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The Data Shake : Opportunities and Obstacles for Urban Policy Making
| The Data Shake : Opportunities and Obstacles for Urban Policy Making |
| Autore | Concilio Grazia |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (134 pages) |
| Altri autori (Persone) |
PucciPaola
RaesLieven MareelsGeert |
| Collana | SpringerBriefs in Applied Sciences and Technology |
| Soggetto topico |
Urban & municipal planning
Sociology Public administration |
| Soggetto non controllato |
Urban Geography / Urbanism (inc. megacities, cities, towns)
Urban Studies/Sociology Public Policy Urban Geography and Urbanism Urban Sociology Urban Policy Urban mobility Data visualisation public policy making policy making processes smart city POLIVISU project urban data open access Urban & municipal planning Sociology Urban communities Public administration |
| ISBN | 3-030-63693-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910473457903321 |
Concilio Grazia
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human-Nature Interactions : Exploring Nature's Values Across Landscapes
| Human-Nature Interactions : Exploring Nature's Values Across Landscapes |
| Autore | Misiune Ieva |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (434 pages) |
| Altri autori (Persone) |
DepellegrinDaniel
Egarter ViglLukas |
| Soggetto topico |
Biodiversitat
Medi ambient - Protecció Ecologia aplicada Ecologia humana Efecte del clima sobre l'home Desenvolupament sostenible |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Human nature interactions
Nature's benefits to society Science-policy interface Scale and gradient analyses Environmental and human impacts Spatial planning and conservation Urban Geography and Urbanism |
| ISBN | 3-031-01980-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580292403321 |
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Misiune Ieva
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Migration, Urbanity and Cosmopolitanism in a Globalized World
| Migration, Urbanity and Cosmopolitanism in a Globalized World |
| Autore | Lejeune Catherine |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (183 pages) |
| Altri autori (Persone) |
Pagès-El KarouiDelphine
SchmollCamille ThiolletHélène |
| Collana | IMISCOE Research |
| Soggetto topico |
Migration, immigration & emigration
Public administration Human geography |
| Soggetto non controllato |
Migration
Public Policy Human Geography Human Migration Urban Geography and Urbanism Migration Policy Open access Urban studies Global cities Urban planning Population mobility migration and integration Superdiversity Urban stratification Cosmopolitanism Contemporary cities Residential patterns Migration, immigration & emigration Public administration |
| ISBN | 3-030-67365-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910476914203321 |
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Lejeune Catherine
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Polarimetric Synthetic Aperture Radar : Principles and Application
| Polarimetric Synthetic Aperture Radar : Principles and Application |
| Autore | Hajnsek Irena |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Altri autori (Persone) | DesnosYves-Louis |
| Collana | Remote Sensing and Digital Image Processing |
| Soggetto topico |
Geographical information systems (GIS) & remote sensing
Other technologies & applied sciences Teaching of a specific subject Agricultural science Forestry & silviculture: practice & techniques Urban & municipal planning |
| Soggetto non controllato |
Remote Sensing/Photogrammetry
Signal, Image and Speech Processing Science Education Agriculture Forestry Urban Geography / Urbanism (inc. megacities, cities, towns) Digital and Analog Signal Processing Urban Geography and Urbanism Earth Remote Sensing PolSARpro Radar Polarimetry Radar Polarimetry Toolbox Synthetic Aperture Radar Open Access Geographical information systems & remote sensing Imaging systems & technology Signal processing Teaching of a specific subject Science: general issues Agricultural science Forestry & silviculture: practice & techniques Urban & municipal planning |
| ISBN | 3-030-56504-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Pioneering Space-Borne SAR Interferometry -- Organising Airborne Polarimetric SAR Campaigns and Scientific Studies -- Dialoguing with POLinSAR Scientists and Training the Next Generation -- Pioneering Space-Borne SAR Polarimetric Interferometry -- Future Missions -- From Science to Applications -- Outlook -- In Memoriam -- Contents -- Symbols -- 1: Basic Principles of SAR Polarimetry -- 1.1 Theory of Radar Polarimetry -- 1.1.1 Wave Polarimetry -- 1.1.1.1 Electromagnetic Waves and Wave Polarization Descriptors -- 1.1.1.2 Totally and Partially Polarized Waves -- 1.1.1.3 Change of Polarization Basis -- 1.1.2 Scattering Polarimetry -- 1.1.2.1 The Scattering Matrix -- 1.1.2.2 Scattering Polarimetry Descriptors -- 1.1.2.3 Partial Scattering Polarimetry -- 1.1.2.4 Change of Polarization Basis -- 1.1.2.5 Scatterers Characterization by Single, Dual, Compact and Full Polarimetry -- 1.2 SAR Data Statistical Description and Speckle Noise Filtering -- 1.2.1 One-Dimensional Gaussian Distribution -- 1.2.2 Multidimensional Gaussian Distribution -- 1.2.3 The Wishart Distribution -- 1.2.4 The Polarimetric Covariance and Coherency Matrix -- 1.2.5 The Polarimetric Coherence -- 1.2.6 Polarimetric Speckle Noise Filtering -- 1.2.6.1 PolSAR Speckle Noise Filtering Principles -- 1.2.6.2 PolSAR Speckle Noise Filtering Alternatives -- 1.3 Polarimetric Scattering Decomposition Theorems -- 1.3.1 Coherent Scattering Decomposition Techniques -- 1.3.1.1 The Pauli Decomposition -- 1.3.2 Incoherent Scattering Decompositions Techniques -- 1.3.2.1 Three-Component Freeman Decomposition -- 1.3.2.2 Four-Component Yamaguchi Decomposition -- 1.3.2.3 Non-negative Eigenvalue Decomposition -- 1.3.2.4 Eigenvector-Eigenvalue-Based Decomposition -- 1.3.2.5 The Touzi Target Scattering Decompositions -- 1.4 Polarimetric SAR Interferometry.
1.4.1 SAR Interferometry -- 1.4.2 Algorithms for Optimum Interferogram Generation -- 1.4.3 Model-Based Polarimetric SAR Interferometry -- 1.4.3.1 PolInSAR for Bare Surface Scattering -- 1.4.3.2 PolInSAR for Random Volume Scattering -- 1.4.3.3 PolInSAR Two-Layer Combined Surface and Random Volume Scattering -- 1.5 Polarimetric SAR Tomography -- 1.5.1 TomoSAR and PolTomoSAR as Spectral Estimation Problems: Non-model-Based Adaptive Solutions -- 1.5.2 Model-Based PolTomoSAR -- 1.5.3 Coherence Tomography -- References -- 2: Forest Applications -- 2.1 Introduction -- 2.2 Forest Classification -- 2.2.1 Land Cover Classification in Tropical Lands Using PolSAR -- 2.2.1.1 Introduction, Motivation and Literature Review -- 2.2.1.2 Methodology -- 2.2.1.3 Experimental Results -- 2.2.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.2 Forest Mapping and Classification Using Polarimetric and Interferometric Data -- 2.2.2.1 Introduction, Motivation and Literature Review -- 2.2.2.2 Methodology -- 2.2.2.3 Experimental Results -- 2.2.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.3 Detection of Fire Scars -- 2.2.3.1 Introduction, Motivation and Literature Review -- 2.2.3.2 Methodology -- 2.2.3.3 Experimental Results -- 2.2.3.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.3 Forest Height Estimation -- 2.3.1 Introduction, Motivation and Literature Review -- 2.3.2 Methodology -- 2.3.2.1 Random-Volume-Over-Ground Inversion -- 2.3.2.2 Non-volumetric Decorrelation Contributions -- 2.3.3 Experimental Results -- 2.3.4 Comparison with Single/Dual Polarimetric Data -- 2.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. 2.4 Forest Vertical Structure Estimation Using Multi-baseline Polarimetric SAR Acquisitions -- 2.4.1 Polarimetric SAR Tomography -- 2.4.1.1 Introduction, Motivation and Literature Review -- 2.4.1.2 Methodology -- 2.4.1.3 Experimental Results -- 2.4.1.4 Comparison with Single/Dual Polarization Data -- 2.4.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.4.2 Estimation of Vegetation Structure Parameters -- 2.4.2.1 Introduction, Motivation and Literature Review -- 2.4.2.2 Methodology -- 2.4.2.3 Experimental Results -- 2.4.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5 Biomass Estimation -- 2.5.1 Biomass Estimation: A Review -- 2.5.1.1 Introduction, Motivation -- 2.5.1.2 Methodology -- 2.5.1.2.1 Direct Biomass Estimation -- 2.5.1.2.2 Model-Based Estimation -- 2.5.1.2.3 Allometric Biomass Estimation -- 2.5.1.3 Experimental Results -- 2.5.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5.2 Biomass Estimation from Semi-empirical Relationships -- 2.5.2.1 Introduction, Motivation and Literature Review -- 2.5.2.2 Methodology -- 2.5.2.3 Experimental Results -- 2.5.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.6 Summary -- References -- 3: Agriculture and Wetland Applications -- 3.1 Introduction -- 3.2 Crop Type Mapping -- 3.2.1 Evaluation of C-Band Polarimetric SAR for Crop Classification -- 3.2.1.1 Introduction, Motivation and Literature Review -- 3.2.1.2 Methodology -- 3.2.1.3 Experimental Results -- 3.2.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.2.2 Crop Classification Using Multitemporal L- and C-Band Airborne Polarimetric SAR. 3.2.2.1 Introduction, Motivation and Literature Review -- 3.2.2.2 Methodology -- 3.2.2.3 Experimental Results -- 3.2.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.2.5 Discussion on the Role of Polarimetry on the Maturity of the Application and Conclusions -- 3.3 Soil Moisture Estimation Under Vegetation Using SAR Polarimetry -- 3.3.1 Introduction, Motivation and Literature Review -- 3.3.2 Methodology -- 3.3.3 Experimental Results -- 3.3.4 Comparison with Single-/Dual-Pol Data -- 3.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusion -- 3.4 Crop Phenology Estimation Using SAR Polarimetry -- 3.4.1 Introduction, Motivation and Literature Review -- 3.4.2 Methodology -- 3.4.3 Experimental Results -- 3.4.3.1 Analysis -- 3.4.3.1.1 Cereals -- 3.4.3.1.2 Canola -- 3.4.3.1.3 Field Pea -- 3.4.3.2 Retrieval Algorithms -- 3.4.3.3 Results and Validation -- 3.4.3.3.1 Wheat -- 3.4.3.3.2 Oat -- 3.4.3.3.3 Barley -- 3.4.4 Comparison with Single-/Dual-Polarisation Data -- 3.4.5 Discussion on Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5 Wetland Observation -- 3.5.1 C-Band Polarimetric Time Series for Delineating and Monitoring Seasonal Dynamics of Wetlands -- 3.5.1.1 Introduction, Motivation and Literature Review -- 3.5.1.2 Methodology -- 3.5.1.3 Experimental Results -- 3.5.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.1.5 Discussion on the Role of Polarisation, on the Maturity of the Application and Conclusions -- 3.5.2 Tropical Wetland Characterisation with Polarimetric SAR -- 3.5.2.1 Introduction, Motivation and Literature Review -- 3.5.2.2 Methodology -- 3.5.2.3 Experimental Results -- 3.5.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. 3.5.3 Subarctic Peatland Characterisation and Monitoring -- 3.5.3.1 Introduction, Motivation and Literature Review -- 3.5.3.2 Experimental Results -- 3.5.3.2.1 La Baie des Mines -- Peatland Hydrology Characteristics for Bog-Fen Discrimination -- Application of the Touzi Decomposition to Polarimetric ALOS Data: Required Processing Window Size for Unbiased ICTD -- Analysis of the ALOS Acquisitions -- Peatland Subsurface Water Flow Monitoring Using Polarimetric May and November ALOS Acquisitions: Multi-polarisation Versus Pol... -- 3.5.3.2.2 Wapusk National Park -- 3.5.3.3 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5.3.4 Acknowledgement -- 3.6 Monitoring Change Detection Produced by Tsunamis and Earthquakes by Using a Fully Polarimetric Model-Based Decomposition -- 3.6.1 Introduction, Motivation and Literature Review -- 3.6.2 Methodology -- 3.6.3 Experimental Results -- 3.6.4 Comparison with Single-/Dual-Polarisation Data -- 3.6.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.7 Summary (Table 3.13) -- References -- 4: Cryosphere Applications -- 4.1 Introduction -- 4.2 Land Ice Extinction Estimation Using PolInSAR -- 4.2.1 Introduction, Motivation, and Literature Review -- 4.2.2 Methodology -- 4.2.3 Experimental Results -- 4.2.4 Comparison with Single/Dual Polarisation Data -- 4.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application, and Conclusions -- 4.3 Snow Water Equivalent Retrieval -- 4.3.1 Introduction, Motivation, and Literature Review -- 4.3.2 Methodology -- 4.3.2.1 Polarimetric Decomposition for Snow-Covered Areas -- 4.3.2.2 Snow Water Equivalent Retrieval Algorithm -- 4.3.3 Experimental Results -- 4.3.4 Comparison with Single/Dual Polarisation Data. 4.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. |
| Record Nr. | UNINA-9910473456003321 |
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Hajnsek Irena
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Resilient Urban Futures
| Resilient Urban Futures |
| Autore | Hamstead Zoé A |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (195 pages) |
| Altri autori (Persone) |
IwaniecDavid M
McPhearsonTimon Berbés-BlázquezMarta CookElizabeth M Muñoz-EricksonTischa A |
| Collana | The Urban Book |
| Soggetto topico |
Urban & municipal planning
Climate change Sustainability |
| Soggetto non controllato |
Urban Geography / Urbanism (inc. megacities, cities, towns)
Climate Change/Climate Change Impacts Sustainable Development Urban Geography and Urbanism Earth System Sciences Environmental Social Sciences Urban Resilience Urban Futures Sustainability Science Urban Transformation Future Scenarios Climate Change Open Access Urban Book Urban & municipal planning Sustainability |
| ISBN | 3-030-63131-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Acknowledgments -- Contents -- Editors and Contributors -- 1 A Framework for Resilient Urban Futures -- 1.1 Introduction -- 1.2 An Approach to Urban Resilience Research-Practice -- 1.3 Linking the Past, Present, and Future -- References -- 2 How We Got Here: Producing Climate Inequity and Vulnerability to Urban Weather Extremes -- 2.1 Breaking Climatological Records -- 2.2 Urbanization and Extreme Weather Events -- 2.2.1 Urban Industrialization -- 2.2.2 Urban Climatology -- 2.3 Breaking Political Will -- 2.3.1 Liberal Trade Narrative -- 2.3.2 Rational Choice Narrative -- 2.3.3 Global Climate Narrative -- 2.4 Urban Climate Extremes Exacerbate Existing Inequities -- 2.5 Conclusion -- References -- 3 Social, Ecological, and Technological Strategies for Climate Adaptation -- 3.1 Social-Ecological-Technological Systems (SETS) Framework -- 3.2 Content Analysis of Municipal Planning Documents and Governance Strategies in SETS -- 3.2.1 Selecting Municipal Planning Documents -- 3.2.2 Extracting Governance Strategies -- 3.2.3 Labeling Strategies with Levers and Exogenous Drivers -- 3.2.4 The SETS Codebook -- 3.3 Conclusion -- References -- 4 Mapping Vulnerability to Weather Extremes: Heat and Flood Assessment Approaches -- 4.1 Vulnerability Frameworks and Spatial Vulnerability Assessments for Resilience -- 4.1.1 Extreme Heat Vulnerability -- 4.1.2 Flood Vulnerability -- 4.2 Role of Vulnerability Maps -- 4.3 Urban Resilience to Extremes (UREx) Assessments and Mapping Methodologies -- 4.3.1 Vulnerability Assessments -- 4.3.2 Mapping Urban Landscapes -- 4.3.3 Mapping Extreme Event Injustice -- 4.4 Conclusion -- References -- 5 Producing and Communicating Flood Risk: A Knowledge System Analysis of FEMA Flood Maps in New York City -- 5.1 Introduction -- 5.1.1 The National Flood Insurance Program -- 5.1.2 Flood Insurance Rate Maps as a Knowledge System.
5.1.3 Knowledge Systems Analysis -- 5.2 New York City Flood Map Case Study -- 5.3 Discussion and Conclusion -- References -- 6 Positive Futures -- 6.1 Approach -- 6.1.1 A Framework for Positive Futures -- 6.1.2 Development of the UREx SRN Scenarios -- 6.2 Scoping and Framing -- 6.3 Goals and Intervention Strategies -- 6.4 Scenario Specificity -- 6.5 Evaluation and Dissemination -- 6.6 Conclusion -- References -- 7 Setting the Stage for Co-Production -- 7.1 Co-Production to Address Urban Resilience Challenges -- 7.2 Co-Production of Positive Long-Term Visions in the UREx SRN -- 7.3 Elements of Co-Production -- 7.3.1 Process and Outcomes -- 7.3.2 Collective Commitment -- 7.3.3 Credibility and Legitimacy -- 7.3.4 Diversity of Perspectives -- 7.4 Confronting the Challenges of Co-Production -- 7.4.1 Power Dynamics -- 7.4.2 Short-Term Needs and Long-Term Thinking -- 7.4.3 Clear Expectations -- 7.4.4 Inclusivity and Retention -- 7.5 Moving Co-Production Forward -- References -- 8 Assessing Future Resilience, Equity, and Sustainability in Scenario Planning -- 8.1 An Instrument for Assessment -- 8.1.1 Defining Resilience, Equity, Sustainability -- 8.1.2 Qualitative Assessment-How It Works -- 8.2 Comparing Drought and Heat Scenarios -- 8.2.1 Identifying Key Components -- 8.2.2 Assessing Resilience-Building Mechanisms -- 8.2.3 Assessing Sustainability and Equity -- 8.3 Discussion and Conclusion -- References -- 9 Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities -- 9.1 Data-Driven Models of Urban Land Use and Climate Hazards -- 9.2 Land Surface Temperature Projections in Cities -- 9.2.1 Surface Temperature Projections at City Scales: New York City Case Study -- 9.3 Urban Flooding -- 9.4 Modeling Future Land Use/Cover Change Scenarios -- 9.4.1 Land Use/Cover Scenarios Modeling: San Juan, Puerto Rico Case Study. 9.4.2 San Juan Simulation Results -- 9.5 Conclusion -- References -- 10 Visualizing Urban Social-Ecological-Technological Systems -- 10.1 The USL Dataviz Platform -- 10.2 Representation of Space -- 10.3 Visualization Concepts -- 10.4 Application Stack -- 10.5 Conclusion -- References -- 11 Anticipatory Resilience Bringing Back the Future into Urban Planning and Knowledge Systems -- 11.1 Introduction -- 11.2 The Challenge of Deep Climate Uncertainty -- 11.3 Limits of Risk-Based Knowledge Systems -- 11.4 Toward More Anticipatory Resilience -- 11.4.1 Portfolio of Future-Based Knowledge Systems -- 11.5 Examples of Knowledge Systems Interventions to Build Anticipatory Resilience -- 11.6 Conclusion -- References -- 12 A Vision for Resilient Urban Futures -- 12.1 Bringing Positive Futures into Research and Practice -- 12.2 Thinking in Systems -- 12.3 Future-Making as Privilege -- 12.4 Developing an Urban Systems Science and Urban Systems Practice -- 12.5 Positive Visioning for Resilience and Transformation -- References -- Correction to: Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities -- Correction to: Chapter 9 in: Z. A. Hamstead et al. (eds.), Resilient Urban Futures, The Urban Book Series, https://doi.org/10.1007/978-3-030-63131-49 -- Index. |
| Record Nr. | UNINA-9910473454303321 |
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Hamstead Zoé A
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart and Sustainable Planning for Cities and Regions : Results of SSPCR 2019—Open Access Contributions / / edited by Adriano Bisello, Daniele Vettorato, David Ludlow, Claudia Baranzelli
| Smart and Sustainable Planning for Cities and Regions : Results of SSPCR 2019—Open Access Contributions / / edited by Adriano Bisello, Daniele Vettorato, David Ludlow, Claudia Baranzelli |
| Autore | Bisello Adriano |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XVII, 307 p. 75 illus., 57 illus. in color.) |
| Disciplina | 307.76 |
| Collana | Green Energy and Technology |
| Soggetto topico |
Urban geography
Environmental policy Sociology Regional economics Space in economics Urban Geography / Urbanism (inc. megacities, cities, towns) Environmental Policy Sociology, general Regional/Spatial Science |
| Soggetto non controllato |
Urban Geography / Urbanism (inc. megacities, cities, towns)
Environmental Policy Sociology, general Regional/Spatial Science Urban Geography and Urbanism Environmental Social Sciences Regional and Spatial Economics environmental protection urban planning regional planning urban big data smart cities mobility urban ecosystem services climate change SSPCR Open Access Urban & municipal planning Central / national / federal government policies Sociology Political economy Regional studies |
| ISBN | 3-030-57764-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Energy System Models for City Climate Mitigation Plans—Challenges and Recommendations -- Deep Energy Retrofit of Residential Buildings in the Mediterranean Area: the MedZEB Approach -- A Systematic Study of Sustainable Development Goal (SDG) Interactions in the Main Spanish Cities -- City Assessment Tool to Measure the Impact of Public Policies on Smart and Sustainable Cities. The Case Study of the Municipality of Alcobendas (Spain) Compared with Similar European Cities -- Public Research and Development Funding for Photovoltaics in Europe—Past, Present, and Future -- Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock -- A Possible Circular Approach for Social Perception of Climate Adaptation Action Planning in Metropolitan Cities -- A Spatial Multi-Criteria Decision Support System for Stress Recovery-Oriented Forest Management -- Diagnosis of the State of the Territory in Flanders Reporting about New Maps and Indicators Differentiating between Urban and Rural Areas within Flanders -- Co-creation Pathway for Urban Nature-based Solutions: Testing a Shared-Governance Approach in Three Cities and Nine Action Labs. . |
| Record Nr. | UNINA-9910473458803321 |
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Bisello Adriano
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Society 5.0 : A People-centric Super-smart Society
| Society 5.0 : A People-centric Super-smart Society |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XX, 177 p. 49 illus., 9 illus. in color.) |
| Disciplina | 306 |
| Soggetto topico |
Quality of life
Environmental policy Sociology Geography Engineering—Data processing Information technology Business—Data processing Quality of Life Research Environmental Policy Sociology, general Geography, general Data Engineering IT in Business |
| Soggetto non controllato |
Quality of Life Research
Environmental Policy Sociology, general Geography, general Data Engineering IT in Business Environmental Social Sciences Geography Urban Geography and Urbanism Data Driven Society Innovation The Fourth Industrial Revolution Internet of Things IoT Industry 4.0 Open Access Social & ethical issues Central / national / federal government policies Sociology Databases Technology: general issues Business mathematics & systems Business applications |
| ISBN | 981-15-2989-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. What is Society 5.0? -- Chapter 2. Habitat Innovation -- Chapter 3. From Smart City to Society 5.0 -- Chapter 4. Integrating Urban Data with Urban Services -- Chapter 5. Solving Social Issues through Industry-Academia Collaboration -- Chapter 6. From Monetary to Non-monetary Society -- Chapter 7. Interview - Creating Knowledge Collaboratively to Forge a Richer Society Tomorrow: An Innovation Ecosystem to Spearhead Social Transformation -- Chapter 8. Issues and Outlook. |
| Record Nr. | UNINA-9910401936703321 |
| Singapore, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Urban Informatics
| Urban Informatics |
| Autore | Shi Wenzhong |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (928 pages) |
| Disciplina | 307.76 |
| Altri autori (Persone) |
GoodchildMichael F
BattyMichael KwanMei-Po ZhangAnshu |
| Collana | The Urban Book |
| Soggetto topico |
Human geography
Computer networking & communications Information technology: general issues Geography |
| Soggetto non controllato |
Human Geography
Information Systems and Communication Service Computer Applications Geography, general Urban Geography and Urbanism Database Management System Geographical Information System Urban informatics Urban science GIS Urban computing Sensing Big data Smart cities Spatial data infrastructure Big data analytics Data-driven geography Open access Computer networking & communications Information technology: general issues Geography |
| ISBN | 981-15-8983-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Acknowledgements -- Contents -- About the Editors -- 1 Overall Introduction -- 1.1 Defining Urban Informatics -- 1.2 The Background: The Origins of Urban Informatics -- 1.3 Structure of the Book -- 1.4 Retrospective and Prospective -- References -- Part IDimensions of Urban Science -- 2 Introduction to Urban Science -- 3 Defining Urban Science -- 3.1 A Science of Cities -- 3.2 City Systems and Systems of Cities -- 3.3 Urban Growth: Urbanization from the Bottom Up -- 3.4 Scale and Size, Networks, and Flows -- 3.5 The Development of Operational Urban Models -- 3.6 Future Directions in Urban Informatics -- References -- 4 Street View Imaging for Automated Assessments of Urban Infrastructure and Services -- 4.1 Introduction -- 4.2 Data Collection and Object Localization -- 4.3 Deriving Urban Functions from Object Statistics -- 4.4 Discussion -- References -- 5 Urban Human Dynamics -- 5.1 Introduction -- 5.2 Urban Dynamics -- 5.2.1 Cellular Automata for Urban Dynamics Research -- 5.2.2 Other Urban Dynamics Approaches -- 5.3 Human Dynamics -- 5.3.1 Effects of Information and Communications Technologies on Human Dynamics -- 5.3.2 Time Geography -- 5.3.3 Big Data and Space-Time GIS for Human Dynamics Research -- 5.3.4 Some Other Examples Human Dynamics Studies -- 5.4 Urban Human Dynamics and Urban Informatics -- References -- 6 Geosmartness for Personalized and Sustainable Future Urban Mobility -- 6.1 Introduction -- 6.2 Geosmartness -- 6.3 Analyzing Urban-Mobility Patterns -- 6.3.1 Data -- 6.3.2 Computational Methods for Large-Scale Spatio-temporal Mobility-Pattern Analysis -- 6.3.3 Studies -- 6.3.4 SBB Green Class (Multi-modal and Energy-Efficient Mobility) -- 6.4 Behavioral Change and Sustainable Mobility -- 6.4.1 Motivation -- 6.4.2 Detecting and Supporting Behavioral Change -- 6.4.3 Studies -- 6.4.4 GoEco! -- 6.5 Mobile Decision Making.
6.5.1 Mobile Eye-Tracking and Gaze-Based Interaction -- 6.5.2 Personalized Gaze-Based Decision Support -- 6.6 Conclusions and Future Work -- References -- 7 Urban Metabolism -- 7.1 Introduction -- 7.2 History of Urban Metabolism -- 7.3 Methods of Urban Metabolism -- 7.3.1 Bottom-Up Methods -- 7.3.2 Top-Down Methods -- 7.3.3 Hybrid Methods -- 7.4 A Case Study: The Metabolism of Singapore -- 7.5 Urban Metabolism Applications, Challenges, and Opportunities -- 7.6 Conclusions -- References -- 8 Spatial Economics, Urban Informatics, and Transport Accessibility -- 8.1 Introduction -- 8.2 Intellectual Context -- 8.3 Econometric Models -- 8.3.1 Isotropic Versus Hierarchical Market Linkages for Economic Mass (EM) Computation -- 8.3.2 Control Variables -- 8.3.3 Representing Spatial Spillover Effects -- 8.4 Data -- 8.5 Model Test Results -- 8.6 Discussions -- 8.7 Conclusions -- References -- 9 Conceptualizing the City of the Information Age -- 9.1 Introduction -- 9.1.1 Urban Complexity in the Age of Information and Communication Technologies -- 9.1.2 A Different Kind of City -- 9.1.3 The Smart City -- 9.1.4 Urban Informatics -- 9.2 Urban Research and Planning, Yesterday, and Tomorrow -- 9.2.1 The City as Place -- 9.2.2 The City as Node on a Network -- 9.2.3 Planning the City -- 9.3 Speculations -- 9.3.1 The Robotic Era? -- 9.3.2 The City's Epistemic Planes -- 9.4 Conclusion -- References -- Part IIUrban Systems and Applications -- 10 Introduction to Urban Systems and Applications -- 11 Characterizing Urban Mobility Patterns: A Case Study of Mexico City -- 11.1 Introduction -- 11.2 Data Collection of POIs -- 11.2.1 Parsing Algorithm -- 11.3 Spatial Distribution of POIs -- 11.3.1 Extended Radiation Model for Human Mobility -- 11.3.2 Results -- 11.4 Analyzing Human Mobility by Mode of Transportation -- 11.4.1 Detected Mobility Groups -- 11.5 Conclusions. References -- 12 Laboratories for Research on Freight Systems and Planning -- 12.1 Introduction -- 12.2 Future Mobility Sensing, a Behavioral Laboratory -- 12.2.1 Background -- 12.2.2 FMS Architecture -- 12.2.3 Applications -- 12.3 SimMobility, a Simulation Laboratory -- 12.3.1 Background -- 12.3.2 SimMobility Architecture -- 12.3.3 Applications -- 12.4 Demonstrations -- 12.4.1 Freight-Vehicle Route-Choice Model -- 12.4.2 Quantification of Model Performance -- 12.4.3 Replication of Specific Freight and Non-Freight-Vehicle Tours -- 12.5 Concluding Remarks -- References -- 13 Urban Risks and Resilience -- 13.1 Introduction -- 13.2 Risks, Exposure, and Vulnerability -- 13.3 Urban Resilience and Capacities -- 13.3.1 The Definitional Quagmire -- 13.3.2 Objects of Analysis -- 13.4 Measurement and Assessment Informatics -- 13.5 Science Informs Practice and Practice Informs Science -- 13.6 Moving Forward -- References -- 14 Urban Crime and Security -- 14.1 Introduction -- 14.2 Urban Crime -- 14.2.1 Historical Roots in Understanding Urban Crime: An Environmental Perspective -- 14.2.2 Theoretical Concepts in Environmental Criminology -- 14.3 Urban Security -- 14.3.1 Fear of Crime in Urban Areas -- 14.3.2 Implementation of Crime Prevention -- 14.4 Latest Tools in Urban Crime Analysis and Security -- 14.4.1 Crime Hotspot Mapping: From Retrospective Analysis to Prediction -- 14.4.2 Advanced Police Patrolling Strategies -- 14.5 Intelligent Data-Driven Policing -- 14.6 Summary -- References -- 15 Urban Governance -- 15.1 Transparency and City Open Data -- 15.1.1 Open Data Platforms -- 15.1.2 Open Data and Accountability -- 15.1.3 Why Are Goals Important? -- 15.1.4 Dashboards and Performance Indicators -- 15.2 Algorithmic Decision-Making -- 15.2.1 Positioning Algorithms -- 15.2.2 Challenges for Operationalizing Algorithms -- 15.3 Conclusion -- References. 16 Urban Pollution -- 16.1 Monitoring Air Quality in Urban Areas -- 16.2 Remote Sensing of the Urban Heat Island -- 16.2.1 Spatial Resolution of Satellite Sensors Related to Scales of Urban Climate -- 16.2.2 Relationship Between Surface Temperature and Air Temperature -- 16.2.3 Time of Imaging in Relation to Heat Island Maximum -- 16.2.4 Anisotropy of the Satellite View -- 16.2.5 The Need for Emissivity and Atmospheric Correction -- 16.3 Monitoring Water Quality Along Urban Coastlines -- References -- 17 Urban Health and Wellbeing -- 17.1 Smart Cities and Health -- 17.2 Data -- 17.2.1 Big Data -- 17.2.2 Individual and Population Data -- 17.2.3 Environmental Data -- 17.3 Methods and Techniques -- 17.4 BERTHA Studies -- 17.4.1 AirGIS -- 17.4.2 Personalized Tracking and Sensing -- 17.4.3 Personalized Air-Pollution Sensors -- 17.4.4 Mental Health -- 17.4.5 Physical Activity -- 17.4.6 Danish Blood-Donor Study -- 17.5 Privacy -- 17.6 Conclusions -- References -- 18 Urban Energy Systems: Research at Oak Ridge National Laboratory -- 18.1 Introduction -- 18.2 Population and Land Use -- 18.2.1 Big Data and GeoAI to Create Population and Land-Use Data -- 18.2.2 Estimating Urban Electricity Use in Data-Poor Regions -- 18.2.3 Estimating Household-Level Energy Consumption -- 18.3 Sustainable Mobility -- 18.3.1 Human Interactions with Transportation Systems -- 18.3.2 Emerging Options for Freight Delivery for Businesses -- 18.4 Energy-Water Nexus -- 18.5 Urban Resiliency -- 18.5.1 Renewable Energy-Infrastructure Assessment -- 18.5.2 Optimizing Energy and Safety Through Precision De-icing -- 18.6 Situational Awareness of National Energy Infrastructure -- 18.7 Conclusion -- References -- Part IIIUrban Sensing -- 19 Introduction to Urban Sensing -- 20 Optical Remote Sensing -- 20.1 Introduction -- 20.2 History of Optical Remote Sensing. 20.3 Latest Developments in Optical Remote Sensing -- 20.3.1 Introduction to Representative Optical Satellite Sensors -- 20.4 Processing of Remote Sensing Satellite Images -- 20.4.1 Image Pre-processing -- 20.4.2 Image Processing -- 20.4.3 Image Post-Processing -- 20.5 Applications of Optical Remote Sensing -- 20.5.1 Land-Use and Land-Cover Mapping -- 20.5.2 Urban Vegetation Phenology -- 20.5.3 Urban Heat Island Mapping -- 20.5.4 Rock Outcrops Identification -- 20.6 Summary -- References -- 21 Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar -- 21.1 Synthetic Aperture Radar -- 21.2 Interferometric Synthetic Aperture Radar -- 21.3 Multi-temporal InSAR (MTInSAR) -- 21.4 Applications in Urban Areas -- 21.4.1 Construction of Fine Resolution DEM -- 21.4.2 Subsidence Measurement -- 21.4.3 Monitoring Stability of Infrastructures -- 21.5 Summary -- References -- 22 Airborne LiDAR for Detection and Characterization of Urban Objects and Traffic Dynamics -- 22.1 Introduction -- 22.2 Detection of Urban Objects with ALS and Co-registered Imagery -- 22.2.1 General Strategy -- 22.2.2 Feature Derivation -- 22.2.3 AdaBoost Classification -- 22.3 Detection of Urban Traffic Dynamics with ALS Data -- 22.3.1 Artifacts Effect of Vehicle Motion in ALS Data -- 22.3.2 Detection of Moving Vehicles -- 22.3.3 Concept for Vehicle Velocity Estimation with ALS Data -- 22.4 Experiments and Results -- 22.4.1 Detection of Urban Objects with ALS Data Associated with Aerial Imagery -- 22.4.2 Accuracy Prediction for Vehicle Velocity Estimation Using ALS Aata -- 22.5 Summary -- References -- 23 Photogrammetry for 3D Mapping in Urban Areas -- 23.1 Introduction -- 23.2 Fundamentals of Photogrammetry -- 23.2.1 Image Orientation -- 23.2.2 Bundle Adjustment -- 23.2.3 Image Matching -- 23.3 Advances in Photogrammetry for 3D Mapping in Urban Areas. 23.3.1 Structure from Motion and Multi-view Stereo. |
| Record Nr. | UNINA-9910473454103321 |
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Shi Wenzhong
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Urban Socio-Economic Segregation and Income Inequality : A Global Perspective
| Urban Socio-Economic Segregation and Income Inequality : A Global Perspective |
| Autore | van Ham Maarten |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (518 pages) |
| Altri autori (Persone) |
TammaruTiit
UbarevičienėRūta JanssenHeleen |
| Collana | The Urban Book |
| Soggetto topico |
Urban & municipal planning
Social issues & processes Economic geography Sociology: work & labour Human geography Population & demography |
| Soggetto non controllato |
Urban Geography / Urbanism (inc. megacities, cities, towns)
Social Structure, Social Inequality Economic Geography Organizational Studies, Economic Sociology Human Geography Demography Urban Geography and Urbanism Social Structure Economic Sociology Population and Demography Socio-Economic Segregation Residential Segregation Dissimiliarity Index Income Inequality Occupational Categories Socio-Economic Groups GINI-index Large Cities / Metropoles Neighbourhood Change Open Access Book Urban & municipal planning Social & ethical issues Sociology: work & labour Population & demography |
| ISBN | 3-030-64569-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Part I Introduction -- 1 Rising Inequalities and a Changing Social Geography of Cities. An Introduction to the Global Segregation Book -- 1.1 Introduction -- 1.2 Approach and Justification -- 1.3 Income Inequality and Segregation -- 1.4 Main Results in Five Conclusions -- 1.5 A Global Segregation Thesis -- Appendix 1: Guidelines for Authors, Data, and Methods -- Appendix 2: Summary Table of Data Used for Each Case Study City -- Appendix 3: Occupational Structure of Comparable Case Study Cities (Source Individual Chapters in This Book) -- Appendix 4: Dissimilarity Indices Between Top and Bottom Socio-economic Status Groups, in All Years Provided by the Authors (Source Individual Chapters in This Book) -- References -- 2 Residential Segregation Between Income Groups in International Perspective -- 2.1 Introduction -- 2.2 Challenges of Comparing Segregation Across Borders -- 2.3 Method and Data -- 2.4 Results -- 2.5 Discussion and Conclusion -- References -- Part II Africa -- 3 Income Inequality, Socio-Economic Status, and Residential Segregation in Greater Cairo: 1986-2006 -- 3.1 Introduction -- 3.2 The Social Geography of GCR -- 3.3 GCR as a Case in Point -- 3.4 Factors Influencing Residential Segregation in GCR -- 3.4.1 Income Inequality -- 3.4.2 Welfare Regime Politics -- 3.4.3 Centralized Urban Governance -- 3.4.4 Settlement Types: Formal and Informal -- 3.4.5 Housing Policies -- 3.5 Landscape of Residential Segregation in GCR, 1986-2006 -- 3.6 Spatial Distribution of Occupational Groups -- 3.7 Neighborhoods' Leading Specializations -- 3.8 Patterns of Socio-Economic Intermixing -- 3.9 Conclusions -- References -- 4 Social Inequality and Spatial Segregation in Cape Town -- 4.1 Introduction -- 4.2 Determinants of Residential Patterns -- 4.2.1 Racial Segregation: 1950s-1980s.
4.2.2 Market-Led Development: 1990s-2020 -- 4.2.3 State-Led Housing: 1990s-2020 -- 4.3 Inequality in the Labour Market -- 4.3.1 Data and Methods -- 4.3.2 Occupational Structure -- 4.3.3 Index of Dissimilarity -- 4.4 Socio-economic Segregation -- 4.4.1 Occupational Location Quotients -- 4.4.2 Socio-economic Status -- 4.4.3 Distribution of the Top Socio-economic Group -- 4.5 Conclusion -- References -- 5 Income Inequality and Socio-economic Segregation in the City of Johannesburg -- 5.1 Introduction -- 5.2 Drivers of Dominant Residential Patterns -- 5.2.1 Racial Segregation -- 5.2.2 Housing -- 5.2.3 Suburbs -- 5.3 Inequality in Johannesburg -- 5.3.1 Data Sources -- 5.3.2 Changes in Occupational Structure -- 5.3.3 Income Inequality -- 5.4 Socio-economic Segregation in Johannesburg -- 5.4.1 Dissimilarity Index -- 5.4.2 Location Quotient -- 5.4.3 Classification of Neighbourhoods by Socio-economic Composition -- 5.4.4 Location of Top Socio-economic Status Groups in 2001 and 2011 -- 5.5 Conclusion -- References -- Part III Asia -- 6 Dual Land Regime, Income Inequalities and Multifaceted Socio-Economic and Spatial Segregation in Hong Kong -- 6.1 Introduction -- 6.2 Context -- 6.2.1 Dual Land Regime -- 6.2.2 Housing System -- 6.2.3 Welfare System and Inequality -- 6.3 Census Data and Spatial Units -- 6.4 Spatial Patterns of Occupational and Income Disparities -- 6.4.1 Changing Occupational Structure and Growing Income Disparity -- 6.4.2 Socio-Economic Segregation -- 6.4.3 Residential Locations of Top and Bottom SES Workforce -- 6.4.4 Socio-Economic Composition of Neighbourhoods -- 6.5 Underlying Causes for Socio-Spatial Segregation -- 6.6 Conclusion -- References -- 7 Income Inequality and Socioeconomic Segregation in Jakarta -- 7.1 Introduction -- 7.2 Jakarta: The Core, Inner Peripheries and Outer Peripheries -- 7.3 Rapid Urbanization and Income Inequality. 7.4 Changes in Occupational Structures -- 7.5 Levels of Residential Segregation Between Socioeconomic Groups -- 7.6 Geography of Residential Segregation Between Socioeconomic Groups -- 7.7 Conclusion -- References -- 8 Socio-spatial Segregation and Exclusion in Mumbai -- 8.1 Introduction -- 8.2 Data and Methods -- 8.3 Real Estate and Increase of Slums in the City -- 8.4 Inter-religious Conflicts and the Segregation of Muslims -- 8.5 Segregation of Scheduled Castes and Scheduled Tribes -- 8.6 Conclusions -- References -- 9 Social Polarization and Socioeconomic Segregation in Shanghai, China: Evidence from 2000 and 2010 Censuses -- 9.1 Introduction -- 9.2 Residential Segregation in Large Cities in China -- 9.3 Data and Methods -- 9.3.1 Data -- 9.3.2 Methods -- 9.4 Results -- 9.4.1 Level of Segregation in Shanghai -- 9.4.2 Spatial Pattern of Occupation-Based Segregation in Shanghai -- 9.4.3 Spatial Pattern of Hukou-Based Segregation in Shanghai -- 9.5 Drivers of Changing Patterns of Residential Segregation in Shanghai -- 9.6 Conclusion and Discussion -- References -- 10 Increasing Inequality and the Changing Spatial Distribution of Income in Tel-Aviv -- 10.1 Introduction -- 10.2 Increasing Income Inequality in Israel and Socio-spatial Implications -- 10.3 Inequality Among Socio-demographic Groups in Israel -- 10.4 The Tel-Aviv MA: Development and Transition -- 10.5 Data and Methods -- 10.6 The Segregation Between Income Classes in the Tel-Aviv MA -- 10.7 Changing Spatial Distributions of Top and Bottom Income Quintiles in the Tel-Aviv MA -- 10.8 Changing Socioeconomic Compositions in Tel-Aviv Neighbourhoods -- 10.9 Conclusions -- References -- 11 Changes in Occupational Structure and Residential Segregation in Tokyo -- 11.1 Introduction -- 11.2 Context -- 11.2.1 Income Inequality -- 11.2.2 Welfare System -- 11.2.3 Housing System -- 11.2.4 Urban Policy. 11.3 Data and Methods -- 11.4 Occupational Structure -- 11.5 Residential Segregation -- 11.6 Spatial Distribution of Occupational Groups -- 11.6.1 Concentration of the Top Occupational Groups -- 11.6.2 Location Quotient for the Top and Bottom Occupational Groups -- 11.6.3 Classification of Neighborhoods by Socio-economic Composition -- 11.7 Discussion and Conclusions -- References -- Part IV Australia -- 12 The Land of the 'Fair Go'? Mapping Income Inequality and Socioeconomic Segregation Across Melbourne Neighbourhoods -- 12.1 Introduction -- 12.2 Welfare in Australia -- 12.3 Income Inequality in Australia -- 12.4 The Australian Housing System -- 12.5 Greater Melbourne -- 12.6 Neighbourhoods in the Australian Context -- 12.7 Change in Occupational Structure in Melbourne -- 12.8 Socioeconomic Segregation in Melbourne -- 12.8.1 Dissimilarity Index -- 12.8.2 Location Quotients (LQs) -- 12.8.3 Local Moran's I (LM-I) -- 12.8.4 Classification of Neighbourhoods by Socioeconomic Composition -- 12.8.5 Location of the Top Socioprofessional Group -- 12.9 Socioeconomic Segregation and Ethnic Segregation Patterns -- 12.10 Conclusions -- References -- Part V Europe -- 13 Making Sense of Segregation in a Well-Connected City: The Case of Berlin -- 13.1 Introduction -- 13.2 From Divided to Gentrified City -- 13.3 Methods -- 13.4 Socioeconomic Segregation -- 13.5 Segregation by Foreigner/Migration Background -- 13.6 How Does Segregation Matter? -- 13.7 Conclusion -- References -- 14 Socio-spatial Disparities in Brussels and its Hinterland -- 14.1 Introduction -- 14.2 Background -- 14.3 Space, Data and Methods -- 14.3.1 Space Delimitation and Spatial Units -- 14.3.2 Data and Definitions -- 14.3.3 Methods -- 14.4 Findings -- 14.4.1 Location Quotients -- 14.4.2 Income Classification of Neighbourhoods -- 14.4.3 Location of High-Income Earners. 14.4.4 Dissimilarity Indices -- 14.4.5 The Local Spots of Change -- 14.5 Discussion -- References -- 15 Residential Segregation in a Highly Unequal Society: Istanbul in the 2000s -- 15.1 Introduction -- 15.2 Background: Frantic years of 2000s -- 15.3 Studying Segregation in Istanbul -- 15.4 Data and Method -- 15.5 Results -- 15.5.1 Classification and Mapping of Neighbourhoods -- 15.5.2 From 2000 to 2017: Exodus of the Poor -- 15.6 Concluding Remarks -- References -- 16 Segregation in London: A City of Choices or Structures? -- 16.1 Introduction -- 16.1.1 Ethnicity -- 16.1.2 Economic -- 16.1.3 Housing -- 16.1.4 Chapter Outline -- 16.2 Inequality and Occupational Segregation -- 16.3 Location Quotient Maps -- 16.4 Maps of Typologies -- 16.4.1 Location of the Top Occupational Group -- 16.5 Contrasting Dimensions of Segregation -- 16.6 Conclusions -- References -- 17 Income Inequality and Segregation in the Paris Metro Area (1990-2015) -- 17.1 Introduction -- 17.2 Background -- 17.2.1 The Role of Immigrant Residential Segregation -- 17.2.2 The Role of Urban Policy and Public Housing -- 17.2.3 The Role of Rising Income Inequality -- 17.3 Data and Methods -- 17.4 Results -- 17.4.1 Changes in Occupational Structure and Inequality -- 17.4.2 Residential Patterns of Occupational Groups in the Paris Metro Area -- 17.4.3 Occupational and Immigrant Segregation -- 17.5 Conclusion -- References -- Part VI North America -- 18 Growing Income Inequality and Socioeconomic Segregation in the Chicago Region -- 18.1 Introduction -- 18.2 The Chicago Region -- 18.2.1 The Economy -- 18.2.2 The Welfare System -- 18.2.3 Demographics -- 18.2.4 The Housing System -- 18.3 Analysis and Results -- 18.3.1 Income Inequality -- 18.3.2 Occupational Structure -- 18.3.3 Dissimilarity Index -- 18.3.4 Location of Top Occupational Groups -- 18.3.5 Location Quotients (LQs). 18.3.6 Residential Segregation Based on Socioeconomic Status. |
| Record Nr. | UNINA-9910473455403321 |
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van Ham Maarten
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Urbanization, biodiversity and ecosystem services : challenges and opportunities : a global assessment / / edited by Thomas Elmqvist, Michail Fragkias, Julie Goodness, Burak Güneralp, Peter J. Marcotullio, Robert I. McDonald, Susan Parnell, Maria Schewenius, Marte Sendstad, Karen C. Seto, Cathy Wilkinson
| Urbanization, biodiversity and ecosystem services : challenges and opportunities : a global assessment / / edited by Thomas Elmqvist, Michail Fragkias, Julie Goodness, Burak Güneralp, Peter J. Marcotullio, Robert I. McDonald, Susan Parnell, Maria Schewenius, Marte Sendstad, Karen C. Seto, Cathy Wilkinson |
| Autore | Elmqvist Thomas |
| Edizione | [First edition, 2013.] |
| Pubbl/distr/stampa | Springer Nature, 2013 |
| Descrizione fisica | 1 online resource (xxviii, 755 pages) : colour illustrations; digital, PDF file(s) |
| Disciplina | 577.56 |
| Soggetto topico |
Urban ecology (Biology)
Urban planning City planning Sustainable development System theory International environmental law |
| Soggetto non controllato |
Urban Ecology
Urbanism Sustainable Development Complex Systems Science, Humanities and Social Sciences, multidisciplinary International Environmental Law Urban Geography and Urbanism Environmental Social Sciences Humanities and Social Sciences Biodiversity Challenges Ecosystem services Opportunities Urbanization Ecological science, the Biosphere Urban & municipal planning Sustainability Applied mathematics Interdisciplinary studies Public international law: environment |
| ISBN | 94-007-7088-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. A global outlook on urbanization -- 2. History of urbanization and the missing ecology -- 3. Urbanization and global trends in biodiversity and ecosystem services -- 4. Regional assessment of Asia.- 5. Sub-regional assessment of China: Urbanization in biodiversity hotspots -- 6. Sub-regional assessment of India -- 7. Local assessment of Bangalore.- 8. Local assessment of Tokyo -- 9. Local assessment of Shanghai -- 10. Patterns and trends in urban biodiversity and landscape design -- 11. Urban ecosystem services.- 12. Shrinking cities, biodiversity and ecosystem services -- 13. Regional assessments of Europe -- 14. Regional assessment of North America -- 15. Regional assessment of Oceania -- 16. Local assessment of Istanbul: Biodiversity and ecosystem services -- 17. Local assessment of Stockholm -- 18. Local assessment of Chicago -- 19. Local assessment of New York City.-20. Local assessment of Melbourne -- 21. A synthesis of global urbanization projections -- 22. Urbanization forecasts, effects on land use, biodiversity, and ecosystem services -- 23. Regional assessment of Africa -- 24. Local assessment of Cape Town.- 25. Climate change and urban biodiversity vulnerability -- 26. Feeding cities -- 27. Urban governance of biodiversity and ecosystem services -- 28. Regional assessment of Latin America -- 29. Local assessment of Rio de Janeiro.- 30. Urban landscapes as learning arenas for biodiversity and ecosystem services management -- 31. Restoration ecology in an urbanizing world -- 32. Indicators for management of urban biodiversity and ecosystem services -- 33. Stewardship of the Biosphere in the Urban Era. |
| Record Nr. | UNINA-9910132055903321 |
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Elmqvist Thomas
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| Springer Nature, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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