Solutions

Summary

We are a startup that promotes carpooling in cities through a mobile application, allowing to citizens to save costs and improve the comfort of their journeys. Car seats are empty 90% of the time with an average occupancy rate of 1,3 people per car. We want to increase this occupancy rate.

GHG emissions from urban mobility in Spain are up to 35.1 million tons of CO2, (10% of total) of which 87% correspond to the car trips of individuals.

Our aim is to implement a solution to achieve a higher reduction of recurrent trips in private vehicles, increasing the occupancy rate of cars and then reducing significantly CO2 impact, traffic and noise pollution. This solution reduces the number of cars in circulation, reducing traffic jams, the negative effects of noise and emissions.

We are a mobility solution that offers a greater scope than the other existing options (carsharing, motosharing...), that are usually limited to certain areas. We want to work with those responsible for urban and regional planning, providing them all the information we can gather through our activity: main recurring routes at specific times, urban mobility according to age segments and geographic locations, areas with few mobility options.

Companies: We sell an alternative of mobility in which those employees (drivers) who share their car with other co-workers, are financially rewarded by the company, so that the rest of employees (passengers) can go for free.

This alternative is cheaper than other mobility alternatives for companies (bus fleet or transport pass), allows to reduce up to 75% of emissions caused by mobility and gives its employees many benefits: reduce commuting and parking time, improve relationship between coworkers and save cost.

The company may pay the driver in kind or through rewards integrated in the Human Resources policies already implemented by the companies: restaurant checks, free car-washes or parking space. If the drivers find them attractive, they would choose between being paid € 0.19 / km and a HR reward, or a combination of both. This reward model with human resources policies is totally flexible for each company. We adapt to the needs and HR policies of each company.

Universities: The passangers will pay € 0.19 / km to the drivers depending the distance of each commute. .

In cities such as Paris, it has been calculated that a vehicle used in a ride-sharing regime is capable of replacing between three and seven private vehicles, and of releasing between two and six parking spaces (Louvet, 2015).

The company Lyft Line announced that 90% percent of trips in San Francisco can be shared between users if they are willing to wait five minutes for them to match supply and demand.

In most big cities, around 70% of the users who use emerging services use multimodal models, in which the trip in the vehicle is preceded or continued by other means of transport (Louvet, 2015). As the applications that facilitate this multimodal planning obtain a greater use in different cities, this type of approach are susceptible to experience strong increases (Hepler, 2015). Given that most of these services represent a net improvement in terms of efficiency with respect to conventional models (European Commission, 2015), the final result in some of the cities in which studies have been carried out shows that it tends to increase not only the sustainability of the city, but also the consciousness collective and education around it. We attach a link of a calculator made by Martin Herraiz. It allows you to calculate what a person sharing a car can save.

https://docs.google.com/spreadsheets/d/14580-LNPHdOepRK3WIKS-sg9GGjNoFtsV4lRyF_SoCo/edit#gid

We are scalable: We can implement our solution anywhere through our app for drivers and passengers

We have our own commuting optimization algorithms

We can save up to 75% of emissions to a company

We allow citizens to save more money compare to other transport alternatives: cheaper for the passenger and allows drivers to save costs (more than 1000€/year)

We contribute to the 2030 sustainable development goals