[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120411-en":3,"doc-seo-120411-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120411,2336464648746,"Skyler","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Machine Learning for Risk Management in Construction Projects - Doctoral Dissertation","Construction projects face inevitable risks and uncertainties arising from complex, nonlinear interactions among activities, stages, and stakeholders. Risk Management (RM) aims to identify, assess, and mitigate risks to support on-time, on-budget delivery, achievement of objectives and constraints, and protection of workers’ safety. In practice, RM is often manual, time-consuming, superficial, and ineffective. Conventional risk identification and assessment rely heavily on individual, experience-based expert judgments, limiting knowledge transfer and hindering model generalization across future projects.","MACHINE LEARNING FOR RISK MANAGEMENT IN CONSTRUCTION  \nPROJECTS  \nDoctoral Dissertation of Ania Khodabakhshian  \nSupervisor: Prof. Fulvio Re Cecconi  \nTutor: Prof. Matteo Francesco Ruta Chair of the PhD Program: Prof. Marco Scaioni  \n2023 – 36TH PhD Cycle  \nI would like to express my heartfelt gratitude and appreciation to everyone who has contributed to the completion of my Ph.D. thesis, this prestigious chapter of my academic career, and this memorable period of my life.  \nFirst and foremost, I am deeply grateful to my supervisor, Prof. Fulvio Re Cecconi, for his exceptional guidance, unwavering support, and invaluable mentorship throughout my PhD journey. I cannot thank him enough for believing in me and trusting my abilities to embark on this journey with him to learn more about the fascinating and interdisciplinary world of AI in the Construction sector and to develop my research and analytical capabilities, as well as my personal competencies as a researcher. His expertise, encouragement, and insightful feedback have been instrumental in shaping the first steps of my professional career and the direction and quality of this thesis.  \nI would also like to extend my sincere appreciation to the Jacobs Italia SPA for awarding me the scholarship that has provided me with the necessary financial means to pursue my Ph.D. and granting me an unparalleled experience of practical research in the industry. The constant support of my colleagues at Jacobs, especially Maria Elena Gasperini, Carlo Marchesoni, and Dalia Zecchi, in providing the required resources and documents and setting up meetings and interviews with project managers in the company, have been crucial in facilitating the progress of this research.  \nI am grateful to my colleagues and professors at Politecnico di Milano’s Department of Architecture, Built Environment, and Construction Engineering, whose intellectual discussions, diverse perspectives, and collaborative spirit have created a stimulating academic environment forme. Prof. Enrico De Angelis as my first tutor and a kind mentor and Prof. Andrea Maini as a caring and devoted scholar and organizer of collaborative research activities in various scopes, have helped me significantly get involved in extracurricular activities and research projects, which increased my confidence and professional network during these three years. I want to particularly thank Dr. Luca Rampini, my previous research fellow and dear friend, who has been a great source of inspiration and guidance for me as a more senior group member. I also appreciate the support, encouragement, and valuable insights of my other colleagues at the ABC department, who created a friendly and pleasant environment for me, accepted me with open arms, and taught me Italian to converse with them in this beautiful language.  \nI want to extend my thanks to the Garrick Institute of Risk Sciences at the University of California, Los Angeles, Prof. Enrique Lopez Droguett, and Prof. Ali Mosleh for hosting me during my visiting period, for creating a stimulating and friendly environment for me in the office, and for helping me develop my knowledge in the field of risk analysis. Their contribution in shaping the technical part of this thesis is invaluable. I also want to thank CIB for awarding me multiple awards and grants during my Ph.D., which has been a great source of encouragement for an early career researcher like me. I am grateful for the professional network I gained thanks to  \nCIB, especially Prof. Anumba, whose gentle guidance and advice have always helped me make important decisions in my career.  \nTo my family; I am immensely grateful for their unwavering belief in me and their constant support throughout this challenging journey as an expat in a new country. The unconditional love, understanding, and encouragement of my parents, sister, and brother-in-law have been my source of strength and motivation in this chapter of life.  \nTo my friends, I am deeply i","cbCaibNtTegt5lO3","https://ap.wps.com/l/cbCaibNtTegt5lO3","pdf",11034594,1,214,"English","en",105,"# Background\n## Risks and uncertainties in construction projects\n## Role of Risk Management (RM)\n## Limitations of manual and expert-judgment approaches\n## Need for knowledge transfer and model generalization","[{\"question\":\"Why are risks and uncertainties considered unavoidable in construction projects?\",\"answer\":\"Because construction involves unique, uncertain, and complex elements, including many activities, stages, and stakeholders with nonlinear relationships.\"},{\"question\":\"How does Risk Management (RM) contribute to construction project outcomes?\",\"answer\":\"RM identifies, assesses, and mitigates risks to help ensure on-time and on-budget delivery, meet objectives and constraints, and improve workers’ safety.\"},{\"question\":\"What are the main limitations of conventional risk identification and assessment?\",\"answer\":\"They are often manual, time-consuming, superficial, and ineffective, and they depend on individualized, experience-based expert judgments that are highly personalized and context-dependent.\"}]","Machine Learning for Risk Management in Construction Projects - Doctoral Dissertation | PDF",1785729908,539,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-for-risk-management-in-construction-projects-doctoral-dissertation","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-for-risk-management-in-construction-projects-doctoral-dissertation/120411/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why are risks and uncertainties considered unavoidable in construction projects?","Question",{"text":75,"@type":76},"Because construction involves unique, uncertain, and complex elements, including many activities, stages, and stakeholders with nonlinear relationships.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does Risk Management (RM) contribute to construction project outcomes?",{"text":80,"@type":76},"RM identifies, assesses, and mitigates risks to help ensure on-time and on-budget delivery, meet objectives and constraints, and improve workers’ safety.",{"name":82,"@type":73,"acceptedAnswer":83},"What are the main limitations of conventional risk identification and assessment?",{"text":84,"@type":76},"They are often manual, time-consuming, superficial, and ineffective, and they depend on individualized, experience-based expert judgments that are highly personalized and context-dependent.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]