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Sports management
Sports & Recreation
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About
This dataset captures various metrics related to events, focusing on sustainability, resource efficiency, and social impact. It provides information about event characteristics, their environmental footprint, and community engagement levels, making it suitable for assessing the sustainability and impact of events across different scales and focus areas.
Dataset Features:
- S_ID Unique identifier for Sports management row.
- Energy Consumption: The level of energy usage during the event (Low, Moderate, High).
- Carbon Emissions: The amount of carbon emissions associated with the event (Low, Moderate, High).
- Waste Generation: The level of waste produced during the event (Low, Moderate, High).
- Community Engagement: The degree of involvement from the community (Low Engagement, Moderate Engagement, High Engagement).
- Volunteer Participation: Level of volunteer involvement in the event (Low, Moderate, High).
- Health Impact: The effect of the event on public health (Low Impact, Moderate Impact, High Impact).
- Water Usage: The level of water resources consumed during the event (Low, Moderate, High).
- Material Recycling Rate: The rate at which materials were recycled (Low, Moderate, High).
- Operational Cost Efficiency: The effectiveness in managing operational costs (Low Efficiency, Moderate Efficiency, High Efficiency).
- Event Scale: Classify the event size (local, regional, national).
- Event Focus: The primary focus or theme of the event (e.g., Community Development, Youth-Focused, Recreational, Health-Oriented).
- Sustainability Score: An overall assessment of the event’s sustainability (Low, Moderate, High).
- Social Impact Level: The extent of the event's influence on society (Low Engagement, Moderate Engagement, High Engagement).
- Resource Efficiency: The efficient utilization of resources during the event (Low Efficiency, Moderate Efficiency, High Efficiency).
- Event Type Classification: The classification of the event based on its purpose (e.g., Community Development, Recreational, Youth-Focused, Health-Oriented).
Usage:
This dataset is ideal for various applications, including:
- Sustainability Assessment: Evaluating the environmental and social sustainability of events.
- Predictive Modeling: Developing models to predict sustainability scores based on event features.
- Policy Development: Informing strategies to enhance the sustainability of events.
- Event Optimisation: Identifying areas for improvement in resource efficiency and impact.
Coverage:
The dataset covers a wide range of event characteristics, focusing on environmental impact, resource usage, and social engagement. It provides insights into best practices for sustainable event management and planning.
License:
CC0 (Public Domain)
Who Can Use It:
This dataset is intended for event planners, data scientists, environmental researchers, sustainability analysts, and students interested in studying event management and its impact on society and the environment.
How to Use It:
- Train machine learning models to predict sustainability scores or social impact levels.
- Conduct feature analysis to identify key factors influencing event efficiency and sustainability.
- Explore trends in event characteristics and their correlation with sustainability and impact metrics.
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