Smart cities software applications for sustainability and resilience
View abstract on PubMed
Summary
This summary is machine-generated.Smart city technologies, including the Internet of Things (IoT), address urban growth challenges. Information and Communication Technologies (ICT) integration enhances urban resilience, sustainability, and quality of life.
Area Of Science
- Urban Planning and Sustainability
- Information and Communication Technology
- Smart City Development
Background
- Rapid urban population growth presents complex sustainability and resilience challenges.
- Smart city technologies, including software and the Internet of Things (IoT), are crucial for addressing these issues.
- Information and Communication Technologies (ICT) offer potential solutions for urban transformation.
Purpose Of The Study
- Investigate challenges of rapid urban growth.
- Explore ICT utilization for smart city development.
- Understand ICT's role in enhancing urban resilience, sustainability, and quality of life.
Main Methods
- Literature review.
- Appraisal of 15 Smart City software applications across various domains.
- Analysis of 30 case studies on sustainability and resilience.
- Thematic analysis of case studies mapped to Smart City action areas.
Main Results
- Rapid urbanization causes challenges like congestion, environmental degradation, and economic disparities.
- Smart city software, encompassing IoT, data analytics, and citizen engagement, effectively addresses these urban challenges.
- Benefits of smart city software align with key action areas: Governance, Mobility, Economy, Environment, Living, and People.
Conclusions
- ICT-driven smart city solutions are vital for managing urban growth.
- Smart city software applications provide practical tools for urban planners.
- Contextual factors influence the effectiveness of smart city initiatives globally.
Related Concept Videos
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...

