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This book presents the paper form of the Special Issue (SI) on Smart Urban Water Networks. The number and topics of the papers in the SI confirm the growing interest of operators and researchers for the new paradigm of smart networks, as part of the more general smart city. The SI showed that digital information and communication technology (ICT), with the implementation of smart meters and other digital devices, can significantly improve the modelling and the management of urban water networks, contributing to a radical transformation of the traditional paradigm of water utilities. The paper collection in this SI includes different crucial topics such as the reliability, resilience, and performance of water networks, innovative demand management, and the novel challenge of real-time control and operation, along with their implications for cyber-security. The SI collected fourteen papers that provide a wide perspective of solutions, trends, and challenges in the contest of smart urban water networks. Some solutions have already been implemented in pilot sites (i.e., for water network partitioning, cyber-security, and water demand disaggregation and forecasting), while further investigations are required for other methods, e.g., the data-driven approaches for real time control. In all cases, a new deal between academia, industry, and governments must be embraced to start the new era of smart urban water systems.
Technology: general issues --- hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber-physical security --- cyber-security --- cyber-physical attacks --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA --- hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber-physical security --- cyber-security --- cyber-physical attacks --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA
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Just as we learn from, influence, and are influenced by others, our social interactions drive economic growth in cities, regions, and nations--determining where households live, how children learn, and what cities and firms produce. From Neighborhoods to Nations synthesizes the recent economics of social interactions for anyone seeking to understand the contributions of this important area. Integrating theory and empirics, Yannis Ioannides explores theoretical and empirical tools that economists use to investigate social interactions, and he shows how a familiarity with these tools is essential for interpreting findings. The book makes work in the economics of social interactions accessible to other social scientists, including sociologists, political scientists, and urban planning and policy researchers. Focusing on individual and household location decisions in the presence of interactions, Ioannides shows how research on cities and neighborhoods can explain communities' composition and spatial form, as well as changes in productivity, industrial specialization, urban expansion, and national growth. The author examines how researchers address the challenge of separating personal, social, and cultural forces from economic ones. Ioannides provides a toolkit for the next generation of inquiry, and he argues that quantifying the impact of social interactions in specific contexts is essential for grasping their scope and use in informing policy. Revealing how empirical work on social interactions enriches our understanding of cities as engines of innovation and economic growth, From Neighborhoods to Nations carries ramifications throughout the social sciences and beyond.
Social integration --- Economics --- Economic sociology --- Socio-economics --- Socioeconomics --- Sociology of economics --- Inclusion, Social --- Integration, Social --- Social inclusion --- Sociological aspects. --- Social aspects --- Social interaction --- Human interaction --- Interaction, Social --- Symbolic interaction --- Exchange theory (Sociology) --- Psychology --- Social psychology --- Sociology --- Economic aspects. --- Belonging (Social psychology) --- Economic aspects --- Sociological aspects --- E-books --- Social interaction - Economic aspects --- Economics - Sociological aspects --- AlonsoЍillsЍuth model. --- Duranton model. --- LucasВossi-Hansberg model. --- Thomas Schelling. --- Zipf's law. --- agglomeration. --- archipelago. --- autarkic cities. --- city geometry. --- city size distribution. --- city size. --- city. --- community choice. --- community. --- contextual effects. --- decisions. --- diversification. --- econometrics. --- economic geography. --- economic growth. --- economic integration. --- economics. --- empirics. --- firms. --- geography. --- graph theory. --- hierarchy principle. --- housing. --- human capital spillovers. --- industrial specialization. --- intercity trade. --- job matching. --- labor market frictions. --- localization. --- location decisions. --- microneighborhood. --- neighborhood choice. --- neighborhood effects. --- neighborhood. --- physical capital. --- physical space. --- productivity. --- racial preferences. --- risk pooling. --- site rents. --- social effects. --- social interactions. --- social learning. --- social networks. --- social structure. --- spatial aggregation. --- spatial clustering. --- spatial econometrics. --- spatial economic activity. --- spatial equilibrium. --- spatial interactions. --- spatial structure. --- synthetic neighborhood. --- total factor productivity. --- urban archipelago. --- urban economy. --- urban evolution. --- urban expansion. --- urban externalities. --- urban growth. --- urban infrastructure. --- urban networks. --- urban social fabric. --- urban spatial structure. --- urban specialization. --- urban structure. --- urban transition. --- urban transportation. --- urban wage premium. --- urbanization.
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This book presents the paper form of the Special Issue (SI) on Smart Urban Water Networks. The number and topics of the papers in the SI confirm the growing interest of operators and researchers for the new paradigm of smart networks, as part of the more general smart city. The SI showed that digital information and communication technology (ICT), with the implementation of smart meters and other digital devices, can significantly improve the modelling and the management of urban water networks, contributing to a radical transformation of the traditional paradigm of water utilities. The paper collection in this SI includes different crucial topics such as the reliability, resilience, and performance of water networks, innovative demand management, and the novel challenge of real-time control and operation, along with their implications for cyber-security. The SI collected fourteen papers that provide a wide perspective of solutions, trends, and challenges in the contest of smart urban water networks. Some solutions have already been implemented in pilot sites (i.e., for water network partitioning, cyber-security, and water demand disaggregation and forecasting), while further investigations are required for other methods, e.g., the data-driven approaches for real time control. In all cases, a new deal between academia, industry, and governments must be embraced to start the new era of smart urban water systems.
Technology: general issues --- hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber–physical security --- cyber-security --- cyber–physical attacks --- n/a --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA --- cyber-physical security --- cyber-physical attacks
Choose an application
This book presents the paper form of the Special Issue (SI) on Smart Urban Water Networks. The number and topics of the papers in the SI confirm the growing interest of operators and researchers for the new paradigm of smart networks, as part of the more general smart city. The SI showed that digital information and communication technology (ICT), with the implementation of smart meters and other digital devices, can significantly improve the modelling and the management of urban water networks, contributing to a radical transformation of the traditional paradigm of water utilities. The paper collection in this SI includes different crucial topics such as the reliability, resilience, and performance of water networks, innovative demand management, and the novel challenge of real-time control and operation, along with their implications for cyber-security. The SI collected fourteen papers that provide a wide perspective of solutions, trends, and challenges in the contest of smart urban water networks. Some solutions have already been implemented in pilot sites (i.e., for water network partitioning, cyber-security, and water demand disaggregation and forecasting), while further investigations are required for other methods, e.g., the data-driven approaches for real time control. In all cases, a new deal between academia, industry, and governments must be embraced to start the new era of smart urban water systems.
hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber–physical security --- cyber-security --- cyber–physical attacks --- n/a --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA --- cyber-physical security --- cyber-physical attacks
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