Artificial intelligence algorithms were used for the generation of clean map layers. The next stage was cleansing, standardization, and creating relationships between different data types, using specialized libraries for geographic data analysis, such as GeoPandas and Shapely. Once the data was collected, geographic information was compiled, and compatible files were generated to visualize this information. For this process, the the application was used, which allowed the geographical position of the place where the data was collected, and maps were loaded even without an internet connection. The geo-referenced data collection was carried out in situ to accurately ensure the location of the points of interest. To maximize the efficiency of the Observatory, it is essential to have accurate and reliable data. Its intuitive and visual interface contains relevant information that allows decisions supported by reliable data. The Metropolitan Observatory of Santa Cruz is a crucial tool that allows the visualization and analysis of critical georeferenced information for planning grey routes in urban and rural areas. This innovative planning methodology represents a significant advance in public management since it allows greater efficiency in resource allocation and greater effectiveness in achieving strategic objectives for metropolitan development by creating the Metropolitan Observatory of Santa Cruz OMSC. This team collected, analyzed, and visualized the information necessary for making informed and evidence-based decisions. To implement this methodology, an interdisciplinary work team has been established, made up of experts in different areas of knowledge such as urban planning, transportation, environment, economy, and data analysis, among others. This new planning methodology has been designed to improve strategic decision-making in the metropolitan area by incorporating empirical data and advanced analytical tools. The Autonomous Departmental Government of Santa Cruz GADSC has adopted an innovative methodology for evidence-based metropolitan planning. Therefore, the Autonomous Departmental Government of Santa Cruz has implemented an effective strategy to improve the quality of life in cities. It is important to emphasize that evidence-based metropolitan planning should be a continuous and adaptable process as urban conditions change and new data and evidence are obtained. In addition, evidence can also help improve transparency and accountability in the decision-making process.
The use of evidence in decision-making helps identify problems and opportunities, evaluate the effectiveness of existing policies and programs, and develop new strategies and innovative solutions.
Once collected, data must be processed and analyzed to identify patterns and trends. This involves collecting accurate and up-to-date information on various relevant aspects of cities, including demographics, socioeconomic factors, infrastructure, and environmental impacts.ĭata can be collected through various sources, such as digital surveys, administrative records, remote sensors, satellite images, and Geographic Information Systems (GIS).
In this blog, we will explore how evidence-based metropolitan planning can drive sustainable urban development, improve the quality of life of inhabitants, and promote equity in the cities of the future in the Santa Cruz metropolis.Įvidence-based metropolitan planning refers to collecting, analyzing, and using data and evidence to make informed decisions in urban development. In this sense, smart metropolitan planning emerges as an innovative solution by the Autonomous Departmental Government of Santa Cruz that seeks to improve the future of cities using technology and data. To address these issues, evidence-based metropolitan planning with technology and data has become vital for making informed and strategic decisions. Currently, cities face significant challenges regarding their sustainable development and growth.
0 kommentar(er)
