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Privacy-Aware Distributed Mobility Choice Modelling over Blockchain

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  • David Lopez
  • Bilal Farooq

Abstract

A generalized distributed tool for mobility choice modelling is presented, where participants do not share personal raw data, while all computations are done locally. Participants use Blockchain based Smart Mobility Data-market (BSMD), where all transactions are secure and private. Nodes in blockchain can transact information with other participants as long as both parties agree to the transaction rules issued by the owner of the data. A case study is presented where a mode choice model is distributed and estimated over BSMD. As an example, the parameter estimation problem is solved on a distributed version of simulated annealing. It is demonstrated that the estimated model parameters are consistent and reproducible.

Suggested Citation

  • David Lopez & Bilal Farooq, 2019. "Privacy-Aware Distributed Mobility Choice Modelling over Blockchain," Papers 1908.03446, arXiv.org, revised Aug 2019.
  • Handle: RePEc:arx:papers:1908.03446
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    References listed on IDEAS

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    1. Pike, Susan & Lubell, Mark, 2018. "The conditional effects of social influence in transportation mode choice," Research in Transportation Economics, Elsevier, vol. 68(C), pages 2-10.
    2. Barff, Richard & MacKay, David & Olshavsky, Richard W, 1982. "A Selective Review of Travel-Mode Choice Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 370-380, March.
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