A Course Design on Investigating Inefficiency and Corruption in Infrastructure Projects
کد مقاله : 1014-ISEEC
نویسندگان:
سیدعلی قهاری *1، سزار کیروز2، شبنم قطبی1
1مدرس - دانشگاه پردو
2مشاور بانک جهانی
چکیده مقاله:
In many countries, corruption is a serious problem in transportation infrastructure delivery that continues to affect adversely the quality and quantity of the finished product, and ultimately, public trust in governance government. Construction practices constitute a wide range of disciplinary approaches, and there is a huge gap between the bureaucracy and system organization in the industry and the amount of knowledge that graduate engineers have gained during their undergraduate studies. The objective of this paper is to introduce a novel course design on detecting and measuring inefficiencies and corruption in infrastructure projects by incorporating the most recent advanced technologies in Connected and Automated Vehicles (CAVs) and big data analytics. This course helps students become familiar with all stages of an infrastructure project from the need’s assessments and goals identification, to the end of the project life. In all of the stages, inefficiencies and corruption can occur, and in order to be able to reduce such malfunctioning, engineers and policymakers should be aware of the ways that those instances occur. The designed course also provides a chance to lead by example and to deliver an exceptional model for preparing instructors in content delivery – endorsing enduring outcomes using an application-based delivery method. The key factors that this course covers are procurement, red flags, white elephants, accounting, and value engineering.
کلیدواژه ها:
Course Design, Inefficiencies, Corruption, CAVs, Big Data, Application-Based Delivery
وضعیت : مقاله پذیرفته شده است