The New Science of Cities

By Michael Batty. 2013

1,567 citations recorded by the source corpus.

Subfields: Building and Construction, Transportation

View Paper: https://www.semanticscholar.org/paper/169e4b8f91d6894371701859eee12dcc40784687

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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Citations in the corpus

The TimeGeo modeling framework for urban mobility without travel surveys (2016, background): “O ability to correctly model urban daily activities for traffic control, energy consumption, and urban planning (1, 2) has critical impacts on people’s quality of life and the everyday functioning of our cities.”
Quantifying the benefits of vehicle pooling with shareability networks (2013, background): “Proc IEEE Intelligent Transportation Systems 12(4):1000–1013.”
Digital turn, digital geographies? (2018, background): “13 tools and apps, such as urban dashboards, that reshape how cities are planned and how people navigate and interact with urban spaces (Batty, 2014; Offenhuber and Ratti, 2013).”
Revealing daily travel patterns and city structure with taxi trip data (2013, background): “Keywords: GPS-enabled taxi data, intra-urban human mobility, urban structure, land use condition, Shanghai”
The need for a complex systems model of evidence for public health. (2017, neutral): “Techniques from other disciplines that are more advanced in complex systems methodologies, such as economics, climate change, and urban science, also need to be adopted and adapted.(30,31)”
Origin-destination trips by purpose and time of day inferred from mobile phone data (2015, methodology): “It is considered a “solved problem”, as modern neural network based classifiers [2] have achieved > 95% accuracy on it.”
The ethics of smart cities and urban science (2016, background): “With respect to the former, the emphasis has been on the development of new data analytics that utilize machine learning techniques designed to process and analyse enormous datasets, such as data mining and pattern recognition, data visualization and visual analytics, statistical analysis, and predi”
The statistical physics of cities (2019, background): “fects include critical infrastructures, clustering of different types of areas (such as residential or business), social segregation, congestion and car traffic. 2 There remains a legitimate question [4, 5] of what a science of cities could be. This problem, recurrent in the study of complex systems”
Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2017, background): “, [8], [9], [10], [11]), and requires innovation to link the massive data with urban theory and thinking to derive new urban knowledge, called as urban computing or new urban science [7], [12], [13].”
Evidence for the homothetic scaling of urban forms (2018, background): “In particular, they are very high compared to most urban spatial scaling laws (see for instance Batty et al. (2011)).”
Ideas, implementation and indicators: epistemologies of the post-2015 urban agenda (2016, neutral): “Batty, M (2013), The New Science of Cities, MIt Press, Cambridge, USa.”
A Deep Gravity model for mobility flows generation (2020, background): “Over the region of interest, a set of geographical polygons called tessellation, T , is defined with the following properties: (1) the tessellation contains a finite number of polygons, li, called locations, T 1⁄4 fli : i 1⁄4 1; :::; ng; (2) the locations are nonoverlapping, li \ lj 1⁄4 ;; 8i≠ j; (3”
Urban Digital Twins for Smart Cities and Citizens: The Case Study of Herrenberg, Germany (2020, background): “…active shutter glasses [5] for the participants (photo credited to Dembski, 2019). tracking system [2], computer [3,4], a 3D-projector, and active shutter glasses [5] for the participants Citizen participation using the digital twin in VR proceeded well; at least that was our subjective opinion.”