AIMC Topic: City Planning

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Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning.

PloS one Feb 3, 2021
With all the recent attention focused on big data, it is easy to overlook that basic vital statistics remain difficult to obtain in most of the world. What makes this frustrating is that private companies hold potentially useful data, but it is not a...
City Planning Motorcycles Humans Machine Learning Social Media Accidents, Traffic Kenya
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Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial.

Accident; analysis and prevention Jan 23, 2021
Traffic congestion is monotonically increasing, especially in large cities, due to rapid urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic safety, but also imposes costs to the road users. The concerns asso...
Humans Environment Design Automobiles Robotics Automobile Driving Accidents, Traffic City Planning Safety
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Learning from urban form to predict building heights.

PloS one Dec 9, 2020
Understanding cities as complex systems, sustainable urban planning depends on reliable high-resolution data, for example of the building stock to upscale region-wide retrofit policies. For some cities and regions, these data exist in detailed 3D mod...
Machine Learning Europe Sustainable Development City Planning Forecasting Cities
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Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth.

PloS one Jul 2, 2020
Understanding which transportation modes people use is critical for smart cities and planners to better serve their citizens. We show that using information from pervasive Wi-Fi access points and Bluetooth devices can enhance GPS and geographic infor...
Motor Vehicles City Planning Railroads Humans Geographic Information Systems Accelerometry Smartphone Urban Population Wireless Technology Denmark Transportation Walking Supervised Machine Learning Automobile Driving
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Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery.

PloS one May 7, 2020
To analyze types and patterns of greening trends across a city, this study seeks to identify a method of creating very high-resolution urban vegetation maps that scales over space and time. Vegetation poses unique challenges for image segmentation be...
Models, Statistical Parks, Recreational Poaceae Cities Cluster Analysis Normal Distribution City Planning Water Resources Trees Data Accuracy Philadelphia Humans Neural Networks, Computer Soil
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Spatiotemporal dynamics of urbanization and cropland in the Nile Delta of Egypt using machine learning and satellite big data: implications for sustainable development.

Environmental monitoring and assessment Nov 23, 2019
The Nile Delta of Egypt is increasingly facing sustainability threats, due to a combination of nature- and human-induced changes in land cover and land use. In this paper, an analysis of big time series data from remotely sensed satellite images and ...
Sustainable Development Conservation of Natural Resources Satellite Imagery City Planning Urbanization Agriculture Environmental Monitoring Egypt Humans Machine Learning
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Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning.

PloS one May 30, 2019
Many studies have explored the relationship between housing prices and environmental characteristics using the hedonic price model (HPM). However, few studies have deeply examined the impact of scene perception near residential units on housing price...
Beijing China Housing Cities City Planning Humans Commerce Deep Learning
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Land surface temperature estimating in urbanized landscapes using artificial neural networks.

Environmental monitoring and assessment Mar 26, 2018
Scenario-based land surface temperature (LST) modeling is a powerful tool for adopting proper urban land use planning policies. In this study, using greater Isfahan as a case study, the artificial neural network (ANN) algorithm was utilized to explor...
Urbanization Environmental Monitoring City Planning Neural Networks, Computer Temperature
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Planning the City Logistics Terminal Location by Applying the Green p-Median Model and Type-2 Neurofuzzy Network.

Computational intelligence and neuroscience Apr 19, 2016
The paper herein presents green p-median problem (GMP) which uses the adaptive type-2 neural network for the processing of environmental and sociological parameters including costs of logistics operators and demonstrates the influence of these parame...
Air Pollution Cities Humans Organization and Administration Vehicle Emissions Neural Networks, Computer Models, Theoretical City Planning Environmental Monitoring
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InclusiViz : Visual Analytics of Human Mobility Data for Understanding and Mitigating Urban Segregation.

IEEE transactions on visualization and computer graphics Jun 1, 2025
Urban segregation refers to the physical and social division of people, often driving inequalities within cities and exacerbating socioeconomic and racial tensions. While most studies focus on residential spaces, they often neglect segregation across...
Humans Computer Graphics City Planning Deep Learning Social Segregation Cities Urban Population
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