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Managing Parking Fees Based on Massive Parking Accounting Data

  • Yuichi Enoki
  • Ryo Kanamori
  • Takayuki Ito
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8862)

Abstract

As parking accounting data of automatic payment system is accumulated, a managing parking fees in accordance with characteristics of parking utilization is expected. The purpose of this paper is to analyze the characteristics of parking utilization from a big data and to propose a procedure of parking fee management by developing of a simple simulator from a history of parking utilization. In concrete terms, we classify 1,050 parking lots by cluster analysis and analyze influence of a charge revision on parking time by survival analysis from 22.5 million parking accounting data in the past year. Further, we consider the appropriateness of modified fee by estimating parking time with a hazard-based duration model.

Keywords

characteristics of parking utilization cluster analysis survival analysis 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yuichi Enoki
    • 1
  • Ryo Kanamori
    • 2
  • Takayuki Ito
    • 3
  1. 1.Department of Computer Science and Engineering, Graduate School of EngineeringNagoya Institute of TechnologyJapan
  2. 2.Institute of Innovation for Future SocietyNagoya UniversityJapan
  3. 3.School of Techno-Business Administration, Graduate School of EngineeringNagoya Institute of TechnologyJapan

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