Efficient Mobility: Lessons on Dynamic Pricing and Sustainable Passenger Service

M Finck, M Lamping, V Moscon & H Richter (eds), Smart Urban Mobility – Law, Regulation, and Policy, MPI Studies on Intellectual Property and Competition Law (Berlin, Springer, 2020) Forthcoming

12 Pages Posted: 24 Feb 2020

See all articles by Martin Fries

Martin Fries

University of Munich - Center for International Law

Date Written: January 28, 2020

Abstract

The Internet of Things is increasingly delivering high-precision mobility data. This makes it possible to fine-tune the use of scarce mobility goods and services and thus achieve higher system efficiency. In the future, it will be feasible to put a price tag on even the smallest traffic areas and auction them off to the highest bidder. This enables congestion-free driving, search-free parking, and a trouble-free switch from road to rail and vice versa. Many contractual decisions will be made automatically on the basis of previously determined preferences, without the individual noticing anything. At the same time, the increase in data created in this system will also lead to new manipulation potential. A smart legislator will try to make the opportunities of the Internet of Things possible and limit the associated risks.

Keywords: Internet of Things, Auction structures, Big data, Data protection, Smart contracts, Efficiency, Sustainable mobility

JEL Classification: K12, K32, K33, K34, Q01, Q21, Q41, Q42, Q54, Q55, R41, R48

Suggested Citation

Fries, Martin, Efficient Mobility: Lessons on Dynamic Pricing and Sustainable Passenger Service (January 28, 2020). M Finck, M Lamping, V Moscon & H Richter (eds), Smart Urban Mobility – Law, Regulation, and Policy, MPI Studies on Intellectual Property and Competition Law (Berlin, Springer, 2020) Forthcoming, Available at SSRN: https://ssrn.com/abstract=3526752

Martin Fries (Contact Author)

University of Munich - Center for International Law ( email )

Veterinaerstr. 5
Munich, Bavaria 80539
Germany

HOME PAGE: http://www.jura.uni-muenchen.de/personen/f/fries_engel_martin/index.html

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
13
Abstract Views
132
PlumX Metrics