| Category |
Topic (Click for Summary) |
Paper |
City |
State |
Country |
| Crime |
Urban Crime Prediction |
|
London |
|
England |
| Bail in New York |
|
New York |
New York |
USA |
| Data Analysis on traffic accident and urban crime: A case study in Toyota city |
|
Toyota City |
|
Japan |
| Disaster |
Predictive Modeling: Firebird - Predicting Fire Risk and Prioritizing Fire Inspection in Atlanta |
|
Atlanta |
Georgia |
USA |
| Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city |
Available |
Haiku |
|
China |
| Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China |
|
Haiku |
|
China |
| Education |
Predicting Students Drop Out |
Available |
Eindhoven |
|
The Netherlands |
| Energy |
Identifying household electricity consumption patterns: A case study of Kunshan, China |
|
Kunshan |
|
China |
| A data-driven predictive model of city-scale energy use in buildings |
| New York |
New York |
USA |
| Food |
Optimizing Chicago Food Inspection Process Using Predictive Analytics |
|
Chicago |
Illinois |
USA |
| Health |
Predictive Modeling For Public Health: Preventing Childhood Lead Poisoning |
|
Chicago |
Illinois |
United States |
| Predicting Trends in Air Pollution in Delhi using Data Mining |
|
Delhi |
|
India |
| Mining human activity patterns from smart home big data for health care applications. |
|
London |
|
England |
| Spatial Variability of Geriatric Depression Risk in a High-Density City |
|
Hong Kong |
|
China |
| High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data |
|
Oakland |
California |
USA |
| Housing |
Analyze job-housing relationship by using smart card data and household travel survey |
Available |
Beijing |
|
China |
| Predicting Movement out of San Francisco |
|
San Francisco |
California |
USA |
| Designing Policy Recommendations to Reduce Home Abandonment in Mexico |
|
Mexico City |
|
Mexico |
| Predictive Analytics to Facilitate Proactive Property Vacancy Policies for Cities |
|
Syracuse |
New York |
USA |
| Spatial and Social Medial Data Analytics of Housing Prices |
|
Shenzhen |
|
China |
| Early Detection of Properties at Risk of Blight Using Spatiotemporal Data |
|
Cincinnati |
Ohio |
USA |
| Land Use |
Inferring Urban Land Use Using Large-Scale Social Media Check-In Data |
|
New York |
New York |
USA |
| Mapping landslide susceptibility and types using Random Forest |
Available |
Piedmont |
|
Italy |
| Identifying Geographic Clusters |
|
London, Boston, ... |
|
|
| The Cartography of Opportunity: Spatial Data Science for Equitable Urban Policy |
|
Baltimore |
Maryland |
United States |
| Modelling Urban Growth |
|
Kathmandu |
|
Nepal |
| Finding Main Streets |
|
Boston |
Massachusetts |
USA |
| Hyperspectral Sensor Data Capability for Retrieving Complex Urban Land Cover in Comparison with Multispectral Data |
|
Venice |
|
Italy |
| Understanding Urban Gentrification through Machine Learning |
|
London |
England |
United Kingdom |
| Migration |
A Machine Learning Approach to Modeling Human Migration |
Available |
|
|
USA |
| Pest |
Predicting the probability of rodent infestation by census block |
|
Washington |
DC |
USA |
| Poverty |
Emergency homeless shelter use in the Dublin |
Available |
Dublin |
|
Ireland |
Combining disparate data sources for improved poverty prediction and mapping |
|
|
|
Senegal |
| Tourism |
A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart Cities |
|
Milano |
|
Italy |
| Tourism analytics with massive user-generated content: A case study of Barcelona. |
|
Barcelona |
Catelonia |
Spain |
| Transportation |
Analysis of Autopilot Disengagements Occurring During Autonomous Vehicle Testing |
|
|
California |
USA |
| Bicycle Ridership and Intention in a Northern, low-lying city |
Available |
Sinagpore |
|
Singapore |
| Clustering Smart Card Data for Urban Mobility Analysis |
|
Rennes |
|
France |
| Commuter cycling policy in Singapore: a farecard data analytics based approach |
|
Sinagpore |
|
Singapore |
| Data Analytics for Smart Parking Applications |
|
Barcelona, Padua |
|
Spain, Italy |
| Mining Smart Card Data for Transit Riders’ Travel Patterns |
|
Beijing |
|
China |
| Modeling Cyclist’ Facility Choice |
|
Saitama |
|
Japan |
| Modelling Road Network's Influence on Cyclist Behaviour |
|
Cuenca |
Azuay |
Ecuador |
| Predicting arrival time irregularities of transit buses in Toronto |
Available |
Toronto |
Ontario |
Canada |
| Predicting Cycling Accident Risk in Brussels |
Available |
Brussels |
|
Belgium |
| Predicting Transportation Mode Choice |
Available |
Amsterdam |
|
The Netherlands |
| Reducing Subway Crowding analysis of an Off-Peak Discount experiment in Hong Kong |
Available |
Hong Kong |
|
China |
| Short-Term Travel Behaviors Prediction with GPS, Land Use, and Point of Interest Data. |
Available |
Washington |
DC |
USA |
| Real Time Forecasting of Ontime Performance of Metrorail Systems |
|
Washington |
DC |
USA |
| Towards a better understanding of Public Transportation Traffic: A Case study of the Washington, DC Metro |
|
Washington |
DC |
USA |
| Traffic Prediction in a Bike Sharing System |
|
New York |
New York |
USA |
| Transportation Impacts of Vehicle-for-Hire in the City of Toronto |
|
Toronto |
Ontario |
Canada |
| Understanding the Factors that Influence the Probability and Time to Streetcar Bunching Incidents |
|
Toronto |
Ontario |
Canada |
| Waste |
Big data analytics to identify illegal construction waste dumping: A Hong Kong study |
Available |
Hong Kong |
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| China |
| Predicting Solid Waste Generation in New York |
|
New York |
New York |
USA |
| Predictive model for municipal waste generation using artificial neural networks in Zagred |
Available |
Zagred |
|
Croatia |
| Water and Sanitation |
Locating Lead Pipes using Predictive Modeling in Flint, MI |
|
Flint |
Michigan |
USA |
| Comparison of Machine Learning Classifiers for Predicting Water Main Failure |
Available |
Saskatoon |
Saskatchewan |
Canada |
| Predicting the Timing of Water Main Failure |
Available |
Toronto |
Ontario |
Canada |
| Predictive Analytics for Planning Inspections of Linear Sewer Infrastructure |
Available |
Guelph |
Ontario |
Canada |
| Other |
Predicting customer’s gender and age depending on mobile phone data |
Available |
|
|
Syria |