A hidden Markov model to estimate dynamical pedestrian flows in a central commercial district

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  • SAITO Saburo
    Fukuoka University Institute of Quantitative Behavioral Informatics for City and Space Economy (FQBIC) Faculty of Economics, Fukuoka University
  • YAMASHIRO Kosuke
    Fukuoka University Institute of Quantitative Behavioral Informatics for City and Space Economy (FQBIC)
  • NAKASHIMA Takaaki
    Fukuoka University Institute of Quantitative Behavioral Informatics for City and Space Economy (FQBIC)

Bibliographic Information

Other Title
  • 隠れマルコフモデルによる地区間歩行者流動パターンの動的推定-福岡市都心部での大名・国体道路・今泉地区への適用-
  • カクレ マルコフ モデル ニ ヨル チク カン ホコウシャ リュウドウ パターン ノ ドウテキ スイテイ フクオカシ トシンブ デ ノ ダイミョウ コクタイ ドウロ イマ イズミ チク エ ノ テキヨウ

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Abstract

In most of Japanese commercial districts, pedestrian count surveys have often been conducted to count the numbers of pedestrians who pass through several streets in order to grasp the pattern of pedestrian flows in their district. While they are useful to compare pedestrian flows at different points of time if conducted regularly, the data obtained from such surveys have never been utilized further. This paper proposes to introduce a new method of the pedestrian count survey so that the data obtained from this method enables one to construct a hidden Markov model to estimate dynamical pedestrian flows on the streets in a commercial district. We also give an actual application of our method to the case of city center retail district at Fukuoka City and show that our method is effective enough to have wide applicability.

Journal

  • Studies in Regional Science

    Studies in Regional Science 34 (3), 69-90, 2003

    JAPAN SECTION OF THE REGIONAL SCIENCE ASSOCIATION INTERNATIONAL

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