3D Helsinki
There are two next generation 3D city models of Helsinki available: a semantic city information model and a visually high-quality reality mesh model.
There are two next generation 3D city models of Helsinki available: a semantic city information model and a visually high-quality reality mesh model.
The city of Melbourne is working with the community (residents, workers, businesses, students and visitors) to design, develop and test the best ways to live, work and play in Melbourne. The publication and visualization of municipal data can effectively promote understanding of, and participation in, Melbourne's evolution as a smart city. The data of multiple sectors (parking, transport, city sensors, major development, environment, city statictics etc.) are avaible for everyone.
By analysing anonymised data obtained from commuters' fare cards and identifying commuter hotspots to manage bus fleets, the Land Transport Authority (LTA) can help improve commuting experience. Arrival times of buses are tracked using sensors installed in over 5,000 vehicles, and the real-time location data of buses helps facilitate transport planning to better meet commuters' demands.
Insights gained from data can help LTA better anticipate and address the needs of different types of commuters through improved policy planning.
A dynamic 3D digital platform that will enable the public, businesses, government and research agencies to derive insights, develop solutions and run simulations using a large-scale city model of Singapore.
CityScore is an initiative designed to inform the Mayor and city managers about the overall health of the City at a moment’s notice by aggregating key performance metrics into one number. They provide an overview of the CityScore tool and data, but more importantly they show the potential users how they are using CityScore to make improvements across the City.
For the IoT-based Smart City Project, which is organized by Ministry of Science, ICT, and Future Planning and centers around Haeundae Centum City, Busan Metropolitan Government and SK Telecom created a consortium to carry out the project for three years from 2015 to 2017. The project will provide an open platform through which all data created from sensors within the smart city can be collected and shared. The purpose of the project is to respond to various urban problems (environment, energy saving, traffic) by using the latest ICT and environmentally-friendly technologies.
Hong Kong GeoData Store is a geospatial information service provided by the Hong Kong Special Administrative Region (HKSAR) Government to the general public, with a vision to build a better society by developing an open geospatial information collaboration platform to improve the quality of life and efficiency in urban management. Hong Kong GeoData Store facilitates the discovery and dissemination of various types of spatial-enabled Public Sector Information (PSI) in open format and API for free re-use for both commercial and non-commercial purposes. Let us build
The Dublin Dashboard provides citizens, public sector workers and companies with real-time information, time-series indicator data, and interactive maps about all aspects of the city. It enables users to gain detailed, up to date intelligence about the city that aids everyday decision making and fosters evidence-informed analysis.
Australian cities have long been an important economic and social asset and will be more important than ever in the 21st century. Our cities provide great opportunities for innovation and productivity in the global knowledge-based economy and are recognised as great places to live, work and study. The Australian Government is committed to the continual improvement of our cities.
The MK Data Hub is award winning technical, data infrastructure of the MK:Smart project, supporting the collection, integration and use of large amounts of data from many diverse resources relevant to city systems. The datasets include local and national open data, data streams from both key infrastructure networks (energy, transport, water) and other relevant sensor networks (e.g. weather and pollution data), data crowdsourced from social media and mobile applications, etc.