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{{ | {{Book | ||
| | |image=DataChapter.jpg | ||
| | |poc=Scott Tousley | ||
| | |authors=Scott Tousley, Jason Whittet, Wilfred Pinfold | ||
| | |blueprint=Data | ||
| | |sectors=Data | ||
|summary=Municipalities are using data and analytics to inform decision-making in a wide range of areas, from transportation planning to emergency management. | |||
|email=tousleys@gmail.com | |||
|document=20170824-City-Platform-Supercluster-Report-FINAL.pdf | |||
|chapter=300 | |||
}} | |||
How do you deliver essential services to your citizens in the face of already stressed aging infrastructure, shrinking budgets and a myriad of challenges that create complexity never envisioned by any civil engineer prior to the 21st century based on this mass influx of people? The pace of change is daunting and cities who do not act to address this seismic migration surge will likely face dire consequences. | |||
The | The smart city concept, based on internet of things (IoT) technologies wirelessly connecting infrastructure using sensors, beacons and other devices that produces substantial amounts of data, was developed to help cities gain better manage their assets. The concept of building a “smart city” can be traced back to various movements and research papers published in the late 20th century. One of the most notable early research pieces from the Los Angeles Community Analysis Bureau, “The State of the City: A Cluster Analysis of Los Angeles (1974)”, “sought new tools to address the old challenges of deteriorating housing by providing detailed local data to identify neighborhoods showing early signs of obsolescence.” Data was identified as one of the keys to gaining a better understanding to an urbanization problem, and that axiom holds true more than ever in 2017. | ||
Modern daily life and the problems associated with it, defined by data, allows deeper insight and decision-making capabilities that both city officials need, and the innovation community requires, to create better solutions to deal with the urban challenges of densification. Quality data is essential, however, making the data accessible and understandable is critical to making the data ultimately valuable. | |||
How do cities deal with the enormous amounts of data that smart cities produce? Once collected, how do city officials interface with this data to extract the right information to make effective operational and strategic decisions? How are these decisions made in a time efficient manner without sacrificing insight, relevance or the ability to synthesize multiple disparate data sources to make a single yet complex decision based on multiple real-time inputs? | |||
Data, analytics, and AI are being used in a variety of ways to improve municipalities, including: | |||
*'''Smart city management''': municipalities are using data and analytics to optimize city operations, improve traffic flow, and reduce energy consumption. For example, using data from traffic cameras and sensors, municipalities can analyze traffic patterns and adjust traffic signal timings to reduce congestion. | |||
*'''Predictive maintenance''': municipalities are using data and analytics to predict when equipment such as streetlights and water pumps will need maintenance, so they can schedule repairs before they fail. | |||
*'''Crime prediction''': municipalities are using data and analytics to predict where and when crimes are likely to occur, so they can deploy police resources more effectively. | |||
*'''Infrastructure planning''': municipalities are using data and analytics to plan for the future, for example by analyzing population growth and land use patterns to determine where new roads and buildings should be built. | |||
*'''Environmental monitoring''': municipalities are using data and analytics to monitor air and water quality, so they can take action to improve the environment. | |||
*'''Public service delivery''': municipalities are using data and analytics to better understand the needs of their citizens and deliver more effective public services, such as healthcare, education and social services. | |||
*'''AI-powered chatbots and virtual assistants''': municipalities are using AI-powered chatbots and virtual assistants to improve customer service and help citizens access information and services more easily. | |||
*'''Predictive modeling''': municipalities are using AI-powered Predictive Modeling to predict future events, such as natural disasters and civil disturbances, so that they can respond more quickly and effectively. | |||
*'''Better citizen engagement''': Cities are using data to improve citizen engagement and transparency. For example, cities are using open data portals to make data about city services and operations more accessible to the public. | |||
*'''Better crisis management''': Cities are using data to respond more quickly and effectively to crises such as natural disasters and civil disturbances. For example, cities are using data from social media and other sources to track the spread of misinformation and disinformation, and then take action to counter it. | |||
*'''Increased efficiency''': Cities are using data to improve the efficiency of city services such as waste management, energy management and public safety. | |||
*'''Better public services''': Cities are using data to better understand the needs of citizens and deliver more effective public services. For example, cities are using data from social media and other sources to identify areas where residents are experiencing problems such as homelessness, and then direct resources to those areas. | |||
*'''Improved sustainability''': Cities are using data to reduce their environmental impact and promote sustainability. For example, cities are using data from sensors and smart meters to optimize energy consumption, and monitor air and water quality. | |||
=Activities= | |||
{{#ask: | {{#ask: | ||
[[Category: | [[Category:Activity]] | ||
[[Category: | [[Category:{{PAGENAME}}]] | ||
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|?Has image#=2 | |?Has image#=2 | ||
|?Has description#=3 | |?Has description#=3 |
Latest revision as of 22:45, January 19, 2023
Data | ||||||||||||||||
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Introduction | ||||||||||||||||
Contact | Scott Tousley | |||||||||||||||
Topics | ||||||||||||||||
NEWS
REPORTS |
- Authors
Municipalities are using data and analytics to inform decision-making in a wide range of areas, from transportation planning to emergency management.
How do you deliver essential services to your citizens in the face of already stressed aging infrastructure, shrinking budgets and a myriad of challenges that create complexity never envisioned by any civil engineer prior to the 21st century based on this mass influx of people? The pace of change is daunting and cities who do not act to address this seismic migration surge will likely face dire consequences.
The smart city concept, based on internet of things (IoT) technologies wirelessly connecting infrastructure using sensors, beacons and other devices that produces substantial amounts of data, was developed to help cities gain better manage their assets. The concept of building a “smart city” can be traced back to various movements and research papers published in the late 20th century. One of the most notable early research pieces from the Los Angeles Community Analysis Bureau, “The State of the City: A Cluster Analysis of Los Angeles (1974)”, “sought new tools to address the old challenges of deteriorating housing by providing detailed local data to identify neighborhoods showing early signs of obsolescence.” Data was identified as one of the keys to gaining a better understanding to an urbanization problem, and that axiom holds true more than ever in 2017.
Modern daily life and the problems associated with it, defined by data, allows deeper insight and decision-making capabilities that both city officials need, and the innovation community requires, to create better solutions to deal with the urban challenges of densification. Quality data is essential, however, making the data accessible and understandable is critical to making the data ultimately valuable.
How do cities deal with the enormous amounts of data that smart cities produce? Once collected, how do city officials interface with this data to extract the right information to make effective operational and strategic decisions? How are these decisions made in a time efficient manner without sacrificing insight, relevance or the ability to synthesize multiple disparate data sources to make a single yet complex decision based on multiple real-time inputs?
Data, analytics, and AI are being used in a variety of ways to improve municipalities, including:
- Smart city management: municipalities are using data and analytics to optimize city operations, improve traffic flow, and reduce energy consumption. For example, using data from traffic cameras and sensors, municipalities can analyze traffic patterns and adjust traffic signal timings to reduce congestion.
- Predictive maintenance: municipalities are using data and analytics to predict when equipment such as streetlights and water pumps will need maintenance, so they can schedule repairs before they fail.
- Crime prediction: municipalities are using data and analytics to predict where and when crimes are likely to occur, so they can deploy police resources more effectively.
- Infrastructure planning: municipalities are using data and analytics to plan for the future, for example by analyzing population growth and land use patterns to determine where new roads and buildings should be built.
- Environmental monitoring: municipalities are using data and analytics to monitor air and water quality, so they can take action to improve the environment.
- Public service delivery: municipalities are using data and analytics to better understand the needs of their citizens and deliver more effective public services, such as healthcare, education and social services.
- AI-powered chatbots and virtual assistants: municipalities are using AI-powered chatbots and virtual assistants to improve customer service and help citizens access information and services more easily.
- Predictive modeling: municipalities are using AI-powered Predictive Modeling to predict future events, such as natural disasters and civil disturbances, so that they can respond more quickly and effectively.
- Better citizen engagement: Cities are using data to improve citizen engagement and transparency. For example, cities are using open data portals to make data about city services and operations more accessible to the public.
- Better crisis management: Cities are using data to respond more quickly and effectively to crises such as natural disasters and civil disturbances. For example, cities are using data from social media and other sources to track the spread of misinformation and disinformation, and then take action to counter it.
- Increased efficiency: Cities are using data to improve the efficiency of city services such as waste management, energy management and public safety.
- Better public services: Cities are using data to better understand the needs of citizens and deliver more effective public services. For example, cities are using data from social media and other sources to identify areas where residents are experiencing problems such as homelessness, and then direct resources to those areas.
- Improved sustainability: Cities are using data to reduce their environmental impact and promote sustainability. For example, cities are using data from sensors and smart meters to optimize energy consumption, and monitor air and water quality.
Activities
Applying Open Data to inform future Smart City Design | ||
In order for cities and design professionals to have a more transparent understanding of the Climate Change impacts of potential building development, they must have a tool that provides quick and facile real time calculation linked to the weather data and utility information of an area, along with the potential energy usage. Between March 2016 and 2017:
| ||
BigClouT | ||
BigClouT project aims at giving an analytic capability to cities exploiting available big data from sources such as IoT devices, open data, social networks, mobile applications, etc. and use them to improve the daily life of cities, their citizens and visitors. The target applications are:
| ||
Building an Open Data Ecosystem | ||
The "Building an Open Data Ecosystem" project in Leeds, United Kingdom aims to foster collaboration and innovation through the development of an open data ecosystem in the city. | ||
CITYDASH City-wide analytics dashboard from public and private data sources | ||
Data analytics and insights powered by machine intelligence for 4 target city departments:
| ||
CIVIC Data Platform | ||
CIVIC is an open data platform to democratize
public information and drive meaningful engagement through neutral, nonpartisan analytics. It's built entirely by multidisciplinary teams of volunteer coders, designers and domain experts using open source technology. | ||
Central Data Management System | ||
The 'Central Data Management System' project in Vienna, Austria aims to establish a comprehensive and efficient data management framework for the city. Led by the City of Vienna's Department of Data Management, the project seeks to centralize data storage, ensure data quality and security, and streamline data access and sharing processes. | ||
Citizen App | ||
Citizen App, the first of its kind, empower individuals to claim and legally own their data from across multiple sources, then use it securely and seamlessly in everyday life. | ||
City Insight Platform- Communities in Context | ||
Using data from the city, state and federal level Vizalytics will create a City Insight Platform.
This will provide users with a real-time view of what is happening in a neighborhood, and can be refined by choosing which lens to view- from socio-economic indices, business climate, transportation, infrastructure, quality of life and more. | ||
Combating Urban Blight in the New York Capital Region and Mohawk Valley | ||
Urban blight is a city and regional level problem that impacts social and economic opportunities, among others, of those who live and work in cities. This project is focused on piloting a shared policy, management, and technology infrastructure that will allow four cities within the NYS capital region to share information about properties in a way that enables new insights into and action focused on urban blight. With funding from the NYS Department of State, the Cities of Schenectady, Troy, Amsterdam, and Gloversville have partnered with the Center for Technology in Government (CTG), University at Albany, to develop the technical, policy, and organizational capabilities needed within and across the cities to interrupt the cycle of blight in their communities. The results of the pilot will be made available for application regionally and statewide. Future work will include integrating additional data types (e.g. video) and sources (e.g. sensor technologies). | ||
Constituent-led Public Data and IoT Utility for Urban Health Housing and Environmental Hazard Management | ||
Objectives
| ||
Coral Gables Smart City Hub Public Platform | ||
The City of Coral Gables promotes the development of a smart city ecosystem that fosters innovation by bringing together through technology People, Businesses, Organizations, Things, and Systems. By leveraging strategic planning and innovation, the City’s digital transformation and smart initiatives can benefit our citizens with continual improvement to customer service and quality of life. Our smart city plan implements several interconnected and interoperable elements that include a Smart City Hub, Data Platforms, Internet of Things, and a robust and resilient technology infrastructure with high-speed communications. | ||
Data.gov | ||
Data.gov is a website operated by the U.S. federal government that provides access to datasets and other resources related to government activities and policies. It is intended to make government data more easily accessible to the public, with the goal of increasing transparency and enabling citizens to better understand and engage with their government. Data.gov offers a wide variety of data sets and resources, including data on topics such as agriculture, education, energy, finance, health, and more. The website also includes tools and resources for developers, such as APIs and code libraries, to help people use the data in creative and innovative ways. | ||
Decision Theatre PSU | ||
Portland State University’s Decision Theater is designed for university researchers and regional stakeholders (i.e. government, private companies) to work on projects that “link data sets, visualization and decisions,” according to a university statement. The space is modeled after Arizona State University's Decision Theater, as well as a similar facility at the University of Chicago. | ||
DigiTel Resident Card | ||
The City of Tel Aviv has undergone a transformation to become a “smart city” that uses technology to improve the City Hall administration and its citizens’ lives. Through programs such as the DigiTel Residents Club and the DigiTel mobile application, Tel Aviv offers innovative electronic services to its population and is searching ways to make citizens interested in how the city works. Throughout the process, Tel Aviv has worked closely with Microsoft to find the best ways to achieve its vision of a smart city. | ||
Digital Strategy Borchen-Etteln | ||
To further increase the quality of life for all people in Borchen-Etteln and to develop the economic, social and ecological potential. In doing so, we take into account the interests of all age groups | ||
Digital Twin: Infectious Disease Management | ||
Link time, spatial and sensor data with existing enterprise data to enable new insights. | ||
Digital Twin: Manufacturing Quality Control Via Remote Operator | ||
The post-Covid world necessitates remote verification of manufacturing components – in real-time, as they are conveyed across the manufacturing line. | ||
Dwellingly | ||
Dwelling.ly is an app to improve communication between the landlord providing transitional housing and the social workers who support them. | ||
Emergency Communication Services | ||
Establishes a practical approach for management of emergency and incident response with a common operating picture. | ||
Estimation of De Facto Population | ||
Key Deliverables
| ||
Family CARE - Caregiver 2.0 | ||
Presence Caregiver learns daily activity patterns and can warn caregivers, family members and friends about incidents of concern with text alerts of potential hazards including falls, water leaks and wandering. | ||
GIS Resources from the Oregon Department of Forestry | ||
Oregon Department of Forestry's GIS Data is maintained by the Information Technology Department's GIS Unit. | ||
GO-PS Gyeonggi Open Platform for SmartCity | ||
GO⋅PS is a smart city standard platform to utilize the element technology of the age of 4th Industrial Revolution as a means to solve urban problems.
The Gyeonggi Province of Korea, along with Gyeonggi Research Institute (GRI) and Gyeonggido Business and Science Accelerator (GBSA), is currently creating and operating an industry-academia-related consultative body to create a sustainable business model. GO⋅PS matches companies, research institutes, and academics according to the demand of public urban matters, and uses its technologies, research works, and consulting methods to create solutions for problems and have them collected on the platform. The GO・PS is currently comprised of three large departments namely, Smart Transport, Smart Energy, and Smart Healthcare. (It is planned to be expanded with more departments in the future) | ||
Global Digital Single Market for Smart Cities FIWARE | ||
The project will demonstrate the potential impact of creating a digital single market for smart cities based on the adoption of a minimum common set of de-facto platform standards enabling solutions to interoperate within, and be replicable across, multiple cities. | ||
Go-Green | ||
GoGreen aims to help people understand the impact of small sustainable gestures on their communities through technology. It presents itself as a community rewards system where participating points providers can define actions that support their communities objectives and reward people for taking them. For the users they see a marketplace of options along with rewards based on secure blockchain based smart contracts for supportive behavior. | ||
Home Automation | ||
Step by step process of automating a home using various technologies. | ||
I3 Consortium Action Cluster | ||
The I3 project is creating a tool that will allow independent device owners to directly manage how the data streams from their IOT devices are delivered to applications. Opensource Project software includes support for privacy, trust, and incentive management.
Requirements and proof-of-concepts complete. Consortium management structure in process. Demonstration systems in process. R1.0 beta software in design. | ||
Illuminating Smart Cities: Kansas City Runs on IoT Platform | ||
Kansas City, MO (KCMO) and its partners have designed and implemented an IoT platform to develop a smart city network, starting with Kansas City’s streetcar starter line in their Downtown area. Based on this initial site, the team has will implement a model that would make Kansas City the largest smart city network in North America. | ||
India Stack | ||
India Stack is the moniker for a set of open APIs and digital public goods that aim to unlock the economic primitives of identity, data, and payments at population scale. | ||
Lutece | ||
Lutece is an open source platform developed by the City of Paris to help you develop digital solutions. Honed for cities’ use through almost 20 years of development, Lutece has evolved into multifaceted platform with more than 400 plugins and modular architecture that will enable your specific needs and enhance your users' digital experience. | ||
Neighborhood Data for Social Change | ||
The Neighborhood Data for Social Change (NDSC) platform is a free, publicly available online resource for civic actors to learn about their communities. | ||
Open 988 | ||
988 has been designated as the new three-digit dialing code that will route callers to the National Suicide Prevention Lifeline. While some areas may be currently able to connect to the Lifeline by dialing 988, this dialing code will be available to everyone across the United States starting on July 16, 2022. | ||
Open Data STREAMS | ||
This project involves an evaluation framework for open datasets published by the City of Portland. The goal is to create a data analysis tool which provides quality assurance for datasets made available between bureaus and to the public. | ||
Open Network for Education and Skilling Transactions | ||
Beckn-based Open Network for Education and Skilling Transactions (ONEST) | ||
Open Participatory Budgeting | ||
Participatory budgeting (PB) is process in which citizens decide how to allocate part of a municipal or public budget through a process of democratic deliberation and decision-making. Participatory budgeting allows citizens or residents of a locality to identify, discuss, and prioritize public spending projects, and gives them the power to make real decisions about how money is spent. | ||
Open platform for scalable and multi-domain IoT applications for smart cities | ||
Objectives
| ||
OpenGrid | ||
OpenGrid is an interactive, map-based platform for exploring open data sets in an easy-to-use, map-based interface. OpenGrid enables municipalities to offer residents, businesses, and communities a better way to interact with public data. Users can perform advanced queries to filter data as well as search within custom boundaries or based on the user's location. | ||
Oregon Data Catalog | ||
The Oregon Data Catalog is a platform for managing and publishing data sets that are relevant to the state of Oregon in the United States. The platform is based on CKAN, which is a free and open-source software platform for managing and publishing data. | ||
Personal Access System for Services (PASS) | ||
Social services are programs or services designed to support individuals and communities in need. They provide assistance with basic needs such as food, housing, and clothing, as well as health and medical care, education and job training, child care, support for individuals with disabilities or mental health conditions, and aging and elder care. These services are intended to improve the quality of life for individuals and communities and help individuals achieve self-sufficiency. | ||
Personalized Dashboard for the Residents | ||
YoGov and the City of San Leandro partnered to create an Amazon-like dashboard for city residents, helping residents quickly and easily find services most relevant to them. The dashboard also promotes city services, events, and news that are important to the city. | ||
PortlandMaps - Open Data | ||
PortlandMaps delivers site-specific property information, neighborhood crime statistics, aerial photos, school information, and tons of additional map data for the City of Portland and beyond. | ||
Protecting user Data in the Smart City scenario | ||
Data is exchanged intensively within a Smart City, the correct usage of such information is vital to provide a better service to the citizens. Protecting user’s details is the key of a broader adoption of any application with intense data exchange and exploitation. | ||
Resilience HUB - East Multnomah | ||
Resilience Hubs are community-serving facilities augmented to support residents and coordinate resource distribution and services before, during, or after a natural hazard event. They leverage established, trusted, and community-managed facilities that are used year-round as neighborhood centers for community-building activities. Resilience Hubs can equitably enhance community resilience while reducing greenhouse gas emissions and improving local quality of life for our communities. They have the potential to reduce burden on local emergency response teams, improve access to public health initiatives, increase the effectiveness of community-centered institutions and programs. | ||
Saitama City Smart Community Project | ||
We developed a Smart Community Information Platform (SCIP) for achieving security and privacy management of smart city data and providing smart city data services considering time-, privacy-, and location- critical problems. We are implementing the information platform for providing smart town services for 32,000 residents in 230-hectare area of Misono Town, Saitama City as a testing site of SCIP. | ||
Smart Beyoğlu: Digital Recollection of Beyoğlu | ||
Smart Beyoğlu is a mobile application project which provides fast access to all transactions related to the municipality and solutions for the citizens and business owners in Beyoğlu. Local and foreign tourists can get a lot of information such as details, location of business, hotels, restaurants etc., historical buildings and cultural events. It is a mobile app project that allows them to set up a network. | ||
Smart Cities Dashboard in the City of Bellevue WA | ||
Install a pilot GIS-based visual dashboard to provide improvements in the following sectors:
| ||
Smart City Vision Strategic Planning and Digital Transformation Methodology | ||
* The Smart City methodology helps people imagine and learn about future state scenarios for their lives, businesses, and cities. The process produces clearly defined product solutions and projects they want to create, design, and implement.
| ||
SynchroniCity | ||
The opportunities presented by technology are endless. However, societies are still struggling to get long-lasting value out of it, contributing to local priorities. How do we ensure that technology respects our privacy, enables us to live in a more sustainable way and helps us lead a happier life? It has become clear that we need to rethink and improve our development of technology in order to create better living conditions for people. For this reason, we created SynchroniCity, opening up a global market, where cities and businesses develop IoT- and AI-enabled services through pilots to improve the lives of citizens and grow local economies. | ||
Taipei Smart City Living Lab | ||
* Taipei has been transformed into a living lab through the efforts of public-private partnership. The matchmaking mechanism efficiently solves city problems and citizen demands, as well as instantly promoting government plans and integrating private resources. It is a much more positive and comprehensive approach, compared to the methods adopted by other cities, promoting their projects either in a top-down or bottom-up fashion.
| ||
Taoyuan Mobile Citizen Card | ||
In respond to the needs of mobile payment and the popularization of mobile devices, Taoyuan City Government works with telecom companies and e-ticket companies to integrate the citizen card into the sim card of a mobile phone so that citizens are allowed to enjoy all the functions and service of a citizen card on their phone such as borrowing books, taking trains/metros/buses, renting Ubikes, purchasing at a convenience store, accumulating bonuses, etc., and getting special discounts at certain stores. Citizens are thus given more options in ways to use their citizen cards. | ||