A Methodology to Evaluate GHG Emissions for Large Sports Events
The analysis of GHG emissions should encompass a wide range of stakeholders connected to the sporting event. This includes not only the athletes themselves and the entire team but also the staff, coaches, and management attending the game. In addition, the referees and federation officials responsible for overseeing the match should be considered. It is also important to extend this analysis to include the visiting team and, significantly, the fans, both those supporting the home team and those cheering for the away team.
To provide a comprehensive evaluation of GHG emissions, we will examine various aspects related to these emissions, categorizing them as follows.
Category 1 focuses on evaluating the impact of the goods sold at an event, primarily food and beverages, in terms of CO2 emissions. The third category centers on the impact of energy production from all sources, both renewable and non-renewable, used to power the stadium and common areas. Category 5 shows how waste generation plays a significant role in this category. It includes waste produced by fans within the stadium during the match, as well as waste generated before and after the event in areas adjacent to and directly connected to the stadium. Category 6 is arguably the most critical category; it involves quantifying the movement and travel-related emissions. This encompasses the travel of the entire team and organization from their training facility to the stadium. For the visiting team, it involves calculating the journey from their training facility or meeting point in their home city, considering all modes of transportation used to reach the away stadium. Additionally, it takes into account how referees and officials reached the stadium, as well as how home and away fans made their way to the venue. It might also be valuable to include the travel impact of away fans. Importantly, the return journey should also be accounted for. Furthermore, for those coming from out of town, the environmental impact of overnight accommodation for both the visiting team and their fans should be included in the assessment.
We have chosen to exclude certain categories from our analysis, even though they are mentioned in the Reference Guide, such as Category 2 (Capital Goods), in order to focus on the short-term impact of these events. Additionally, Category 4 (Transportation and Upstream Distribution) has been omitted, as its components, such as distribution and upstream transportation, are not directly relevant to evaluating greenhouse gas emissions in a single sporting event. Similarly, Categories 14 (Franchises) and 15 (Investments) are other examples of categories that, within the context of our methodology, do not significantly affect the greenhouse gas emissions associated with a single sporting event.
Next, we will provide detailed numerical examples of greenhouse gas (GHG) emission calculations associated with sporting events. These practical examples will demonstrate the direct application of the introduced concepts, offering a clear and tangible understanding of the methodologies used.
In a subsequent phase, we will conduct a critical analysis, examining areas that have received little attention thus far but have a significant impact on sporting events. We find it interesting to highlight that, although several contributions have provided insights into specific areas, often, this has been limited to one or, at most, two dimensions. In our article, we aim to provide a comprehensive view by categorizing and analyzing even those elements that may have been overlooked or considered irrelevant. For example, we intend to examine in detail aspects such as spending on branded goods in Euros, ceremonial materials, merchandising materials, signage materials, and the environmental impact associated with spending in Euros on information and communication technologies, including cloud services. Our analysis aims to offer a more complete and detailed overview of the various environmental components involved in sports events.
This growing awareness among sporting organizations reflects a broader recognition of the importance of sustainable strategies among mega-event organizers. It signifies progress in understanding and addressing the environmental impact of these events, indicating a shift towards prioritizing environmental concerns.
In the field of scientific research, a significant body of literature focuses on the evaluation of carbon footprints associated with large-scale sporting events. These studies provide valuable insights into the environmental impact of such events. By carefully examining and analyzing selected examples from this extensive body of work, we intend to conduct a rigorous quantitative analysis that will shed light on the notable progress achieved in this particular field.
3. Technical Standards
In the context of current environmental awareness and the need to address climate change, the adoption of technical standards and ISO regulations for emissions management have become crucial elements for businesses and organizations worldwide. These standards and regulations play a key role in helping companies assess and reduce their environmental impact. In this section, we will explore the main concepts related to “carbon footprints”, classification into “scopes 1, 2 and 3”, and “GHG emissions”, while also reviewing the importance of the ISO standards, such as ISO 14001 and ISO 14064, which provide clear guidelines for implementing environmental management systems and measuring emissions. In this way, we will gain a comprehensive overview of the main technical and regulatory issues involved in emissions management and the adoption of environmental best practices.
Several countries and organizations have developed their own GHG accounting guidelines, such as DEFRA, the Carbon Trust in the United Kingdom, and the Environmental Protection Agency (EPA) in the United States. Registries and consultancies like the World Wildlife Fund Climate Servers and the California Climate Registry have formulated methodologies based on these guidelines.
The table presents a comprehensive overview of different scopes, namely Scope 1, Scope 2, and Scope 3. It highlights specific activities that demonstrate emissions from both direct and indirect sources, which can be either owned, purchased, or beyond the control of the company.
The data on GHGs are typically translated into CO2e using conversion factors provided by organizations like the Intergovernmental Panel on Climate Change (IPCC). Carbon footprint units vary depending on the entity being considered, with individuals and dynamic processes calculated periodically, while some entities, like events, have one-time emissions. Understanding and accounting for carbon footprints is a crucial step in environmental sustainability, with different entities using various units, like CO2e, to measure their impact. Carbon footprints are calculated periodically for individuals and dynamic processes, while some events, such as conferences and sports events, require one-time calculations.
When a company hosts an event, it is important to consider the fuel and electricity consumption that are not directly owned or controlled by the company. These types of consumption are typically included in Scope 3 emissions. Scope 3 emissions refer to the indirect emissions that are beyond the direct operational control of the organizing company. This categorization is based on greenhouse gas accounting protocols and standards.
4. Methodology for Calculating the Carbon Footprint of an Event
4.1. Definition of System Boundaries
The categories considered are Category 1 (purchased goods and services), Category 3 (fuel and energy-related activities), Category 5 (waste generated in operations) and Category 6 (business travel). In addition, the impact of accommodation, although not directly included in the guide, was considered in the study, as athletes and event participants often require lodging, making this impact relevant.
By presenting this sequence of impact categories, we gain a comprehensive understanding of the various aspects that contribute to the overall impact of the event.
There are various formulas that are presented in the following paragraphs, which are taken from the Technical Guidance for Calculating Scope 3 Emissions from Greenhouse Gas Protocol.
4.2. Purchased Goods and Services
This particular category encompasses all upstream emissions, from cradle-to-gate, related to the production of goods and services that have been purchased or acquired by the reporting company during the current reporting year. This includes both tangible products (goods) and intangible products (services).
Listed below are the methods that companies can utilize to calculate their Scope 3 emissions from purchased goods and services. The first two methods—supplier-specific and hybrid—necessitate the reporting company to gather data from their suppliers. On the other hand, the second two methods—the average-data and spend-based methods—utilize secondary data, such as industry average data. These methods are arranged based on the level of specificity they provide with regard to the individual supplier of a good or service.
Supplier-specific method: This collects product-level cradle-to-gate GHG inventory data from goods or services suppliers.
Hybrid method: This uses a combination of supplier-specific activity data (where available) and secondary data to fill the gaps.
Average-data method: This estimates emissions for goods and services by collecting data on the mass (e.g., kilograms or pounds) or other relevant units of goods or services purchased and multiplying by the relevant secondary (e.g., industry average) emission factors (e.g., the average emissions per unit of a good or service).
Spend-based method: This estimates emissions for goods and services by collecting data on the economic value of goods and services purchased and multiplying it by relevant secondary (e.g., industry average) emission factors (e.g., average emissions per monetary value of goods).
It is crucial to identify the calculation method that best suits the characteristics of the research. For the supplier-specific method and hybrid method, upstream data from suppliers is required, which is not easily obtainable. Moreover, it is often challenging to obtain precise data on the quantities consumed during the event, both by fans and athletes.
There are specific areas within the stadium dedicated to premium fans where meals are consumed in a restaurant, while standard fans can buy food or drinks from various points of sale.
Therefore, the average-data method and spend-based method are better suited to the research object, as they can be used with the quantity of goods sold based on financial or physical aspects.
The average-data method and spend-data method enable the calculation of the CO2e emissions resulting from the sale of goods and services using data that are easily accessible. In the following, we will provide a detailed analysis of the data required for the calculation process, as well as the emission factors necessary for both methods.
In the average-data method, the company collects data on the mass or other relevant units of purchased goods or services and multiplies them by secondary emission factors obtained from process-based life cycle inventory databases. To simplify the process, companies can differentiate purchased goods or services into mass units and other categories. The emission factors required for this method include the cradle-to-gate emission factors of the purchased goods or services per unit of mass or product, such as kg CO2e/kg or kg CO2e/hour spent.
CO2e emissions for purchased goods or services = ∑ (Mp × Ep)
Equation (1) calculates the amount of CO2e emissions from the sale of goods and services using the average-data method. The variable “M” represents the mass of goods or services purchased in kilograms [kg], while “p” belongs to the set P that represents each type of purchased goods or services. Finally, “E” represents the emission factor of each purchased goods or services “p” per unit of mass [kg CO2e/kg].
To calculate the CO2e emissions from purchased semi-finished components, the quantities of materials are multiplied by their respective emission factors. For example, the purchase of a 400 kg hard disk with an emission factor of 20 kg CO2e/kg contributes 8000 kg CO2e. By repeating this calculation for all purchased semi-finished components, the sum of emissions associated with the goods acquired by the company is obtained.
On the other hand, in cases where the supplier-specific method, hybrid method, and average-data method are not viable due to data limitations, companies can use the average spend-based method. This method involves collecting data on the economic value of purchased goods and services and multiplying it by the relevant EEIO emission factors.
CO2e emissions for purchased goods or services = ∑ (Vp × Ep)
Equation (2) calculates the amount of CO2e emissions from the sale of goods and services using the spend-based method. The variable “V” represents the value of goods or services purchased [USD], while “p” belongs to the set P that represents each type of purchased goods or services. Finally, “E” represents the emission factor of each purchased goods or service “p” per unit of economic value [kg CO2e/USD].
To calculate the CO2e emissions from purchased goods, we multiply the quantities/values purchased by their respective emission factors. For instance, the purchase of PS plastic for USD 5000 with an emission factor of 0.3 kg CO2e/USD contributes to 1500 kg CO2e. By repeating this calculation for all materials purchased, we obtain the total sum of emissions associated with the company’s purchases.
4.3. Fuel and Energy-Related Activities
In the context of a sports event, it is essential to consider the electricity consumption and sources utilized for the various activities involved in the event’s operations. While this consumption typically occurs within the stadium, it is important to note that stadium ownership is not always attributed to the sports clubs, especially in Italy, where they may not directly own the facilities.
Given this scenario, it becomes apparent that a separate category should be established to account for the fuel and energy-related activities specific to the event. This category acknowledges that the consumption in question takes place outside the sports clubs’ regular assets, such as administrative offices or sports centers, and within the stadium itself.
Recognizing the distinct nature of these consumption patterns enables a more comprehensive assessment of the event’s environmental impact and provides a foundation for targeted strategies aimed at reducing emissions associated with the event’s operations.
This category, however, excludes emissions resulting from the combustion of fuels or electricity consumed by the reporting company. The reason for this exclusion is that these emissions are already accounted for in Scope 1 or Scope 2. Scope 1 specifically includes emissions from the combustion of fuels by sources that are directly owned or controlled by the reporting company. On the other hand, Scope 2 includes emissions from the combustion of fuels used to generate electricity, steam, heating, and cooling, which are then purchased and consumed by the reporting company.
Listed below are the methods companies can use to calculate their Scope 3 emissions from upstream emissions of purchased fuels:
Supplier-specific method: This approach entails gathering data directly from suppliers regarding the upstream emissions associated with the extraction, production, and transportation of the fuel and electricity consumed by the reporting company.
Average-data method: This involves estimating emissions by utilizing secondary data, such as industry averages, to determine the emission factors for upstream emissions per unit of consumption.
If the supplier-specific method is used, companies must capture supplier-specific emission factors for the extraction, production, and transport per unit of fuel and electricity consumed. These emission factors must be specific to the type of fuel or electricity and the country or region of origin. They are usually expressed in units such as kilograms of CO2 equivalent per kilowatt hour [kg CO2e/kWh].
If the average-data method is chosen, companies must use average emission factors for the upstream emissions per unit of consumption. These emission factors are usually expressed in units such as kilograms of CO2 equivalent per kilowatt hour [kg CO2e/kWh].
CO2e emissions for electricity consumed = ∑ [(ELc × Ec) + (Sc × Ec) + (Hc × Ec) + (Cc × Ec) + (Fc × Ec)]
Equation (3) calculates the amount of CO2e emissions from the sale of electricity and fuel using the average-data method. The variable “EL” represents the quantity of electricity consumed [kWh], the variable “S” represents the quantity of steam consumed [kWh], the variable “H” represents the quantity of heating consumed [kWh], the variable “C” represents the quantity of cooling consumed [kWh], the variable “F” represents the quantity of fuel consumed [kWh], while “c” belongs to the set C that represents each type of variable consumed. Finally, “E” represents the combustion emission factor of each variable consumed [kg CO2e/kWh].
To further clarify Equation (3), let us provide an illustrative example using hypothetical values. Let us consider a facility that consumes 1000 kWh of electricity (EL), 200 kWh of steam (S), 150 kWh of heating (H), 80 kWh of cooling (C), and 50 kWh of fuel (F). By utilizing specific combustion emission factors (E) for each category, we can calculate the total CO2e emissions.
4.4. Waste Generated in Operations
Effective waste management at a sporting event holds paramount importance, as it exerts a substantial influence on various aspects, such as the environment, the event’s image, regulatory compliance, the promotion of recycling, and community involvement. By efficiently managing waste, we can unlock a multitude of environmental, economic, and social benefits.
Category 5 encompasses emissions resulting from the third-party disposal and treatment of waste generated within the reporting company’s owned or controlled operations during the reporting year. This category specifically accounts for emissions stemming from the disposal of both solid waste and wastewater.
Within a sporting event, various types of waste can be observed, which vary depending on the nature of the event, the type of sport being played, and the associated activities.
Companies employ different methodologies to calculate the emissions resulting from the waste generated in their operations but handled by third parties. These approaches aid companies in comprehending and documenting the environmental consequences linked to their waste management practices. Below, we outline several prevalent methods utilized in this regard:
Supplier-specific method: This process entails directly gathering waste-specific Scope 1 and Scope 2 emissions data from waste treatment companies, such as those involved in incineration or recovery for recycling.
Waste-type-specific method: This process entails utilizing emission factors tailored to specific waste types and waste treatment methods.
Average-data method: This process entails estimating emissions by considering the total waste directed towards various disposal methods, such as landfills, and utilizing average emission factors associated with each disposal method.
The supplier-specific method for calculating emissions from waste generated and managed by third parties entails gathering emissions data directly from waste treatment companies or service providers. This approach eliminates the need for relying on emission factors, as the reporting company obtains emissions information directly from its suppliers. By adopting this method, the reporting company ensures a more accurate and reliable assessment of its emissions footprint associated with waste management. When utilizing the supplier-specific approach to calculate emissions from waste generated and managed by third-party waste treatment companies, the reporting company must gather the allocated Scope 1 and Scope 2 emissions of the waste treatment company that can be directly attributed to the waste collected from the reporting company.
The waste-type-specific method necessitates companies to diligently gather crucial data regarding waste management practices within their operations. Specifically, they must collect information on the quantity of waste generated, typically measured in units such as tons or cubic meters, and categorize the waste by type. Moreover, for each distinct waste type, it is imperative to document the precise treatment or disposal method employed, such as landfilling, incineration, recycling, or other waste management processes. One notable aspect is that several waste operators determine their disposal fees based on the chosen waste disposal method. Consequently, companies can gain valuable insights into the specific disposal methods utilized by scrutinizing their utility bills from these waste operators. These bills often itemize charges based on the disposal approach, enabling companies to identify the specific methods applied to their waste streams. Furthermore, to accurately calculate the emissions associated with the waste-type-specific method, companies should compile specific emission factors tailored to each waste type and corresponding waste treatment methods. These emission factors should solely account for end-of-life processes, encompassing emissions generated during processes such as landfill decomposition, incineration, and recycling. It is essential to note that emission factors may also incorporate the emissions resulting from the transportation of waste materials.
CO2e emissions for waste generated in operations = Σ (Gw × Ew)
Equation (4) calculates the amount of CO2e emissions from the waste generated using the waste-type-specific method. The variable “G” represents the quantity of waste generated [tons or m3], while “w” belongs to the set W that represents each type of waste generated. Finally, “E” represents the waste type and waste treatment-specific emission factor [kg CO2e/ton or m3].
To calculate the emissions resulting from the waste generated in operations, the company, which produces plastic components, collects data on the various types of waste produced and their respective treatments. We then utilize specific emission factors for each type of waste. For instance, let us consider the waste type “plastic,” of which 2000 tons were produced, with an emission factor of 40 kg CO2e/ton if destined for landfill. The total emission for this waste type alone might amount to 80,000 kg CO2e. By repeating this calculation for all waste types, we obtain the overall sum of emissions associated with the waste generated by our company.
4.5. Business Travel
This category encompasses the emissions resulting from the transportation of employees for business-related activities in vehicles owned or operated by third parties, such as aircraft, trains, buses, and passenger cars. Emissions arising from transportation in vehicles owned or controlled by the reporting company are recorded under either Scope 1 (for fuel use) or, in the case of electric vehicles, Scope 2 (for electricity use). Emissions from leased vehicles operated by the reporting company, which are not included in Scope 1 or Scope 2, are accounted for under Scope 3, Category 8 (upstream leased assets). Additionally, emissions resulting from the transportation of employees to and from work are accounted for under Scope 3, Category 7 (employee commuting).
In order to accurately assess the environmental impact, it is crucial to consider the emissions generated by the transportation of employees for business-related purposes. These emissions primarily stem from the use of vehicles owned or operated by third parties, including aircraft, trains, buses, and passenger cars. By comprehensively considering these various categories, we can effectively evaluate and manage our transportation-related emissions, thereby contributing to our overall sustainability goals.
Emissions stemming from business travel can arise due to various factors as follows:
Other modes of travel.
Companies have the option to employ any of the subsequent approaches for calculating the Scope 3 emissions arising from business travel:
Fuel-based method: This involves quantifying the fuel consumption associated with business travel, specifically encompassing Scope 1 and Scope 2 emissions from transport providers. This approach necessitates the application of an appropriate emission factor corresponding to the specific type of fuel used.
Distance-based method: This entails determining the distance and mode of business trips and subsequently applying the suitable emission factor corresponding to the mode employed.
Spend-based method: This entails assessing the financial expenditure associated with various modes of business travel transportation and subsequently applying secondary emission factors derived from the environmental extended input–output (EEIO) analysis.
If data on fuel usage are not accessible, companies have the option to utilize the distance-based method. This method entails multiplying the activity data, such as the number of kilometers traveled by vehicle type, by emission factors. These emission factors are typically default national values specific to each vehicle type. It is important to note that vehicle types encompass all categories, including aircraft, rail, subways, buses, automobiles, and more. By employing this approach, companies can estimate the emissions even in the absence of fuel consumption data.
In order to effectively assess and manage transportation emissions, it is crucial for companies to gather accurate and comprehensive activity data. This data should encompass the total distance traveled by each mode of transport, including air, train, bus, and car, among others, throughout the reporting year. To ensure consistency and clarity, the activity data should be expressed in terms of kilometers traveled or kilometers traveled per person for a specific vehicle type, such as passenger kilometers.
CO2e emissions from business travel = Σ (Dv × Ev)
The variable “D” represents the distance traveled by vehicle type [vehicle-km or passenger-km], while “v” belongs to the set V, which represents each type of vehicle used for transportation. Finally, “E” represents the combustion emission factor of each vehicle considered [kg CO2e/vehicle-km or kg CO2e/passenger-km].
To calculate the emissions resulting from business travel, let us consider a group of five employees using hybrid cars for a 50 km trip in the United States. The emission factor for this hybrid car is 1 kg of CO2e per kilometer per vehicle, resulting in 50 kg of CO2e per passenger. By multiplying this value by the number of passengers, we obtain a total of 250 kg of CO2e for the entire trip. Let us now consider an example of air transport. A group of 10 individuals is assumed to embark on a long-haul flight covering a distance of 10,000 km. The emission factor for this flight is 5 kg of CO2e per passenger kilometer, resulting in a staggering 500,000 kg of CO2e in total. These examples effectively demonstrate the application of emission factors in quantifying carbon emissions for different modes of business travel.
The calculation of the impact of accommodations in assessing the CO2 impact at a major sporting event holds immense significance for several key reasons. To begin with, hospitality facilities, such as hotels, resorts, and lodging establishments, play a pivotal role in the ecosystem of a major sporting event. These venues not only cater to the athletes and staff involved in the organization but also accommodate thousands of spectators from across the globe. Hence, the CO2 emissions associated with the operation of these accommodation facilities can be substantial. When determining the country in which a hotel is situated, it becomes crucial to accurately calculate the carbon emissions linked to hospitality. This is primarily due to various factors, including the energy sources utilized, domestic energy production, environmental policies, and available technologies. Emission coefficients can vary significantly from one country to another, making it imperative to consider the specific location. Consequently, when tallying the activities, it is essential to account for the number of hotel nights for each individual participant. This ensures a comprehensive assessment of the carbon footprint generated by the event. By meticulously calculating the impact of accommodation, we gain valuable insights into the environmental implications of a major sporting event. This information enables us to develop effective strategies and implement sustainable practices to mitigate the CO2 emissions associated with hospitality. Ultimately, this contributes to the overall success and positive reputation of the event while also promoting environmental responsibility on a global scale.
CO2e emissions from the overnight stay in the users’ hotel = Σ (Hp × Ep)
The variable “H” represents the hotel nights for each individual person participating in the event [nights], while “p” belongs to the set P that represents each individual person. Finally, “E” represents the combustion emission factor for each hotel in individual nations [kg CO2e/night].
To calculate the CO2e emissions resulting from a five-person stay at a generic hotel in Italy for two nights, we simply multiply the number of nights by the emission factor for each person. With a conversion factor of 26.2 kg of CO2e per night, the total emissions for the five-person stay over two nights might amount to 261.2 kg of CO2e.
Current scientific research demonstrates remarkable expertise in categories related to transportation and accommodation in sports events. The analysis of waste and food and beverages is also emerging as a research theme. However, it is essential to highlight that the entire sports industry has experienced significant growth in recent years, introducing new variables to consider.
There is a tendency to focus on traditional categories, such as transportation and accommodation, while the increasing complexity of sports events requires the inclusion of other variables in the environmental assessment. For example, branded goods spending represents an important aspect, considering that several teams use specific materials for event sponsorship, such as center circles, club crests, and giant carpets. These elements require accurate reporting in terms of quantity (m2 or kg) and disposal methods.
It should be emphasized that some teams take advantage of sports events to market their own sports materials, such as shirts, sweatshirts, and hats. Proper reporting requires an evaluation of the quantities sold and a detailed composition of the items.
The evaluation method for elements such as merchandising and ceremonial objects can be attributed to Category 1. Regarding specific evaluation methodologies, as previously mentioned, there are several approaches, including the supplier-specific method, the hybrid method, the average-data method, and the spend-based method. The choice between these methodologies depends on the availability and coverage of the data at hand.
5.1. Limitations of the Methodology
The development of the research in this area is hindered by several limitations. One major challenge is the need for a large and reliable dataset to effectively utilize tools for the Carbon Footprint Report. This is a common issue faced by several studies, which often leads to increased assumptions.
Unfortunately, gathering information on all event-related consumption items is currently impossible. Specifically, data quality for the items tied to an event or region is often lacking, resulting in what is known as gray data.
However, with collaborations from teams or organizations, data retrieval can be facilitated, and several data points can be estimated based on the technical parameters of the event. For instance, waste production can be correlated with the number of participants and energy consumption can be estimated based on the size of the stadium. While we acknowledge these challenges, we see collaboration and data estimation as a means to overcome some of the current limitations, enabling a more comprehensive understanding and assessment of the environmental impact of events.
Another concern is the vagueness in reporting participant travel, which is a significant contributor to an event’s carbon footprint. To address this, standardization within the methodology can greatly enhance data accuracy. Providing detailed breakdowns of participant travel by transport type or utilizing participant registration data for impact calculations might strengthen reporting.
However, it is important to note that the calculated footprint does not take into account the displacement effects. For example, it fails to consider the reduced consumption by local residents in establishments during the event period. The complexity of carbon accounting and emissions inventories, without proper training, can lead to poor-quality data, underestimation of an event’s carbon footprint, and limitations in making direct comparisons across different categories.
Furthermore, the method used does not account for all visitor consumption during the event, such as water or hospital services. Additionally, it overlooks any displacement effects caused by the event, which further complicates the comprehensive assessment of its environmental impact.
These inherent limitations present significant challenges in accurately capturing and comparing the carbon footprint of events.
5.2. Possible Future Research Developments
Future research offers potential avenues to enhance our understanding and address the limitations identified in this study. One crucial area of focus can involve the development of specific emission factors for various accommodation categories. Recognizing the influence of participants’ chosen accommodations on the overall category impact might provide valuable insights. Educating participants about these impacts can potentially mitigate emissions from sporting events.
Furthermore, efforts to extend research initiatives are essential in equipping event managers with the necessary tools and insights to achieve potential GHG and energy savings. Replicating data collection efforts becomes pivotal in reducing uncertainties and strengthening the foundation of these initiatives.
The identified limitations present opportunities for future studies. Comparing carbon footprints across similar events held in diverse geographical locations can offer valuable insights. Exploring whether host cities with robust public transport systems influence low-carbon travel decisions and, subsequently, lower carbon footprints can be a compelling research avenue.
Additionally, exploring the influence on transportation choices can provide valuable insights. Investigating the efficacy of different incentives, such as free public transit or initiatives aimed at reducing individual emissions, in encouraging the adoption of sustainable transportation options stands as a promising area for future research.
Moreover, delving into participant and spectator profiles represents an essential shift in research focus. Previous studies have primarily focused on the separate environmental impacts of either participants or spectators, lacking an integrated approach that considers both groups simultaneously. Examining the profiles of both segments, particularly in large-scale events like running races, is crucial for a comprehensive understanding of their collective impacts.
We are nearing the completion of our preparations for validating our methodology for calculating greenhouse gas emissions in large sports events. This will be done through a case study involving a Serie A Italian football team in collaboration with a prominent European sports organization. This real-world application is aimed at refining and enhancing our approach, with the ultimate goal of creating a more sustainable sports industry.
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