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M. Gahegan, M. Wachowicz, Mark Harrower, T. Rhyne (2001)
The Integration of Geographic Visualization with Knowledge Discovery in Databases and GeocomputationCartography and Geographic Information Science, 28
Kates Robert, T. Parris, Anthony Leiserowitz (2005)
What is Sustainable Development? Goals, Indicators, Values, and PracticeEnvironment: Science and Policy for Sustainable Development, 47
Rob Kitchin (2013)
The real-time city? Big data and smart urbanismGeoJournal, 79
W. Steffen, Wendy Broadgate, L. Deutsch, O. Gaffney, C. Ludwig (2015)
The trajectory of the Anthropocene: The Great AccelerationThe Anthropocene Review, 2
Harvey Miller (2017)
Geographic information science IProgress in Human Geography, 41
H. Miller, M. Goodchild (2015)
Data-driven geographyGeoJournal, 80
A. Rapoport, Albert Chammah (1965)
Prisoner's Dilemma
Hannele Ahvenniemi, Aapo Huovila, Isabel Pinto-Seppä, M. Airaksinen (2017)
What are the differences between sustainable and smart citiesCities, 60
M. Conti, A. Passarella, Sajal Das (2017)
The Internet of People (IoP): A new wave in pervasive mobile computingArXiv, abs/2205.14156
Remi Tachet, P. Santi, Stanislav Sobolevsky, Luis Reyes-Castro, Emilio Frazzoli, D. Helbing, C. Ratti (2016)
Revisiting Street Intersections Using Slot-Based SystemsPLoS ONE, 11
J. Gong, Huayi Wu, Tong Zhang, Zhipeng Gui, Zhenlong Li, Lan You, Shengyu Shen, Jie Zheng, Jing Geng, Kunlun Qi, W. Yang, Zhenqiang Li, Jingmin Yu (2012)
Geospatial Service Web: towards integrated cyberinfrastructure for GIScienceGeo-spatial Information Science, 15
Suparna De, Yuchao Zhou, Iker Abad, K. Moessner (2017)
Cyber–Physical–Social Frameworks for Urban Big Data Systems: A SurveyApplied Sciences, 7
Yaqin Sun, Songnian Li (2016)
Real-time collaborative GIS: A technological reviewIsprs Journal of Photogrammetry and Remote Sensing, 115
M. Batty (2013)
The New Science of Cities
A. Bröring, J. Echterhoff, S. Jirka, I. Simonis, T. Everding, C. Stasch, S. Liang, R. Lemmens (2011)
New Generation Sensor Web EnablementSensors (Basel, Switzerland), 11
G. Hardin (1968)
Tragedy of the CommonsScience, 162
P. Jankowski, T. Nyerges, Alan Smith, T. Moore, E. Horvath (1997)
Spatial Group Choice: A SDSS Tool for Collaborative Spatial Decision-MakingInt. J. Geogr. Inf. Sci., 11
Blake Alcott (2005)
Jevons ’ paradox
G. Özsoyoglu, R. Snodgrass (1995)
Temporal and Real-Time Databases: A SurveyIEEE Trans. Knowl. Data Eng., 7
C. Cassandras (2016)
Smart Cities as Cyber-Physical Social SystemsEngineering, 2
H. Miller (2013)
Beyond sharing: cultivating cooperative transportation systems through geographic information scienceJournal of Transport Geography, 31
S. Funtowicz, J. Ravetz (1993)
Science for the Post-Normal AgeCommonplace
J. Kay, H. Regier, M. Boyle, G. Francis (1999)
An ecosystem approach for sustainability: addressing the challenge of complexityFutures, 31
M. Batty (2013)
Big data, smart cities and city planningDialogues in Human Geography, 3
M. Yuan (2008)
Temporal GIS and Applications
S. Openshaw (2010)
Building an Automated Modeling System to Explore a Universe of Spatial Interaction ModelsGeographical Analysis, 20
D. Vivanco, W. McDowall, Jaume Freire-González, R. Kemp, E. Voet (2016)
The foundations of the environmental rebound effect and its contribution towards a general frameworkEcological Economics, 125
Y. Harari, Andreas Wirthensohn (2017)
Homo Deus: Eine Geschichte von Morgen
H. Miller (2017)
Spatial Data Analytics
D. O'Sullivan (2005)
Geographical information science: time changes everythingProgress in Human Geography, 29
V. Smith (1998)
The Two Faces of Adam SmithSouthern Economic Journal, 65
M. Colloff, S. Lavorel, Lorrae Kerkhoff, C. Wyborn, I. Fazey, R. Gorddard, G. Mace, W. Foden, M. Dunlop, I. Prentice, J. Crowley, P. Leadley, Patrick Degeorges (2017)
Transforming conservation science and practice for a postnormal worldConservation Biology, 31
Rob Kitchin (2018)
The Realtimeness of Smart CitiesTecnoscienza : Italian Journal of Science & Technology Studies, 8
H. Miller (2018)
Geographic information science II: MesogeographyProgress in Human Geography, 42
The growing maturity and deployment of low-cost georeferenced sensors, navigation systems, fast wireless communication, cyberinfrastructure and the Internet of Things (IoT) is accelerating the speed of geographic data flowing from the environment and our capabilities for reacting quickly to geographic information, often automatically and in real-time. This is leading to the rise of real-time GIS and smart cities technologies. While reacting quickly to changing circumstances has value, there are potentials for unintended consequences and rebound effects resulting from our inability to build geographic knowledge quickly and the selective acceleration of societal processes. This report discusses why these unintended outcomes may occur, and suggests technical and scientific approaches for understanding and managing the potential impacts of fast geographic data.
Progress in Human Geography – SAGE
Published: Feb 1, 2020
Keywords: temporal GIS,Real-time GIS,Smart cities,Geosensors,Internet of Things,Rebound effects
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