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Space-time Network Analysis of Public Bicycle Use and its Visualization Using Spatial Network Autocorrelation

  • Journal of the Korean Cartographic Association
  • Abbr : JKCA
  • 2020, 20(1), pp.93-106
  • Publisher : The Korean Cartographic Association
  • Research Area : Social Science > Geography > Geography in general > Cartography
  • Received : March 28, 2020
  • Accepted : April 15, 2020
  • Published : April 30, 2020

KIMHUISOO 1 Kim, Youngho 1

1고려대학교

Accredited

ABSTRACT

Many countries are running public bicycle services to promote bicycle use. Bicycle, considered as an alternative transportation mode, is a way to take care of environmental problems and traffic jam. Seoul, in particular, is running public bicycle service “Ttareongyi” for 5 years so far. Ttareongyi is now considered as one of the major modes in short distance transportation. This study insists that Ttareongyi needs improvements to enhance efficient use. For the purpose, this study analyzes the temporal patterns and the network clusters of Ttareongyi use. Getis and Ord’s  statistic is expanded to network structure and applied to find network clusters. Bootstrap permutation is applied for significance test. The result identifies several significant network clusters in Ttareongyi use in Seoul. And local analysis presents clear contrasts in Ttareongyi uses among different times within a day. Conclusion suggests that differences in Ttareongyi use patterns in both temporal and spatial perspectives must be measured and reflected for more efficient and effective Ttareongyi operation

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