Table of Contents: Urban Informatics.

Urban Informatics.

Bibliographic Details
Main Author:	Shi, Wenzhong.
Other Authors:	Goodchild, Michael F., Batty, Michael., Kwan, Mei-Po., Zhang, Anshu.
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore Pte. Limited, 2021.
Edition:	1st ed.
Series:	The Urban Book Series
Subjects:	Electronic books.
Online Access:	Click to View

Table of Contents:

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.

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