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Author: Chen Zhong Publisher: Open Dissertation Press ISBN: 9781361042755 Category : Technology & Engineering Languages : en Pages : 210
Book Description
This dissertation, "An Interdependent Infrastructure Asset Management Framework for Public Facilities" by Chen, Zhong, 鍾晨, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Infrastructure asset management (IAM) emerged in the 1970s, known then as "terotechnology," and then received increasing attention after the catastrophic explosion in the offshore oil and gas platform "Piper Alpha" in July 1988. Infrastructure assets play an important role in underpinning the well-being, social cohesion and economic growth of a society, offering transportation, energy supply, telecommunication, health care, education, accommodation and other services to most citizens. In megacities with high population density such as Hong Kong, infrastructure asset management becomes a puzzle for many infrastructure administrative sectors. Highly complex and dense districts have numerous urban infrastructure assets - such as highways, drinking water networks, gas pipes, public housing, and telecommunication networks - making it more difficult to achieve good infrastructure asset management. More than twenty sectors share the underground space to manage their own utilities in Hong Kong, compelling the asset managers to communicate and collaborate with each other for better asset management. To improve its urban management efficiency, Hong Kong has an urgent need to develop its cross-sector IAM practices. The aim of this research is to re-engineer an interdependent IAM framework for public facilities in order to help clarify the requirements and enable the establishment of a smart, systematic inter-network IAM system for achieving the efficiency, effectiveness, transparency, accuracy and safety of IAM in Hong Kong and other high-density megacities. This research began with a detailed literature review of infrastructure asset management and interdependency. Based on the literature review, correspondent semi-structured interviews were conducted to unveil the current practice and weakness of infrastructure asset management in Hong Kong. Three case studies of three typical infrastructure assets in Hong Kong related to public housing, underground utilities and temporary transportation management - were undertaken to demonstrate the process flow of infrastructure management by using flow diagrams; system dynamic modelling was adopted to simulate the interactions within such IAM in causal loop diagrams to reveal the interdependencies qualitatively. A validation questionnaire survey was designed and implemented to validate the research outcomes obtained. Generic causal loop diagrams have been developed from the individual causal loop diagrams to represent the interdependencies among general cases on IAM. In this research, a dependency matrix has been developed to illustrate the level of dependency as well as types of interdependencies, while asset hierarchy has been introduced to categorize and quantify the interdependencies of infrastructures. The dynamic interactions of different stakeholders and systems in the interdependent infrastructure network have been demonstrated in flow diagrams and further elaborated in causal loop diagrams. Feedback loops identified from causal loop diagrams assisted in analyzing the infrastructure asset management structures, performances and problems. The developed generic causal models for general cases on IAM could not only benefit the overall urban development in Hong Kong, but also shed light on other similar megacities for continuous improvement. Subjects: Engineering - Management Infrastructure (Economics) - Management
Author: Chen Zhong Publisher: Open Dissertation Press ISBN: 9781361042755 Category : Technology & Engineering Languages : en Pages : 210
Book Description
This dissertation, "An Interdependent Infrastructure Asset Management Framework for Public Facilities" by Chen, Zhong, 鍾晨, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Infrastructure asset management (IAM) emerged in the 1970s, known then as "terotechnology," and then received increasing attention after the catastrophic explosion in the offshore oil and gas platform "Piper Alpha" in July 1988. Infrastructure assets play an important role in underpinning the well-being, social cohesion and economic growth of a society, offering transportation, energy supply, telecommunication, health care, education, accommodation and other services to most citizens. In megacities with high population density such as Hong Kong, infrastructure asset management becomes a puzzle for many infrastructure administrative sectors. Highly complex and dense districts have numerous urban infrastructure assets - such as highways, drinking water networks, gas pipes, public housing, and telecommunication networks - making it more difficult to achieve good infrastructure asset management. More than twenty sectors share the underground space to manage their own utilities in Hong Kong, compelling the asset managers to communicate and collaborate with each other for better asset management. To improve its urban management efficiency, Hong Kong has an urgent need to develop its cross-sector IAM practices. The aim of this research is to re-engineer an interdependent IAM framework for public facilities in order to help clarify the requirements and enable the establishment of a smart, systematic inter-network IAM system for achieving the efficiency, effectiveness, transparency, accuracy and safety of IAM in Hong Kong and other high-density megacities. This research began with a detailed literature review of infrastructure asset management and interdependency. Based on the literature review, correspondent semi-structured interviews were conducted to unveil the current practice and weakness of infrastructure asset management in Hong Kong. Three case studies of three typical infrastructure assets in Hong Kong related to public housing, underground utilities and temporary transportation management - were undertaken to demonstrate the process flow of infrastructure management by using flow diagrams; system dynamic modelling was adopted to simulate the interactions within such IAM in causal loop diagrams to reveal the interdependencies qualitatively. A validation questionnaire survey was designed and implemented to validate the research outcomes obtained. Generic causal loop diagrams have been developed from the individual causal loop diagrams to represent the interdependencies among general cases on IAM. In this research, a dependency matrix has been developed to illustrate the level of dependency as well as types of interdependencies, while asset hierarchy has been introduced to categorize and quantify the interdependencies of infrastructures. The dynamic interactions of different stakeholders and systems in the interdependent infrastructure network have been demonstrated in flow diagrams and further elaborated in causal loop diagrams. Feedback loops identified from causal loop diagrams assisted in analyzing the infrastructure asset management structures, performances and problems. The developed generic causal models for general cases on IAM could not only benefit the overall urban development in Hong Kong, but also shed light on other similar megacities for continuous improvement. Subjects: Engineering - Management Infrastructure (Economics) - Management
Author: Chen Zhong Publisher: ISBN: 9781361042779 Category : Languages : en Pages :
Book Description
This dissertation, "An Interdependent Infrastructure Asset Management Framework for Public Facilities" by Chen, Zhong, 鍾晨, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Infrastructure asset management (IAM) emerged in the 1970s, known then as "terotechnology," and then received increasing attention after the catastrophic explosion in the offshore oil and gas platform "Piper Alpha" in July 1988. Infrastructure assets play an important role in underpinning the well-being, social cohesion and economic growth of a society, offering transportation, energy supply, telecommunication, health care, education, accommodation and other services to most citizens. In megacities with high population density such as Hong Kong, infrastructure asset management becomes a puzzle for many infrastructure administrative sectors. Highly complex and dense districts have numerous urban infrastructure assets - such as highways, drinking water networks, gas pipes, public housing, and telecommunication networks - making it more difficult to achieve good infrastructure asset management. More than twenty sectors share the underground space to manage their own utilities in Hong Kong, compelling the asset managers to communicate and collaborate with each other for better asset management. To improve its urban management efficiency, Hong Kong has an urgent need to develop its cross-sector IAM practices. The aim of this research is to re-engineer an interdependent IAM framework for public facilities in order to help clarify the requirements and enable the establishment of a smart, systematic inter-network IAM system for achieving the efficiency, effectiveness, transparency, accuracy and safety of IAM in Hong Kong and other high-density megacities. This research began with a detailed literature review of infrastructure asset management and interdependency. Based on the literature review, correspondent semi-structured interviews were conducted to unveil the current practice and weakness of infrastructure asset management in Hong Kong. Three case studies of three typical infrastructure assets in Hong Kong related to public housing, underground utilities and temporary transportation management - were undertaken to demonstrate the process flow of infrastructure management by using flow diagrams; system dynamic modelling was adopted to simulate the interactions within such IAM in causal loop diagrams to reveal the interdependencies qualitatively. A validation questionnaire survey was designed and implemented to validate the research outcomes obtained. Generic causal loop diagrams have been developed from the individual causal loop diagrams to represent the interdependencies among general cases on IAM. In this research, a dependency matrix has been developed to illustrate the level of dependency as well as types of interdependencies, while asset hierarchy has been introduced to categorize and quantify the interdependencies of infrastructures. The dynamic interactions of different stakeholders and systems in the interdependent infrastructure network have been demonstrated in flow diagrams and further elaborated in causal loop diagrams. Feedback loops identified from causal loop diagrams assisted in analyzing the infrastructure asset management structures, performances and problems. The developed generic causal models for general cases on IAM could not only benefit the overall urban development in Hong Kong, but also shed light on other similar megacities for continuous improvement. Subjects: Engineering - Management Infrastructure (Economics) - Management
Author: Waheed Uddin Publisher: McGraw Hill Professional ISBN: 0071820124 Category : Technology & Engineering Languages : en Pages : 545
Book Description
The Latest Tools and Techniques for Managing Infrastructure Assets Fully updated throughout, this practical resource provides a proven, cost-effective infrastructure asset management framework that integrates planning, design, construction, maintenance, rehabilitation, and renovation. Public Infrastructure Asset Management, Second Edition, describes the most current methodologies for effectively managing roads, bridges, airports, utility services, water and waste facilities, parks, public buildings, and sports complexes. This comprehensive guide covers information management and decision support systems, including proprietary solutions and new technological developments such as cloud storage. The book discusses total quality management, economics, life-cycle analysis, and maintenance, rehabilitation, and reconstruction programming. Up-to-date examples and real-world case studies illustrate the practical applications of the concepts presented in this thoroughly revised reference. This new edition features: Planning, needs assessment, and performance indicators Database management, data needs, and analysis Inventory, historical, and environmental data In-service monitoring and evaluation data Performance modeling and failure analysis Design for infrastructure service life Construction Maintenance, rehabilitation, and reconstruction strategies, policies, and treatment alternatives Dealing with new or alternate concepts Prioritization, optimization, and work programs Integrated infrastructure asset management systems Visual IMS: an illustrative infrastructure management system and applications Available asset management system and commercial off-the-shelf providers Benefits of implementing an asset management system Sustainability, environmental stewardship, and asset management Future directions for infrastructure asset management
Author: National Research Council Publisher: National Academies Press ISBN: 0309165954 Category : Technology & Engineering Languages : en Pages : 160
Book Description
Facilities now owned by the Federal Government are valued at over $300 billion. It also spends over $25 billion per year for acquisition, renovation, and upkeep. Despite the size of these sums, there is a growing litany of problems with federal facilities that continues to put a drain on the federal budget and compromise the effectiveness of federal services. To examine ways to address these problems, the sponsoring agencies of the Federal Facilities Council (FFC) asked the National Research Council (NRC) to develop guidelines for making improved decisions about investment in and renewal, maintenance, and replacement of federal facilities. This report provides the result of that assessment. It presents a review of both public and private practices used to support such decision making and identifies appropriate objectives, practices, and performance measures. The report presents a series of recommendations designed to assist federal agencies and departments improve management of and investment decision making for their facilities.
Author: John B. Miller Publisher: Springer Science & Business Media ISBN: 9780792372011 Category : Business & Economics Languages : en Pages : 696
Book Description
Essential to anyone involved in the planning, design, construction, operation or finance of infrastructure assets, this innovative work puts project delivery, finance, and operation together in a practical new formulation of how both public and private owners can better manage their entire collection of infrastructure facilities. Principles of Public and Private Infrastructure Delivery traces the history of infrastructure development and finance in the United States, and meticulously ties America's historical success in infrastructure to the simultaneous use of Design-Bid- Build, Design-Build, Design-Build-Operate, and Design-Build-Finance-Operate to deliver both public and private infrastructure collections. This historical background provides the basis for a new, integrated strategy for managing infrastructure assets in the 21st century. Principles of Public and Private Infrastructure Delivery provides the logic and practical tools that public and private decision-makers need to make better strategic choices in the application of scarce resources to infrastructure facilities. New tools are presented that permit simple comparisons of different project delivery and finance strategies. Practical approaches are provided that allow owners to quickly compare capital program alternatives for entire collections of infrastructure facilities. Practical legislative strategies for organizing the delivery of public infrastructure are presented and described. Principles of Public and Private Infrastructure Delivery provides a practical framework that owners can apply to implement a competitive infrastructure strategy and a principled framework that private sector firms can use to effectively reposition themselves in this changing market. It puts infrastructure asset management in an entirely new and more productive light, and establishes a new paradigm for steady improvement in the quality and cost performance of public and private infrastructure networks. Audience: This book will be an essential reference tool for infrastructure managers throughout the public and private sectors, including: Public Works Officials; Corporate Officials Responsible for Asset Management; State Legislators and Executive Officials; State Agencies and Regional Authorities Responsible for Transportation, Water Supply and Treatment; City Mayors, Town Managers, and Other Local Officials; Private Infrastructure Developers and Operators; Procurement and Project Counsel; Design-Builders; Constructors; Design Professionals; Management Consultants; Program Managers; and Financial Institutions.
Author: Ahmed Atef Youssef Publisher: ISBN: Category : Languages : en Pages : 255
Book Description
Current asset management practices of municipal infrastructure focus on modeling water, sewer and road networks into isolated layers and hence overlook the spatial and functional interdependencies among these assets. For instance, the performance of an asset can be impacted spatially and/or functionally by its neighboring assets. Vulnerability assessment, in this study, measures the asset’s degree of susceptibility for structural and/or functional failures triggered by failure of these functions in neighboring assets. The objective of this research is to develop a computational framework for optimizing intervention policies for likely vulnerable civil infrastructure networks considering spatial and functional interdependencies. The developed framework integrates three models; 1) interdependency assessment model, 2) vulnerability assessment model and 3) system dynamics model. The interdependency assessment model captures spatially and functionally interdependent assets utilizing two developed modules: spatial interdependency module and functional interdependency module. The spatial module utilizes ArcGIS geoprocessing tools in determining geographically interdependent assets. It encapsulates interdependent assets in a set of new layers and a newly developed database containing characteristics of such interdependencies. On the other hand, the functional module employs graph theory principles in determining an asset's degree of connectivity with its neighboring assets. The functional module will aid in recognizing the likely influence of an asset failure on its neighboring assets' performance using betweenness centrality. The output of the assessment model is in the form of bundles of spatially and functionally interdependent assets. For vulnerability assessment, three computational models are developed and experimented with to rate vulnerability of civil infrastructure systems considering their spatial and functional interdependencies with neighboring assets. These models are; 1) multi-attribute utility theory (MAUT), 2) artificial neural network (ANN) and 3) fuzzy c-mean clustering (FCM). Operation and maintenance reports obtained from two Canadian municipalities (the Cities of London and Hamilton, Ontario) were used to select factors influencing the vulnerability of water, sewer and road assets. For the MAUT model and based on the identified factors from operation and maintenance reports, surveys were sent to 65 experts and their feedback was elicited to construct utility functions to rate the degree of vulnerability of interdependent assets. The response rate of the survey was 75%. On the other hand, the ANN model utilizes self-organized mapping algorithm (SOM) to rate vulnerability of these assets based on recognized patterns in each dataset. The ANN model is a data driven model requiring sufficient amount of observed patterns and extensive effort in modeling with less involvement from experts. On the other hand, the FCM model is capable of accounting for ambiguity and imprecision associated with experts’ input in rating vulnerability of interdependent assets. Subsequently, the system dynamics (SD) model is developed to help identify possible least cost intervention policies for interdependent infrastructure assets that meet customers' expectations and decrease assets’ vulnerability. The developed SD model consists of 23 variables and 8 causal feedback loops. These causal loops are developed based on the reviewed literature and four unstructured interviews with three experts in the domain of municipal asset management; one from the City of London and two from the City of Hamilton. The SD is augmented with two optimization algorithms to find optimal intervention policies at bundle and network levels; 1) dynamic programing algorithm, 2) single objective genetic algorithm. Two case studies were analyzed and presented to demonstrate the application of the proposed framework and its expected contributions using data obtained from the Cities of London and Hamilton, Ontario. The interdependency model constructed 10,500 bundles for the City of London and 12,350 bundles for the City of Hamilton. For the vulnerability model, the developed FCM model showed better performance than ANN in mimicking experts’ judgement. The mean square error (MSE) for the FCM model was 42% less than that of the ANN model. Also, there was a linear correlation between the number of breaks for water assets and their vulnerability ratings (R2=0.79). When the SD model was supplemented by the modified genetic algorithm, the computational time for finding near optimal solutions at network level was decreased by 50% for the City of London and by 47.2 % for the City of Hamilton when compared to traditional genetic algorithm. The results of the developed vulnerability and SD models were shared with the experts. The developed vulnerability models will be useful for staff to justify increases to intervention budget to each City Council. In spite of the relatively complicated nature of ANN and FCM models, the experts were relatively comfortable using these models. However, the experts commented that this might not be the case with other municipalities that are still starting their asset management programs. For the SD model, the experts agreed that the model is beneficial for identifying possible least cost intervention policies at bundle and network level. They however pointed out that the SD model can be enhanced by accounting for factors related to social and economic characteristics of their customers. The modified genetic algorithm can be enhanced more by the deployment of parallel computing techniques to decrease its computational time.
Author: Kasthurirangan Gopalakrishnan Publisher: Springer Science & Business Media ISBN: 3642114059 Category : Technology & Engineering Languages : en Pages : 272
Book Description
Sustainable and resilient critical infrastructure systems is an emerging paradigm in an evolving era of depleting assets in the midst of natural and man-made threats to provide a sustainable and high quality of life with optimized resources from social, economic, societal and environmental considerations. The increasing complexity and interconnectedness of civil and other interdependent infrastructure systems (electric power, energy, cyber-infrastructures, etc.) require inter- and multidisciplinary expertise required to engineer, monitor, and sustain these distributed large-scale complex adaptive infrastructure systems. This edited book is motivated by recent advances in simulation, modeling, sensing, communications/information, and intelligent and sustainable technologies that have resulted in the development of sophisticated methodologies and instruments to design, characterize, optimize, and evaluate critical infrastructure systems, their resilience, and their condition and the factors that cause their deterioration. Specific topics discussed in this book include, but are not limited to: optimal infrastructure investment allocation for sustainability, framework for manifestation of tacit critical infrastructure knowledge, interdependencies between energy and transportation systems for national long term planning, intelligent transportation infrastructure technologies, emergent research issues in infrastructure interdependence research, framework for assessing the resilience of infrastructure and economic systems, maintenance optimization for heterogeneous infrastructure systems, optimal emergency infrastructure inspection scheduling, and sustainable rehabilitation of deteriorated transportation infrastructure systems.
Author: National Research Council Publisher: National Academies Press ISBN: 0309114004 Category : Technology & Engineering Languages : en Pages : 135
Book Description
The U.S. government is faced with growing challenges to managing its facilities and infrastructure. A number of factors such as shrinking budgets, an aging workforce, and increasing costs demand new approaches to federal facilities management. The Federal Facilities Council of the NRC has sponsored a number of studies looking at ways to meet these challenges. This fourth study focuses on the people and skills that will needed to manage federal facilities in the next decade and beyond. The book presents a discussion of the current context of facilities management; an analysis of the forces affecting federal facilities asset management; an assessment of core competencies for federal facilities management; a comprehensive strategy for workforce development; and recommendations for implementing that strategy.
Author: United Nations Publisher: ISBN: 9789211014334 Category : Languages : en Pages : 10
Book Description
This publication provides guidance for national and local policymakers on the management of their assets in support of the 2030 Agenda for Sustainable Development.
Author: Alireza Mohammadi Publisher: Springer Nature ISBN: 3030976149 Category : Business & Economics Languages : en Pages : 210
Book Description
This textbook provides practical and concrete guidance for the step-by-step implementation of decision-making for infrastructure asset management. Examples are used to illustrate how data from condition assessment are used to develop performance models, to estimate the effectiveness of investments that are prioritized and scheduled to accomplish reliable and convenient infrastructure for the wellbeing of the public and regional economic competitiveness. Book illustrates numerous worked problems to clarify ambiguity in developing a decision-making platform to prioritize assets and distribute budgets effectively and efficiently. Ensures reader understanding of the benefits and challenges of infrastructure asset management; Provides a step-by-step guide for the development of each component of an asset management decision-making system; Includes worked examples to clarify decision-making and budget allocation process.
Author: Chen Zhong
Author: Chen Zhong
Author: Chen Zhong
Author: Waheed Uddin
Author: National Research Council
Author: John B. Miller
Author: Ahmed Atef Youssef
Author: Kasthurirangan Gopalakrishnan
Author: National Research Council
Author: United Nations
Author: Alireza Mohammadi