Abstract
As an industrial revolution booms in Chile, the country’s air has been flooded by toxic emissions. Urban cities face the worst of the pollution, as factories are booming and urban centers are growing. Indeed, one of the main contributors towards the accumulation of PM2.5 are cars. Sharing trips may help reduce the number of private and public vehicles on the road and cut down on greenhouse gas emissions, travel time and individual costs. In this research I apply the concept of shareability networks to a survey of 113,591 of trips taken in the city of Santiago in Chile, showing that with increasing but still relatively low passenger discomfort, cumulative trip length can be cut by 50% or more. I quantify the benefit of ride sharing in terms of traffic and emission reduction. I finally show that the ride sharing potential is substantial, with nearly 100% of the trips shareable with current public transportation trip demand.
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Acknowledgments
I would like to thank Renata Mele and Daniela De Rosa from Enel Foundation for their support and assistance with this research study. I would also like to thank all the members of the MIT Senseable City Lab consortium for partially supporting this research and for providing the data for generating Fig. 6. I would like to thank the DISIT Lab of the Department of Information Engineering of the University of Florence for partially supporting this research.
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Appendix
Appendix
Maps of the most important zones in the terms of total number of trips. I show the top 10 zones for what concerns internal trips.
Frequency distribution of the communing time and the linear distance between origin destination points.
Cumulative frequency distribution of the travel distance extracted from Google Maps APIs between origin destination points.
Origin destination points in the area of city of Santiago (a)–(b) and in the gran Metropolitana Aerea (c)–(d).
Most important zones in terms of total extra-zones communing trips.
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Massaro, E. (2017). A Study of Ride Sharing Opportunities in the City of Santiago de Chile. In: Kompatsiaris, I., et al. Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10673. Springer, Cham. https://doi.org/10.1007/978-3-319-70284-1_13
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DOI: https://doi.org/10.1007/978-3-319-70284-1_13
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