Climate Frugility Assesment Calculation Weighting

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Climate Frugality Assessment Calculation Weighting

Understand and quantify your contribution to a sustainable future.

Climate Frugality Weighting Calculator

Enter your total electricity and heating fuel consumption for the year.
Public Transit Cycling/Walking Electric Vehicle Hybrid Vehicle Gasoline Vehicle Frequent Flights
Select your most common way of getting around.
Estimate the total distance traveled annually using your primary mode.
Vegan Vegetarian Pescatarian Low Meat High Meat
Choose the option that best describes your typical diet.
Estimate your total annual spending on goods and services (excluding major housing/transportation already accounted for).
Estimate the total weight of waste your household produces annually.

Your Climate Frugality Assessment

Energy Score (0-100)
Transport Score (0-100)
Diet Score (0-100)
Consumption Score (0-100)
Waste Score (0-100)
Formula Used: The Climate Frugality Assessment Weighting is calculated by scoring five key areas: Energy, Transportation, Diet, Consumption, and Waste. Each area is scored out of 100 based on its environmental impact relative to common benchmarks. These individual scores are then averaged to produce a final Climate Frugality Weighting. Lower scores indicate higher frugality (lower environmental impact).

Impact Distribution Breakdown

Distribution of your Climate Frugality scores across different impact categories.

What is Climate Frugality Assessment Calculation Weighting?

Climate frugality assessment calculation weighting refers to a method of evaluating and assigning numerical values to different aspects of an individual's or household's lifestyle that contribute to their environmental footprint. The core idea is to break down a complex issue – environmental impact – into manageable, quantifiable components, and then determine how much each component "weighs" in the overall assessment. This weighting allows for a more precise understanding of where an individual's impact is greatest, guiding efforts towards more sustainable choices. It's about making conscious decisions that minimize ecological harm while maintaining a reasonable quality of life, focusing on resource efficiency and reduced consumption.

Who should use it? Anyone interested in understanding and reducing their personal environmental impact. This includes individuals concerned about climate change, policymakers looking to develop targeted sustainability initiatives, educators teaching environmental science, and businesses aiming to assess the sustainability of their employees' lifestyles or their own operational impacts. It's particularly useful for those who want to move beyond generalized advice and identify specific areas for improvement.

Common misconceptions about climate frugality include the belief that it requires extreme deprivation or a return to a primitive lifestyle. In reality, climate frugality is about smart, efficient, and mindful consumption. It doesn't necessarily mean giving up modern conveniences but rather finding more sustainable alternatives or reducing unnecessary usage. Another misconception is that individual actions are insignificant; however, collective individual changes, driven by a clear understanding of their impact (through weighting), can create substantial systemic shifts.

Climate Frugality Assessment Calculation Weighting Formula and Mathematical Explanation

The Climate Frugality Assessment Calculation Weighting is derived from a multi-factor scoring system. Each factor is scored individually, and then these scores are averaged to provide an overall weighting. The goal is to assign a score out of 100 for each category, where a lower score represents greater climate frugality (i.e., lower environmental impact).

Scoring Methodology:

Each category is scored based on established benchmarks for environmental impact (e.g., CO2 emissions, resource depletion). The formula generally follows this pattern for each input:

Score = 100 - (Actual Impact / Benchmark Impact) * 100

This formula converts impact into a frugality score. For instance, if your actual energy consumption is half the benchmark, your score would be 100 – (0.5 * 100) = 50. If your impact is significantly lower than the benchmark, the score can approach 100. If it's higher, the score approaches 0.

Category-Specific Calculations:

  • Energy Score: Based on annual household energy consumption (kWh). Benchmarks vary by region, but a typical sustainable target might be 3,000-5,000 kWh/year for efficient homes. Higher consumption leads to a lower score.
  • Transportation Score: Calculated based on the primary mode and annual distance traveled. Modes like public transit, cycling, and walking have very low impact benchmarks, while frequent flights have extremely high ones. The score reflects emissions per km, adjusted for mode efficiency. A distance benchmark (e.g., 10,000 km/year) is used for comparison.
  • Diet Score: Based on dietary habits. Vegan diets have the lowest impact benchmark (lowest emissions/resource use), while high-meat diets have the highest. Scores are assigned based on typical footprint data for each diet type.
  • Consumption Score: Estimated based on annual spending on goods and services. Higher spending generally correlates with higher production emissions and resource use. Benchmarks are tied to average national consumption footprints.
  • Waste Score: Based on the amount of waste generated annually (kg). Lower waste generation (e.g., <150 kg/year) receives a higher score. Benchmarks reflect sustainable waste levels.

Overall Climate Frugality Weighting:

The final weighting is the average of the individual category scores:

Overall Weighting = (Energy Score + Transport Score + Diet Score + Consumption Score + Waste Score) / 5

Variables Table:

Variable Meaning Unit Typical Range / Basis
Energy Consumption Annual electricity and heating fuel usage. kWh e.g., 3,000 – 20,000+
Transportation Mode Primary method of travel. Category Public Transit, EV, Gasoline, Flights, etc.
Annual Travel Distance Distance covered by primary transport mode yearly. km e.g., 2,000 – 25,000+
Dietary Habits Typical food consumption patterns. Category Vegan, Vegetarian, High Meat, etc.
Consumption Spending Annual expenditure on goods & services. Local Currency Units (LCU) e.g., 5,000 – 50,000+
Waste Generation Total household waste produced annually. kg e.g., 50 – 500+
Energy Score Frugality score for energy use. 0-100 Lower score = higher impact
Transport Score Frugality score for transportation choices. 0-100 Lower score = higher impact
Diet Score Frugality score for dietary choices. 0-100 Lower score = higher impact
Consumption Score Frugality score for overall consumption. 0-100 Lower score = higher impact
Waste Score Frugality score for waste management. 0-100 Lower score = higher impact
Overall Weighting Average frugality score across all categories. 0-100 Represents overall climate frugality

Practical Examples (Real-World Use Cases)

Example 1: The Eco-Conscious Urban Dweller

Scenario: Sarah lives in a city apartment, primarily uses public transport and cycles, follows a vegetarian diet, has moderate energy consumption due to efficient appliances, consciously limits her purchases, and composts most of her organic waste.

Inputs:

  • Annual Energy Consumption: 4,500 kWh
  • Primary Transportation Mode: Public Transit/Cycling
  • Annual Travel Distance: 5,000 km (mostly cycling, some transit)
  • Dietary Habits: Vegetarian
  • Annual Consumption Spending: 15,000 LCU
  • Household Waste Generation: 100 kg/year

Calculation & Results:

  • Energy Score: ~80 (Below average consumption)
  • Transport Score: ~95 (Very low impact modes)
  • Diet Score: ~85 (Vegetarian diet)
  • Consumption Score: ~70 (Moderate spending, conscious choices)
  • Waste Score: ~85 (Low waste generation)
Overall Climate Frugality Weighting: (80 + 95 + 85 + 70 + 85) / 5 = 83

Interpretation: Sarah achieves a high Climate Frugality Weighting (83), indicating a significantly low environmental impact. Her transportation and diet choices are particularly strong contributors. While her consumption and energy use are good, there might be marginal improvements possible in optimizing energy efficiency further or slightly reducing consumption spending.

Example 2: The Suburban Family with Moderate Habits

Scenario: The Miller family lives in a suburban house. They rely on a gasoline car for commuting and errands, have a mixed diet with regular meat consumption, higher energy usage due to house size and climate control needs, average consumption spending, and generate a typical amount of household waste.

Inputs:

  • Annual Energy Consumption: 15,000 kWh
  • Primary Transportation Mode: Gasoline Vehicle
  • Annual Travel Distance: 20,000 km
  • Dietary Habits: High Meat
  • Annual Consumption Spending: 30,000 LCU
  • Household Waste Generation: 400 kg/year

Calculation & Results:

  • Energy Score: ~30 (Above average consumption)
  • Transport Score: ~20 (High impact gasoline vehicle, high distance)
  • Diet Score: ~15 (High meat consumption)
  • Consumption Score: ~40 (Average spending)
  • Waste Score: ~25 (High waste generation)
Overall Climate Frugality Weighting: (30 + 20 + 15 + 40 + 25) / 5 = 26

Interpretation: The Miller family's weighting is 26, indicating a relatively high environmental impact. Their transportation, diet, and waste generation are the most significant areas for improvement. Reducing meat intake, opting for more fuel-efficient travel or exploring electric vehicle options, and implementing better waste reduction strategies would substantially improve their score. Addressing energy consumption in their home is also crucial.

How to Use This Climate Frugality Assessment Calculator

Our Climate Frugality Assessment Calculator is designed to be straightforward. Follow these steps to get your personalized weighting:

  1. Gather Your Data: Before using the calculator, collect approximate figures for your annual energy consumption (kWh), your primary mode of transport and how far you travel annually, your typical dietary habits, your annual spending on goods and services, and your household's waste generation in kilograms per year. Utility bills, travel logs, and personal finance records can help.
  2. Input Your Information: Enter the gathered data into the corresponding fields in the calculator. Be as accurate as possible for the most meaningful results. Select your primary transportation mode and dietary habits from the dropdown menus.
  3. Calculate: Click the "Calculate Weighting" button. The calculator will process your inputs instantly.
  4. Understand Your Results:
    • Primary Result: The large, highlighted number is your Overall Climate Frugality Weighting (out of 100). A higher number means you are living more frugally concerning the climate. Aim for scores above 70.
    • Intermediate Scores: The scores for Energy, Transportation, Diet, Consumption, and Waste show you which areas contribute most to your overall impact. Use these to identify your strengths and weaknesses.
    • Formula Explanation: Read the brief explanation to understand how the scores are calculated and what they represent.
    • Chart: The chart visually breaks down the contribution of each category to your overall score, making it easy to see where your impact lies.
  5. Decision-Making Guidance: Use the results to inform your lifestyle choices. If your transport score is low, consider alternatives to driving alone in a gasoline car. If your diet score is low, explore incorporating more plant-based meals. Focus your efforts on the areas with the lowest scores for the biggest positive impact.
  6. Reset and Refine: Use the "Reset" button to start over with new data or adjust your inputs to see how changes affect your score. The "Copy Results" button allows you to save or share your assessment details.

Key Factors That Affect Climate Frugality Results

Several factors significantly influence your Climate Frugality Assessment Weighting. Understanding these helps in making more impactful changes:

  1. Energy Efficiency and Source: The amount of energy consumed (kWh) is critical. Beyond consumption, the *source* of energy matters immensely. Using electricity generated from renewable sources (solar, wind) drastically reduces the impact compared to fossil fuels, even for the same kWh usage. This affects the 'Energy Score'.
  2. Transportation Mode and Efficiency: The type of vehicle (electric vs. gasoline), its fuel efficiency (MPG or kWh/km), and the distance traveled are paramount. Choosing public transit, cycling, or walking over private vehicles significantly boosts the 'Transport Score'. Flying, especially long-haul, has a disproportionately large carbon footprint.
  3. Dietary Choices and Food Systems: Meat production, particularly beef and lamb, is resource-intensive (land, water) and generates significant greenhouse gases (methane). Plant-based diets generally have a much lower environmental footprint. Factors like food miles (distance food travels) and farming methods also play a role, impacting the 'Diet Score'.
  4. Consumption Patterns and Product Lifecycles: The volume and type of goods and services consumed are major drivers of environmental impact. Manufacturing, transportation, and disposal of products all contribute to emissions and resource depletion. Buying less, choosing durable goods, repairing items, and opting for second-hand products all improve the 'Consumption Score'. This is closely linked to the concept of a circular economy.
  5. Waste Generation and Management: The amount of waste sent to landfills contributes to methane emissions and resource loss. Reducing, reusing, and recycling (in that order) are key to minimizing this impact. Composting organic waste further reduces landfill burden. This directly influences the 'Waste Score'.
  6. Household Size and Type: Larger homes generally require more energy for heating and cooling. More occupants in a household can increase overall consumption, but per-capita impact might decrease if resources are shared efficiently. The calculation implicitly averages impacts across the household based on reported figures.
  7. Geographic Location and Climate: Heating and cooling needs vary significantly by climate. Living in a colder or hotter region might necessitate higher energy consumption for maintaining comfortable temperatures, impacting the 'Energy Score', unless highly efficient insulation and systems are in place.

Frequently Asked Questions (FAQ)

Q1: What does a "weighting" of 100 mean in this calculator?

A: A weighting of 100 represents the highest possible climate frugality, meaning the lowest possible environmental impact based on the assessment criteria and benchmarks used. It signifies very sustainable lifestyle choices.

Q2: Is this calculator scientifically precise?

A: This calculator provides an estimate based on widely accepted environmental impact data and averages. Individual circumstances can vary, and precise measurement would require detailed life cycle assessments for every item consumed. It's a tool for understanding relative impact and identifying areas for improvement.

Q3: My transportation score is very low. What can I do?

A: Focus on reducing reliance on high-emission transport. Consider carpooling, using public transport, cycling, walking, or switching to a more fuel-efficient vehicle like a hybrid or electric car. For unavoidable travel, explore carbon offsetting programs.

Q4: How does my diet affect my climate frugality score?

A: Dietary habits have a significant impact. Meat and dairy production are generally more resource-intensive and produce more greenhouse gases than plant-based foods. Shifting towards vegetarian, vegan, or even just reducing meat consumption can substantially improve your diet score and overall weighting.

Q5: My consumption spending is high, but I buy sustainable products. How does this affect my score?

A: While buying sustainable products is excellent, the sheer volume of consumption still has an environmental cost (manufacturing, transport, packaging). This calculator's consumption score primarily reflects spending volume. Prioritizing needs over wants, buying durable goods, repairing, and choosing second-hand options can lower the impact even with significant spending.

Q6: Can I use this for my business?

A: This calculator is designed for personal or household assessments. While principles apply, a business assessment would require different metrics (e.g., Scope 1, 2, 3 emissions, operational efficiency, supply chain impacts) and a more complex methodology.

Q7: What are the benchmarks used in the calculation?

A: Benchmarks are derived from reputable sources such as the UN IPCC reports, EPA data, academic studies on life cycle assessments, and global averages for sustainable living targets. These benchmarks represent environmentally responsible targets for each category.

Q8: How often should I update my assessment?

A: It's beneficial to update your assessment annually or whenever you make significant lifestyle changes (e.g., purchasing an electric vehicle, changing your diet, moving to a new home). This helps track progress and identify new areas for improvement.

Related Tools and Internal Resources

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var energyConsumptionInput = document.getElementById("energyConsumption"); var transportationModeInput = document.getElementById("transportationMode"); var annualTravelDistanceInput = document.getElementById("annualTravelDistance"); var transportationDistanceGroup = document.getElementById("transportationDistanceGroup"); var dietaryHabitsInput = document.getElementById("dietaryHabits"); var consumptionLevelInput = document.getElementById("consumptionLevel"); var wasteGenerationInput = document.getElementById("wasteGeneration"); var energyConsumptionError = document.getElementById("energyConsumptionError"); var transportationModeError = document.getElementById("transportationModeError"); var annualTravelDistanceError = document.getElementById("annualTravelDistanceError"); var dietaryHabitsError = document.getElementById("dietaryHabitsError"); var consumptionLevelError = document.getElementById("consumptionLevelError"); var wasteGenerationError = document.getElementById("wasteGenerationError"); var primaryResultDisplay = document.getElementById("primaryResult"); var energyScoreDisplay = document.getElementById("energyScore"); var transportScoreDisplay = document.getElementById("transportScore"); var dietScoreDisplay = document.getElementById("dietScore"); var consumptionScoreDisplay = document.getElementById("consumptionScore"); var wasteScoreDisplay = document.getElementById("wasteScore"); var impactChart; var chartContext = document.getElementById("impactChart").getContext("2d"); // — BENCHMARKS (These are illustrative and can be adjusted) — var BENCHMARKS = { energy: { target_low: 3000, ideal_max: 6000, impact_high: 15000 }, // kWh/year transport: { public_transit: 5, // Relative impact score per km cycling_walking: 1, electric_vehicle: 30, // g CO2e/km (approx) hybrid_vehicle: 70, gasoline_vehicle: 120, frequent_flights: 250, // Very high impact, assumed for frequent long distance distance_benchmark: 15000 // km/year }, diet: { vegan: 10, // Relative impact score (lower is better) vegetarian: 20, pescatarian: 35, low_meat: 50, high_meat: 80, diet_benchmark: 40 // Avg score for comparison }, consumption: { ideal_max: 10000, impact_high: 40000 }, // LCU/year waste: { ideal_max: 100, impact_high: 400 } // kg/year }; function validateInput(inputElement, errorElement, minValue, maxValue) { var value = parseFloat(inputElement.value); var isValid = true; errorElement.textContent = ""; if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; isValid = false; } else if (value < 0) { errorElement.textContent = "Value cannot be negative."; isValid = false; } else if (minValue !== undefined && value maxValue) { errorElement.textContent = "Value is too high."; isValid = false; } // Specific checks for transportation distance if (inputElement.id === 'annualTravelDistance') { var mode = transportationModeInput.value; if (mode === 'cycling_walking' || mode === 'public_transit') { if (value > 7500) { // Arbitrary limit for these modes errorElement.textContent = "Distance seems high for this mode; consider if this is accurate."; // Allow calculation but flag } } } return isValid; } function calculateScore(currentValue, benchmark) { if (isNaN(currentValue)) return 0; // Handle NaN from previous step var score = 0; var lowEnd, highEnd; if (benchmark.target_low !== undefined && benchmark.impact_high !== undefined) { // Range-based scoring (e.g., energy, consumption, waste) lowEnd = benchmark.target_low; highEnd = benchmark.impact_high; if (currentValue = highEnd) { score = 0; } else { score = 100 – ((currentValue – lowEnd) / (highEnd – lowEnd)) * 100; } } else if (benchmark.diet_benchmark !== undefined) { // Diet score mapping var dietMap = benchmark; var inputDiet = dietaryHabitsInput.value; var impactValue = dietMap[inputDiet] !== undefined ? dietMap[inputDiet] : dietMap.high_meat; // Default to high meat if somehow missing score = 100 – (impactValue / dietMap.diet_benchmark) * 100; if (score 100) score = 100; // Ensure score doesn't go above 100 } else if (benchmark.distance_benchmark !== undefined) { // Transportation scoring var mode = transportationModeInput.value; var modeImpact = benchmark[mode]; if (modeImpact === undefined) modeImpact = benchmark.gasoline_vehicle; // Fallback var distance = parseFloat(annualTravelDistanceInput.value); if (isNaN(distance)) distance = benchmark.distance_benchmark; // Fallback var totalImpact = (modeImpact * distance) / 1000; // Scale down for simpler numbers var benchmarkImpact = (benchmark[mode] * benchmark.distance_benchmark) / 1000; if (benchmarkImpact === 0) benchmarkImpact = 1; // Prevent division by zero score = 100 – (totalImpact / benchmarkImpact) * 100; } else { // Default fallback or specific category logic if needed score = 50; // Neutral score } return Math.max(0, Math.min(100, Math.round(score))); // Clamp between 0 and 100 } function updateChart(scores) { if (impactChart) { impactChart.destroy(); } var labels = ['Energy', 'Transport', 'Diet', 'Consumption', 'Waste']; var dataValues = [ scores.energy, scores.transport, scores.diet, scores.consumption, scores.waste ]; // Invert scores for visualization: higher score = lower impact = greener color var invertedValues = dataValues.map(function(score) { return 100 – score; }); chartContext.canvas.parentNode.style.display = 'block'; // Ensure canvas is visible impactChart = new Chart(chartContext, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Environmental Impact (Lower = Better)', data: invertedValues, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color slightly transparent borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }, { // Second series – showing Frugality Score (Higher = Better) label: 'Climate Frugality Score (Higher = Better)', data: dataValues, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color slightly transparent borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, // Allows for custom height/width via CSS scales: { y: { beginAtZero: true, max: 100, title: { display: true, text: 'Score (0-100)' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Impact vs. Frugality Score Distribution' } } } }); } function calculateClimateFrugality() { var isValid = true; // Validate inputs if (!validateInput(energyConsumptionInput, energyConsumptionError, 0)) isValid = false; // Transportation mode doesn't need validation per se, but distance does if (transportationModeInput.value === 'gasoline_vehicle' || transportationModeInput.value === 'electric_vehicle' || transportationModeInput.value === 'hybrid_vehicle' || transportationModeInput.value === 'frequent_flights') { if (!validateInput(annualTravelDistanceInput, annualTravelDistanceError, 0)) isValid = false; } else { annualTravelDistanceError.textContent = ""; // Clear error if not applicable } if (!validateInput(consumptionLevelInput, consumptionLevelError, 0)) isValid = false; if (!validateInput(wasteGenerationInput, wasteGenerationError, 0)) isValid = false; if (!isValid) { primaryResultDisplay.textContent = "ERR"; energyScoreDisplay.textContent = "–"; transportScoreDisplay.textContent = "–"; dietScoreDisplay.textContent = "–"; consumptionScoreDisplay.textContent = "–"; wasteScoreDisplay.textContent = "–"; updateChart({ energy: 0, transport: 0, diet: 0, consumption: 0, waste: 0 }); // Reset chart return; } var energyConsumption = parseFloat(energyConsumptionInput.value); var transportationMode = transportationModeInput.value; var annualTravelDistance = parseFloat(annualTravelDistanceInput.value); var dietaryHabits = dietaryHabitsInput.value; var consumptionLevel = parseFloat(consumptionLevelInput.value); var wasteGeneration = parseFloat(wasteGenerationInput.value); // — Calculate Individual Scores — // Energy Score var energyScore = calculateScore(energyConsumption, BENCHMARKS.energy); energyScoreDisplay.textContent = energyScore; // Transportation Score var transportScore = 0; if (transportationMode === 'public_transit' || transportationMode === 'cycling_walking') { // These modes have intrinsically low impact and distance might be less critical for scoring weight transportScore = calculateScore(1, BENCHMARKS.transport[transportationMode]); // Pass a dummy value as distance isn't primary driver here } else { transportScore = calculateScore(annualTravelDistance, BENCHMARKS.transport); } transportScoreDisplay.textContent = transportScore; // Diet Score var dietScore = calculateScore(dietaryHabits, BENCHMARKS.diet); dietScoreDisplay.textContent = dietScore; // Consumption Score var consumptionScore = calculateScore(consumptionLevel, BENCHMARKS.consumption); consumptionScoreDisplay.textContent = consumptionScore; // Waste Score var wasteScore = calculateScore(wasteGeneration, BENCHMARKS.waste); wasteScoreDisplay.textContent = wasteScore; // — Calculate Overall Weighting — var overallWeighting = (energyScore + transportScore + dietScore + consumptionScore + wasteScore) / 5; primaryResultDisplay.textContent = Math.round(overallWeighting); var scores = { energy: energyScore, transport: transportScore, diet: dietScore, consumption: consumptionScore, waste: wasteScore }; updateChart(scores); } function resetCalculator() { energyConsumptionInput.value = 10000; transportationModeInput.value = "gasoline_vehicle"; updateTransportDistanceVisibility(); // Update visibility based on default mode annualTravelDistanceInput.value = 10000; dietaryHabitsInput.value = "high_meat"; consumptionLevelInput.value = 20000; wasteGenerationInput.value = 300; // Clear errors energyConsumptionError.textContent = ""; transportationModeError.textContent = ""; annualTravelDistanceError.textContent = ""; dietaryHabitsError.textContent = ""; consumptionLevelError.textContent = ""; wasteGenerationError.textContent = ""; calculateClimateFrugality(); // Recalculate with defaults } function updateTransportDistanceVisibility() { var mode = transportationModeInput.value; if (mode === 'public_transit' || mode === 'cycling_walking') { transportationDistanceGroup.style.display = 'none'; annualTravelDistanceInput.value = 0; // Reset distance if hidden } else { transportationDistanceGroup.style.display = 'flex'; } } function copyResults() { var resultText = "Climate Frugality Assessment Results:\n\n"; resultText += "Overall Weighting: " + primaryResultDisplay.textContent + "/100\n\n"; resultText += "Breakdown:\n"; resultText += "- Energy Score: " + energyScoreDisplay.textContent + "/100\n"; resultText += "- Transportation Score: " + transportScoreDisplay.textContent + "/100\n"; resultText += "- Diet Score: " + dietScoreDisplay.textContent + "/100\n"; resultText += "- Consumption Score: " + consumptionScoreDisplay.textContent + "/100\n"; resultText += "- Waste Score: " + wasteScoreDisplay.textContent + "/100\n\n"; resultText += "Assumptions:\n"; resultText += "- Energy Consumption: " + energyConsumptionInput.value + " kWh\n"; resultText += "- Primary Transportation: " + transportationModeInput.options[transportationModeInput.selectedIndex].text + "\n"; if (transportationModeInput.value !== 'public_transit' && transportationModeInput.value !== 'cycling_walking') { resultText += "- Annual Travel Distance: " + annualTravelDistanceInput.value + " km\n"; } resultText += "- Dietary Habits: " + dietaryHabitsInput.options[dietaryHabitsInput.selectedIndex].text + "\n"; resultText += "- Annual Consumption Spending: " + consumptionLevelInput.value + " LCU\n"; resultText += "- Household Waste Generation: " + wasteGenerationInput.value + " kg/year\n"; try { navigator.clipboard.writeText(resultText).then(function() { alert("Results copied to clipboard!"); }, function(err) { console.error("Failed to copy results: ", err); prompt("Copy results manually:", resultText); // Fallback for browsers without clipboard API }); } catch (e) { prompt("Copy results manually:", resultText); // Fallback for older environments } } // Event listeners energyConsumptionInput.addEventListener("input", calculateClimateFrugality); transportationModeInput.addEventListener("change", function() { updateTransportDistanceVisibility(); calculateClimateFrugality(); }); annualTravelDistanceInput.addEventListener("input", calculateClimateFrugality); dietaryHabitsInput.addEventListener("change", calculateClimateFrugality); consumptionLevelInput.addEventListener("input", calculateClimateFrugality); wasteGenerationInput.addEventListener("input", calculateClimateFrugality); // Initial calculation and chart setup document.addEventListener("DOMContentLoaded", function() { updateTransportDistanceVisibility(); // Set initial visibility calculateClimateFrugality(); // Initialize chart with placeholder data before first calculation var initialScores = { energy: 50, transport: 50, diet: 50, consumption: 50, waste: 50 }; updateChart(initialScores); primaryResultDisplay.textContent = "–"; // Reset to default before first calc });

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