Deep Learning the City
Quantifying Urban Perception at a Global Scale
Bibliographic Data
| ID | 23323835 |
|---|---|
| Authors | Abhimanyu Dubey (Indian Institute of Technology Delhi), Nikhil Naik (0000-0002-5191-2726, Human Media, corresponding author), Devi Parikh (Virginia Tech), Ramesh Raskar (0000-0002-3254-3224, Human Media), César A Hidalgo (0000-0002-6031-5982, Human Media) |
| Year | 2016 |
| Pages | 196-212 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Lecture Notes in Computer Science (SOURCE_BOOK) |
| Publisher | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-319-46448-0_12 |
| OpenAlex | W2478090196 |
| ISBN | 9783319464480 |
| Language | EN |
| Citations received | 110 |
| References cited | 51 |
Artificial neural network · Cartography · Convolutional neural network · Crowdsourcing · Data science · Deep learning · Geography · Machine learning · Pairwise comparison · Perception · Ranking (information retrieval) · Scale (ratio) · World Wide Web · Architecture · Artificial Intelligence · Computer Science · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Psychology · Video Surveillance and Tracking Methods
Computer Vision – ECCV 2016
Social media and deep learning reveal specific cultural preferences for biodiversity
A Percepção Urbana Na Era Digital
Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning
Perceiving the fine-scale urban poverty using street view images through a vision-language model
Liked and Disliked Streetscape Imagery
Identifying environmental factors related to pedestrian crash frequency across age groups
A human-machine adversarial scoring framework for urban perception assessment using street-view images
Analyzing the typology and livability of 15-minute travel at metro stations in high-density cities
Quantifying perceived decline through deep learning predictions and analyzing association with objective measures
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development
Global and local feature extraction of urban historical spatial perception using large language models
Understanding cities with machine eyes
Extracting human perceptions from street view images for better assessing urban renewal potential
Do You Know Your Neighborhood? Integrating Street View Images and Multi-task Learning for Fine-Grained Multi-Class Neighborhood Wealthiness Perception Prediction
Covid-19 pandemic changes the outdoor physical activity preference in Chinese city
Scalable transfer learning framework for capturing human perceptions of place through visual-aural data integration
Automatic assessment of public open spaces using street view imagery
Discovering the homogeneous geographic domain of human perceptions from street view images
Measuring heterogeneous perception of urban space with massive data and machine learning
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
Designing effective image-based surveys for urban visual perception
Assessing bikeability with street view imagery and computer vision
A review of urban physical environment sensing using street view imagery in public health studies
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax
Investigating the association between street environmental factors and pedestrian volume in a southern Chinese city
Evolution of Age-Friendly Environments
Place identity
Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan
Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities
Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images
Exploring the Impact of Built Environment Attributes on Social Followings Using Social Media Data and Deep Learning
Research on Traffic Accident Risk Prediction Method Based on Spatial and Visual Semantics
Multi-Model Fusion for Street Visual Quality Evaluation
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
Spatiotemporal Analysis of Urban Perception Using Multi-Year Street View Images and Deep Learning
Evaluation of Street Space Quality Using Streetscape Data
Modeling and Explaining Perceived Fear of Crime from Street View Imagery Using a GeoAI Framework
GeoAI for Large-Scale Image Analysis and Machine Vision
A Complete Reinforcement-Learning-Based Framework for Urban-Safety Perception
Street View Image-Based Emotional Perception Modeling of Old Residential Communities
Big Data-Driven Pedestrian Analytics
Assessment of Perceived and Physical Walkability Using Street View Images and Deep Learning Technology
Subjectively Measured Streetscape Perceptions to Inform Urban Design Strategies for Shanghai
The Role of Subjective Perceptions and Objective Measurements of the Urban Environment in Explaining House Prices in Greater London
A New Data-Enabled Intelligence Framework for Evaluating Urban Space Perception
Panoramic Street-Level Imagery in Data-Driven Urban Research
Transfer Learning of a Deep Learning Model for Exploring Tourists’ Urban Image Using Geotagged Photos
Lisansüstü Öğrencilerin Kent Algısı ve Tutumları
Assessing visual similarity of neighbourhoods with street view images and deep learning techniques
Is Generative AI a successor to human-in-the-loop perception and cognition experiments in urban design and planning
Do streetscapes still matter for customer ratings of eating and drinking establishments in car-dependent cities
Deep learning and spatial analysis framework for perception-based urban study
“Eyes” on the Street
Subjective or objective measures of street environment, which are more effective in explaining housing prices
Beyond sentiment
Assessing impacts of objective features and subjective perceptions of street environment on running amount
How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery
Perception of urban street visual color environment based on the CEP-Kass framework
“Perception bias”
Tracking urban built environment longitudinal changes using text mining and historical street view imagery
Perceived traffic safety’s impact on cycling route choice with street-level images
Multimodal Large Language Models as Built Environment Auditing Tools
Seasonal Variations in the Restorative Quality Of Campus Landscapes
How are Neighborhood and Street-Level Walkability Factors Associated with Walking Behaviors? A Big Data Approach Using Street View Images
Towards a Place-based Measure of Fear of Crime
Revisiting Gehl’s urban design principles with computer vision and webcam data
Enhancing people’s walking preferences in street design through generative artificial intelligence and crowdsourcing surveys
Quantitative measurement of urban spatial vitality by integrating physical built environment and subjective perception dimensions
From the street to the metropolitan region
Exploring the coherence and divergence between the objective and subjective measurement of streetscape perceptions at the neighborhood level
Geo-hallucination in urban analytics
Revisiting Holc redlining maps with street view image data on urban visual perceptual quality
Integrating functional accessibility and pedestrian environmental comfort
Urban AI for a sustainable built environment
Urban-i
Associations between the quality of street space and the attributes of the built environment using large volumes of street view pictures
Validating activity, time, and space diversity as essential components of urban vitality
Incorporating networks in semantic understanding of streetscapes
How does street space influence crash frequency? An analysis using segmented street view imagery
Short video-driven deep perception for city imagery
Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China
Does spatial research achieve true justice? From a systematic literature review of studies on urban space and residents’ perceptions
Urban form and livability
Quantifying Urban Surroundings Using Deep Learning Techniques
The “Paris-End” of Town? Deriving Urban Typologies Using Three Imagery Types
A Framework for Understanding Sense of Place in an Urban Design Context
Analyzing Urban Crime Through Street View Imagery
Mapping vitality–safety tensions with streetscape scores in Zagreb
Housing Perceptions and Code Enforcement
Street pavement classification based on navigation through street view imagery
Linking Streetscape Atmosphere with Social Vulnerability and Community Resilience
Vertical vision and atmocultural navigation. Notes on emerging urban scopic regimes
Crowdsourcing Pleasantness and Safety Perceptions
A Deep Learning Approach to Identify Potential Sites for Pocket Park Installation in Nanjing, China
Implications of Artificial Intelligence for Assessing the Built Environment
Crime-associated inequality in geographical access to education
Pedaling through the cityscape
Understanding the effects of urban perceptions on housing rent using big data and machine learning
Automatic extraction of urban outdoor perception from geolocated free texts
Great American City
Using Google Street View to Audit the Built Environment
Effects of skeletal streetscape design on perceived safety
The associations of perceived neighborhood disorder and physical activity with obesity among African American adolescents
Physical activity among elderly people in a city population
Preserving history or restricting development? The heterogeneous effects of historic districts on local housing markets in New York City
Neighborhood Physical Conditions and Health
Perceived School and Neighborhood Safety, Neighborhood Violence and Academic Achievement in Urban School Children
Divergent Pathways of Gentrification
| Unique citing works | 110 |
|---|---|
| Citations per year | 11 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 88 |