We are requesting non-personal, non-secure datasets related to traffic flow, weather conditions, and air quality measurements in Auckland. Specifically, we are interested in: Detailed traffic data, including vehicle counts and congestion levels, preferably segmented by time of day and location. Historical weather data encompassing temperature, humidity, wind speed, and precipitation. Air quality data, including measurements of pollutants such as PM2.5, PM10, NOx, and CO2 levels. We are seeking data for the period from 2015 to the present to observe long-term trends. The preferred formats for this data are CSV, Excel, or any other machine-readable format that allows for detailed analysis. Opening this data would solve the problem of ... Inadequate understanding of the factors affecting air quality in Auckland and the inability to predict changes effectively. This data is crucial for academic research aimed at developing predictive models to forecast air quality variations, contributing to public health and urban planning initiatives.
Inadequate understanding of the factors affecting air quality in Auckland and the inability to predict changes effectively. This data is crucial for academic research aimed at developing predictive models to forecast air quality variations, contributing to public health and urban planning initiatives.
Allowing us to analyze the correlations between traffic patterns, weather conditions, and air quality. This analysis will enable the development of a predictive model to forecast air quality, helping policymakers and the public make informed decisions. Opening this data also supports academic research and contributes to the global understanding of urban environmental challenges.
8 Votes
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