To expand the functionality of the given Python script to include integration with environmental impact data for each route and then select the one with the lowest impact, you'll need additional steps. This includes fetching carbon footprint data for each transportation mode used in the routes provided by the Google Maps Directions API. Since I cannot directly access or integrate live API data here, I'll outline a conceptual approach you can take:
Integrate Environmental Impact Data: After fetching routes from the Google Maps API, for each route, you would query an environmental impact API to get the carbon footprint. This could be based on the mode of transport, distance, and other factors provided in the route details.
Calculate Impact for Each Route: With the environmental impact data for each route, calculate the total carbon footprint. This might involve aggregating data for different segments of the route, considering factors like vehicle type, fuel efficiency, and traffic conditions.
Select the Lowest Impact Route: Compare the calculated impacts of all alternative routes and select the one with the lowest environmental impact.
Here's a pseudo code snippet illustrating these steps conceptually:
python
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import requests
def fetch_environmental_impact(route):
# Placeholder for fetching environmental impact data
# This function would interact with an environmental API
# and return the carbon footprint for the given route
return carbon_footprint
def get_eco_friendly_route(origin, destination):
# Existing code to fetch routes from Google Maps API
maps_api_url = "https://maps.googleapis.com/maps/api/directions/json"
params = {
'origin': origin,
'destination': destination,
'key': 'YOUR_API_KEY',
'alternatives': 'true'
}
response = requests.get(maps_api_url, params=params).json()
routes = response.get('routes', [])
lowest_impact_route = None
lowest_carbon_footprint = float('inf')
for route in routes:
# Assume a function to calculate environmental impact for the route
carbon_footprint = fetch_environmental_impact(route)
if carbon_footprint < lowest_carbon_footprint:
lowest_carbon_footprint = carbon_footprint
lowest_impact_route = route
return lowest_impact_route
# Example usage
origin = "Your Origin"
destination = "Your Destination"
route = get_eco_friendly_route(origin, destination)
print(route)
Remember, for a real implementation, you'd need access to an environmental impact API that can provide the carbon footprint based on detailed route information. You'd also need to handle API keys, rate limits, and data parsing based on the specific API's response structure.