems, thus providing insight into current …

ปัจจัยที่ส่งผลต่อการยอมรับเทคโนโลยียานยนต์ไร้คนขับในกรุงเทพมหานครและปริมณฑล, ธีรนันท์ สุวรรณชวลิต

Chulalongkorn University Theses and Dissertations (Chula ETD)

ยานยนต์ไร้คนขับ (Autonomous Vehicles) เป็นเทคโนโลยีที่จะเกิดขึ้นในอนาคตอันใกล้นี้ โดยเทคโนโลยีนี้จะส่งเสริมการพัฒนาระบบคมนาคมขนส่งในเมืองที่สามารถเข้าถึงได้ทุกคน (Inclusive transport network) ซึ่งทำให้ผู้สูงอายุ ผู้พิการ และผู้ที่ไม่สามารถขับขี่รถยนต์ด้วยตนเองมีอิสระในการเดินทางมากยิ่งขึ้น งานวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาปัจจัยที่จะส่งผลต่อการยอมรับเทคโนโลยีนี้ในประเทศไทย โดยศึกษาจากการสัมภาษณ์กลุ่มตัวอย่างจำนวน 450 คนจากประชากรที่อาศัยอยู่ในกรุงเทพมหานครและปริมณฑล งานวิจัยนี้ได้มุ่งเน้นไปที่ยานยนต์ไร้คนขับในระดับ 5 และทำการวิเคราะห์ผลโดยใช้กรอบแนวคิดแบบจำลองการยอมรับเทคโนโลยี (Technology Acceptance Model) ผลการศึกษาพบว่าว่าปัจจัยที่จะส่งผลต่อการยอมรับเทคโนโลยียานยนต์ไร้คนขับหรือความตั้งใจที่จะใช้เทคโนโลยีอย่างมีนัยสำคัญ ประกอบไปด้วยการรับรู้ถึงประโยชน์ , การรับรู้ถึงความง่ายในการใช้งาน, การรับรู้ความปลอดภัยและความเชื่อถือ โดยตัวแปรที่ส่งผลต่อการยอมรับเทคโนโลยีสูงสุดคือ ความเชื่อถือและการรับรู้ถึงความปลอดภัย ตามลำดับ

ปัจจัยที่ส่งผลต่อเจตนาในการเลือกใช้บริการ Mobility As A Service (Maas) ในกรุงเทพมหานคร, รัชกร ภัคพิสุทธิ์กุล

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในปัจจุบัน มีการนำแอปพลิเคชันที่เกี่ยวข้องกับการเดินทางที่ทำให้การเดินทางเป็นเรื่องที่ง่ายและสะดวกขึ้น จึงทำให้เกิดแนวคิดบูรณาการบริการเดินทางซึ่งเรียกแนวความคิดนี้ว่า บริการเดินทางรวมครบวงจร (Mobility as a Service หรือ MaaS) ที่มีการบูรณาการการวางแผน การจอง และการชำระค่าบริการการเดินทางทั้งหมดในแพลตฟอร์มเดียว แนวคิดนี้ยังไม่มีการนำมาใช้ในประเทศไทย การวิจัยนี้จึงศึกษาทัศนคติในการเดินทางและเจตนาหรือความตั้งใจของผู้เดินทางในกรุงเทพมหานครว่าปัจจัยใดส่งผลต่อเจตนาที่จะใช้ MaaS และ แต่ละปัจจัยมีอิทธิพลมากน้อยเพียงใด งานวิจัยนี้ได้ใช้แบบจำลองทั้งหมด 4 แบบจำลอง ได้แก่ แบบจำลองจากทฤษฎีพฤติกรรมตามแผน (Theory of Planned Behavior; TPB) แบบจำลองการยอมรับเทคโนโลยี (Technology Acceptance Model; TAM) ทฤษฎีการยอมรับและการใช้เทคโนโลยี (Unified Theory of Acceptance of Technology; UTAUT) และ ทฤษฎีการยอมรับและการใช้เทคโนโลยี 2 ฉบับปรับปรุง (Modified UTAUT2) เครื่องมือที่สำคัญที่ใช้ในงานนี้คือแบบสอบถามเพื่อเก็บข้อมูลทัศนคติที่เกี่ยวข้องกับการใช้แอปพลิเคชันที่มีอยู่ในปัจจุบันของผู้เดินทาง รวมไปถึงความตั้งใจใช้ MaaS การวิเคราะห์ทำโดยใช้แบบจำลองสมการโครงสร้าง (Structural Equation Modeling; SEM) เพื่อหาความสัมพันธ์ระหว่างปัจจัยและเจตนาเชิงพฤติกรรมภายในแบบจำลอง ตัวอย่างที่ใช้ในการวิเคราะห์ทั้งสิ้น 402 ตัวอย่าง ผลการวิเคราะห์พบว่า ผู้ที่มีอายุต่ำกว่า 30 ปี มีความถี่ในการใช้งานแอปพลิเคชันต่าง ๆ ที่สูงกว่าผู้ที่มีอายุมากกว่า ยกเว้นแอปพลิเคชันการเงิน และจากการวิเคราะห์สมการเชิงโครงสร้าง พบว่า ปัจจัยที่ส่งผลต่อการใช้ MaaS คือ ทัศนคติต่อพฤติกรรม, ความคาดหวังด้านประสิทธิภาพ, อิทธิพลทางสังคม, มูลค่าราคา, และความยืดหยุ่นในการเดินทาง ในขณะที่ความคาดหวังด้านความพยายามและคุณภาพของสารสนเทศ มีผลต่อเจตนาในทางอ้อม โดยผ่านความคาดหวังด้านประสิทธิภาพ

North 14th Street Corridor Improvements Project, Ashley Nguyen, Samantha Corey, Maricela Paramo Reyes, Pooja Rajeev

Honors Program: Senior Projects (Public)

The following project report was a study of the North 14^th Street corridor ranging from Adams Street to Virginia Street conducted by University of Nebraska-Lincoln students for a senior design capstone project. Main focuses of the project were the intersection of Adams and 14^th Street and the 14^th Street bridges over Cornhusker Highway and Oak Creek. Study of this area included work in transportation, traffic, structural, geotechnical, water resources, and environmental engineering. However, this report done by students should not take the place of work done by licensed professional engineers.

This project was done in collaboration with …

Analysis Of Shear Failure In Ultra-High Performance Concrete Beams, Kevin Conway

Electronic Theses and Dissertations, 2020-2023

Ultra-high performance concrete (UHPC) is an emerging cementitious material type currently undergoing research in different structural applications. This material is characterized by a compressive strength of 150 MPa (22 ksi), according to the Association Francaise de Genie Civil and the Federal Highway Administration, high tension strength, and high durability. Additionally, UHPC consists of secondary reinforcement in the form of steel or polymeric fibers, which enable UHPC to exhibit tension hardening behavior and tension ductility previously ignored in conventional concrete mixes. Previous research has focused on applications in the transportation and bridge design industries; however, applications in buildings and other heavy …

Testing The Influence Of Water Depth In Design Of Created Oyster Reef For Living Shoreline Applications, Peter Vien

Electronic Theses and Dissertations, 2020-2023

Living shoreline stabilization has become a popular practice in shoreline restoration and bank protection; however, there are still many uncertainties regarding effective site design using living materials. For example, natural wave-breaks may be formed of created reefs, but the optimum water depth for hydrodynamic influence may differ from the preferred depth to ensure organism recruitment. The objective of this research is to understand how water depth relative to the crest of submerged artificial oyster reef structures influences nearshore hydrodynamic processes and sediment transport or retention in nearshore areas. A field study, sited in a microtidal estuary on the Atlantic coast …

A Deep Learning Approach For Spatiotemporal-Data-Driven Traffic State Estimation, Amr Hatem Ragaa Abdelraouf

Electronic Theses and Dissertations, 2020-2023

The past decade witnessed rapid developments in traffic data sensing technologies in the form of roadside detector hardware, vehicle on-board units, and pedestrian wearable devices. The growing magnitude and complexity of the available traffic data has fueled the demand for data-driven models that can handle large scale inputs. In the recent past, deep-learning-powered algorithms have become the state-of-the-art for various data-driven applications. In this research, three applications of deep learning algorithms for traffic state estimation were investigated. Firstly, network-wide traffic parameters estimation was explored. An attention-based multi-encoder-decoder (Att-MED) neural network architecture was proposed and trained to predict freeway traffic speed …

Automated Vehicle To Vehicle Conflict Analysis At Signalized Intersections By Camera And Lidar Sensor Fusion, Alabi Mehzabin Anisha

Electronic Theses and Dissertations, 2020-2023

This research presents an approach for safety diagnosis using sensor fusion techniques. This work fuses the outputs of a roadside low-resolution camera and a solid-state LiDAR. For vehicle classification and detection in videos, the YOLO v5 object detection model was utilized. The raw 3D point clouds generated by the LiDAR are processed by two manual steps - ground plane transformation and background segmentation, and two real-time steps - foreground clustering, and bounding box fitting. Taking the generated 2D bounding boxes of both camera and LiDAR, we associate the common bounding box pairs by thresholding on the Euclidean distance threshold of …

Assessing Public Perception And Proposing An Organized Questionnaire For The Deployment And Adoption Of Autonomous Vehicles, Md Rakibul Islam

Electronic Theses and Dissertations, 2020-2023

Since the general public will play a central role in the evolution of AVs, research has been performed to assess their perception and acceptance of AVs. Nevertheless, the most potential users of AVs, i.e., young, students, and more educated people, have not received any particular focus in those studies. This research gap has motivated us to assess their perceptions. Extensive data analyses of the survey at the University of Central Florida with a sample of 315 reveal that on average 57% of the respondents were familiar with AVs, and about 44% of the respondents felt positive perceptions toward AVs. Around …

Development Of A Decision-Making Tool For Prediction Of Rainfall-Induced Landslides, Faisal Shakib Ahmed

Theses and Dissertations--Civil Engineering

Landslides are frequently observed in mountainous places following prolonged periods of rain, frequently resulting in substantial topography changes. They pose a significant risk to human lives and the built environment globally, particularly in areas prone to excessive rainfall. While slope failures can occur because of human-caused factors such as slope loading or toe cutting for construction purposes, many failures occur because of rainfall penetrating an otherwise stable slope. A greater understanding of the characteristics and mechanics of landslides is consequently critical for geotechnical research, particularly in evaluating prospective mitigation strategies. The potential of slope failure is a primary consideration when …

Sewer Vapor Intrusion Pathway: Simulation Of Indoor Piping Systems And Operation Of Aroma-Voc Gas Analyzer, Hong Cheng Tay

Theses and Dissertations--Civil Engineering

Vapor Intrusion (VI) is a transport phenomenon that occurs when contaminants migrate from sub-surface sources into indoor spaces. Sewer tunnels, plumbing connections, and piping infrastructures can be important contributors to an increased potential of VI in a site, which results in indoor concentrations of volatile organic compounds (VOC). In the present work, the topic of sewer VI pathways were investigated through a prototype made from various types of indoor plumbing pipe fittings. This prototype simulates indoor piping systems and determine whether air and VOC were escaping through the pipe fittings. Moreover, this study is the first effort to use a …

Investigation Of Pfas Exposure Risks In Kentucky Using Mapping Tools, Sweta Ojha

Theses and Dissertations--Civil Engineering

Per- and polyfluoroalkyl substances (PFAS), a group of environmentally-persistent compounds, are environmentally ubiquitous and challenging to remediate. Several studies show that PFAS are detected in drinking water systems when sampling is conducted, making human exposure via drinking water an important health consideration. This research: 1) develops a mapping tool for prioritizing sampling locations; 2) establishes a method for making GIS data and meta(data) in the mapping tool accessible; 3) fosters decision making by integrating knowledge brokering and the alignment interest and influence matrix (AIIM). The tool developed is this research is a geospatial and statistical PFAS hot-spot screening model that …

Load And Pressure Distribution As A Function Of Dynamic Contact Stress At The Railroad Crosstie-Ballast Interface, Habib Abdil Unluoglu

Theses and Dissertations--Civil Engineering

Excessive crosstie wear and abrasion and ballast wear and fouling are two of the fundamental problems contributing to inadequate railroad track performance. This adversely affects the attainment and long-term maintenance of desired track geometric requirements. The magnitudes and distribution of the stresses at the crosstie-ballast (CT-B) interface must be known to determine the stress distribution on the ballast. However, the stresses at the top of the ballast often vary significantly. This study examines a new approach to predicting dynamic contact pressures at the interface of crosstie and ballast using the ‘square wave theory.’ A data set of in-track CT-B interfacial …

Understanding The Differences Between Industry Objectives And Institutional Learning, Kristen Schell

Theses and Dissertations--Civil Engineering

To combat understaffing in the construction industry, it is necessary to employ the best candidates possible. By identifying the most desirable skills in a construction employee from an industry perspective, institutional learning can better prepare graduates for the construction workforce. Currently there exists an information gap in the objectives of the construction industry and institutional learning. This gap produces graduates, professors, and employers with expectations that do not align. Reducing this gap will aid in the success of hiring recently graduated construction students who can meet the ever-changing demands of the industry. Construction students who are fresh out of college …

Using Stream Restoration To Mitigate Stormwater Runoff In An Urban Watershed: A Case Study, Jonathan M. Brantley

Theses and Dissertations--Biosystems and Agricultural Engineering

The goal of this case study was to evaluate the effectiveness a 275 m regenerative stream restoration design to mitigate stormwater runoff in a highly urbanized watershed. The restoration resulted in a wide, wetland-like floodplain, comprised of a rock base that was overtopped with a filtration media (approximately 30% woodchips and 70% topsoil). The creation of the floodplain-wetland complex in tandem with filtration media lead to increased storage capacity and an increase in hyporheic exchange within the system. Significant reductions were found for the storm hydrograph parameters volume, peak discharge, and time to peak. Reductions in baseflows were also noted …

Non-Destructive Characterization Of Bio-Cemented Soils Via Seismic Wave Measurement, Kyle Best

Williams Honors College, Honors Research Projects

The final outcome of this project is to examine the mechanical and resulting physical properties of bio-treated soil through microbial activity via non-destructive testing by seismic waves. The proposed bio-treatment strategy is through supplying specific nutrients for indigenous microbes within a soil specimen which in return produce calcium carbonates. The bio-minerals produced during these biogeochemical activities will improve the mechanical properties of soil by making cementation between soil grains. Additionally, a theoretical laboratory experimentational description will be provided to explain any associative effects on a specimen's water permeability or mechanical strength due to bio-mineralization within the samples. The characterization of …

Spatiotemporal Analysis Of Taxi And Transportation Network Companies (Tnc) Demand In The Wake Of Covid-19, Dewan Ashraful Parvez

Electronic Theses and Dissertations, 2020-2023

The objective of the thesis is to understand the factors affecting spatiotemporal ridehailing demand patterns as the COVID-19 pandemic has evolved. Specifically, the current study examines the key contributing factors of weekly ridehailing demand by employing Taxi and Transportation Network Companies (TNC) trip data from January 2019 through December 2020 for New York City. The ridehailing demand is partitioned across four time periods including Morning Peak, Morning Off Peak, Evening Peak and Evening Off Peak to accommodate for the time-of-day specific variations. Drawing on the high-resolution NYC data, the current study developed pooled spatial panel models to accommodate for the …

Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei

Electronic Theses and Dissertations, 2020-2023

This study proposes a software to upgrade the UCF SST's Automated Roadway Conflicts Identification System (ARCIS), a pixel-to-pixel manner automated safety diagnostics and conflict identification system. The system is developed to extract vehicles' trajectories and traffic parameters using unmanned aerial vehicles (UAV) video and utilizing deep learning techniques. A user-friendly tool to improve rapid system development with active-learning, data analysis, and visualization techniques is introduced, which is capable of traffic safety near-miss diagnostics based on the ARCIS output. Multiple approaches are used to enhance the system performance, including video stabilization, object filtering, stitching multiple videos, vehicle detection and tracing. In …

Finite Element Method Calculation Of A Prestressed Self Consolidating Concrete Beam, Vladyslav Machulsky

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study, a prestressed concrete box beam produced for the Stalnaker Run Bridge (SRB) replacement project using self-consolidating concrete (SCC) was simulated using finite element method (FEM) numerical technique. ANSYS, a commercial FEM software, was used to build the prestressed SCC box beam model. The FEM model was developed to understand the behavior of concrete and steel under prestressing loads, long-term effects, and superimposed loads. The SOLID65 and REINF264 element types were chosen to simulate the behavior of concrete and steel materials. Experimentally measured mechanical properties of concrete from the SRB project were used in the analysis allowing for …

Expanding The Applicability Of Press-Brake-Formed Tub Girders Through The Extension Of The Maximum Span Length And The Evaluation Of Pier Continuity, Robert M. Tennant

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Short Span Steel Bridge Alliance (SSSBA) is a group of bridge and buried soil steel structure industry leaders who provide educational information on the design and construction of short-span steel bridges in installations up to 140 feet in length. Within the SSSBA technical working group, a modular, shallow press-brake-formed tub girder (PBFTG) was developed to address the demand in the short-span steel bridge market for rapid infrastructure replacement solutions. PBFTGs consist of modular, shallow, trapezoidal boxes fabricated from cold-bent structural steel plate. A concrete deck, or other deck option, may be placed on the girder, and the modular unit …

Comparative Analysis Of Bridge Abutment Types, David Fell

Williams Honors College, Honors Research Projects

This project was developed to serve as a brief overview of design practices and considerations in the selection of highway bridge abutment types. This involved a review of literature in the form of reviewing national design guides and department of transportation (DOT) requirements from both US DOTs and international DOTs. The abutment types covered in this research included conventional reinforced concrete abutments with bearings, integral abutments, and semi-integral abutments. This research focused solely on highway bridge abutments, particularly on Ohio Department of Transportation design requirements due to their extensive use of semi-integral abutments. Superstructure elements and geometric requirements are primary …

Improving Traffic Efficiency At Tallmadge Circle Considering Autonomous Vehicles, Benjamin Mallinak

Williams Honors College, Honors Research Projects

In a set of behavioral recommendations outlined by the National Highway Traffic Safety Administration (NHTSA), navigating a roundabout is listed as one of twenty-eight regularly required abilities that a highly automated vehicle must be able to complete. As autonomous vehicle technology is developed, refined, and proven to meet these ability expectations, roundabouts and traffic circles that experience high volumes of traffic are anticipated to benefit from an improved efficiency of traffic flow. For Tallmadge Circle and other similar traffic control configurations, the degree of improvement will be dependent on the steps taken to utilize the capabilities of the autonomous vehicles …

Moisture Dependence Of Electrical Resistivity In Under-Percolated Cement-Based Composites With Multi-Walled Carbon Nanotubes, Geuntae Hong, Seongcheol Choi, Doo-Yeol Yoo, Taekgeun Oh, Yooseob Song, Jung Heum Yeon

Civil Engineering Faculty Publications

Cement-based piezoresistive composites have attracted significant attention as smart construction materials for embedding self-sensing capability in concrete infrastructure. Although a number of studies have been conducted using multi-walled carbon nanotubes (MWCNTs) as a functional filler for self-sensing cement-based composites, studies addressing the influence of the internal moisture state on the electrical properties are relatively scant. In this study, we aim to experimentally investigate the effect of internal moisture state on the electrical resistivity of cement-based composites containing MWCNTs as an electrically conductive medium to raise a need for calibration of self-sensing data considering the internal moisture state. To this end, …

Concentration Of Fecal Coliforms In Marine Waters Using Satellite Images In The Vicinity Of Pucusana. Bay, Peru., Y A. Palma-Gongora, F V. Zuta-Medina, Luis Angel Gomez-Cunya

Civil Engineering Faculty Publications

Water quality monitoring in coastal areas is challenging due to cost and time constraints. Identifying and selecting sampling sites accurately and effectively is crucial for efficient monitoring. The need for efficient monitoring of marine waters has led to exploring the use of remote sensing as one helpful alternative. Remote sensing is practical in several applications based on pattern recognition and information processing of large terrestrial and aquatic surface areas. Collected information is processed with various image processing techniques to identify objects such as microorganisms. Fecal coliforms are microorganisms that are indicators of sanitary quality and are present in human and …

Multifunctional Behaviors Of Two-Dimensional Materials And Their Composites, Yanxiao Li

Doctoral Dissertations

"Two-dimensional (2D) materials, including graphene, transition metal carbides or nitrides (TMC/Ns), have rich surface chemistry, superb electrical and mechanical properties. These unique properties make them ideal for multifunctional devices. Among them, we focused on graphene and TMC/Ns (i.e., MXenes), as well as their composites. Unlike the well-known graphene, MXenes, are relatively new and typically synthesized by the selective etching of the “A” layers from the layered carbides and /or nitrides known as MAX phases, which introduce MXenes with rich terminal groups (e.g. -O-, -OH, -F).

During my Ph.D. study, firstly, the adhesive and frictional behaviors, which are related to successful …

Modeling, Reconstruction, And Trend Analysis Of Global Storm Surges Using A Data-Driven Approach, Michael Getachew Tadesse

Electronic Theses and Dissertations, 2020-2023

Storm surge is the deadliest component of extreme sea levels with one of the highest global death tolls per event. Tide gauges are the primary sources for historical sea-level measurements from which storm surge data is extracted. However, tide gauges are unevenly distributed across the globe, and most records are short in length and have gaps; this creates a challenge to assess long-term trends and perform robust extreme value analysis. This dissertation introduces a data-driven storm surge modeling framework that trains statistical and machine learning models with atmospheric and oceanographic variables. Data-driven models (DDMs) are trained and validated for more …

Enhancing The Decision-Making Process For Public-Private Partnerships' Concession Agreements: Socio-Economic Sustainability Approaches, Faisal Alghamdi

Electronic Theses and Dissertations, 2020-2023

Designing a concession for Public-Private Partnerships (PPP) agreements is a complicated process due to the number of variables that need to be considered. The PPP concession has many parameters and components, and a change in one component will considerably impact other components. Hence, the determination of the fair values of the concession components needs to be based on mutual benefits between the concession participants. The concession participants have different parts in the development of the concession; hence, they have different perspectives and goals. Therefore, the concession design needs to be constructed to balance the interests of the involved parties to …