CDP-Challenge-Cities-KPI
OpenML dataset with id 43765
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102590/CDP-Challenge-Cities-KPI.arff
Upload date: 24 March 2022
Copyright license: Creative Commons Attribution-ShareAlike 4.0 International
Dataset Characteristics
Number of features: 58 (numeric: 34, symbolic: 0 and in total binary: 0 )
Number of instances: 615
Number of instances with missing values: 567
Number of missing values: 9,612
Context This dataset is generated after an epxloratory analysis of data provided by Carbon Disclosure Project in the following competition: CDP: Unlocking Climate Solutions. It contains a compilation of indicators extracted and calculated based on cities' reponses to CDP disclosure for the year of 2020. Content Governance Data Management
Sustainability.Targets.Master.Planning (Question 1.0): Cities report if they incorporate sustainability goals and targets into the master planning
Climate hazards and vulnerability
Risk.Assessment.Actions (Question 2.0): Cities report if a climate change risk or vulnerability assessment been undertaken Nb.Hazards.Type (Question 2.1): Counting the number of reported hazards by organization Hazards.Exposure.Level (Question 2.1): The weighted sum of reported hazards and porbability Adaptation.Challenges.Economic (Question 2.2): Number of reported significant adaptation challenges related to economic sector Adaptation.Challenges.Health (Question 2.2): Number of reported significant adaptation challenges related to health sector Adaptation.Challenges.Education (Question 2.2): Number of reported significant adaptation challenges related to education sector Adaptation.Challenges.Habitat (Question 2.2): Number of reported significant adaptation challenges related to habitation sector Adaptation.Challenges.Infrastructure (Question 2.2): Number of reported significant adaptation challenges related to infrastructure Adaptation.Challenges.Social (Question 2.2): Number of reported significant adaptation challenges related to social issues Adaptation.Challenges.Environment (Question 2.2): Number of reported significant adaptation challenges related to environmental issues Adaptation.Challenges.Governance (Question 2.2): Number of reported significant adaptation challenges related to governance Adaptation.Challenges.Level (Question 2.2): Sum of reported significant adaptation challenges Risk.Health.System (Question 2.3): Cities indicate if they face risks to public health systems associated with climate change
Adaptation
Nb.Adaptations.Actions (Question 3.0): Number of reported adaptation actions cities are taking to reduce the risk to climate change hazards Adaptation.Plan (Question 3.2): Cities indicating if they have a published plan that addresses climate change adaptation
City-wide emissions
City.Wide.Emissions.Inventory (Question 4.0): Answering if they have a city-wide emissions inventory to report GHG.Emissions.Primary.protocol (Question 4.3): The name of the primary protocol, standard, or methodology you have used to calculate your citys city-wide GHG emissions GHG.Emissions.Evolution (Question 4.8): Indication if the city-wide emissions have increased, decreased, or stayed the same since the last emissions inventory GHG.Emissions.Consumption (Question 4.9): Indication if the city-wide emissions have increased, decreased, or stayed the same since the last emissions inventory GHG.Emissions.External.Verification (Question 4.12): Indication if the GHG emissions data heve been externally verified or audited
Emission reduction
GHG.Emissions.Reductions.Targets (Question 5.0):Cities are reporting if they have a GHG emissions reduction target(s) in place at the city-wide level Emissions.Reductions.Mitigation.Planning (Question 5.5):Cities are reporting if they have a climate change mitigation or energy access plan for reducing city-wide GHG emissions
Opportunities
Opportunities.Collaboration (Question 6.2):Cities are reporting if they collaborate in partnership with businesses on sustainability projects
Energy
Renewable.Energy.Target (Question 8.0):Cities are reporting if they have a renewable energy or electricity target Electricity.Source.Renewable (Question 8.1): Percent of renewable source mix of eleictricity consumed in the city Energy.Efficnecy.Target (Question 8.5): Cities are reporting if they have a target to increase energy efficiency
Transport
Transport.Mode.Passenger.Private.motorized (Question 10.1): Percent of private motorized transport mode in city passenger transport Transport.Mode.Passenger.Walking (Question 10.1): Percent of walking transport mode in city passenger transport Transport.Mode.Passenger.Public (Question 10.1): Percent of public transport mode in city passenger transport Transport.Mode.Passenger.Cycling (Question 10.1): Percent of cycling transport mode in city passenger transport Transport.Mode.Passenger.Other (Question 10.1): Percent of other transport mode in city passenger transport Low.Zero.Emission.Zone (Question 10.7): Cities are reporting if they have a low or zero-emission zone
Food
Food.Consumption.Policies (Question 12.3): Cities are reporting if they have any policies relating to food consumption
Water security
Potable.Water.Supply.Percent (Question 14.1): Percentage of city's population having potable water supply service Potable.Water.Supply.Percent (Question 14.4): Cities are reporting if they have have a publicly available Water Resource Management strategy
Acknowledgements
This dataset is generated by this notebook: https://www.kaggle.com/shabou/exploratory-analysis-of-cities-responses This datset is based on dataset provded by CDP challenge: https://www.kaggle.com/c/cdp-unlocking-climate-solutions
Inspiration
Multivariate analysis of cities' KPIs
Cities culstering based on the proposed KPIs
This page was built for dataset: CDP-Challenge-Cities-KPI
