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author:

Yanqun, Yang (Yanqun, Yang.) [1] (Scholars:杨艳群) | Qinwei, Huang (Qinwei, Huang.) [2] | Meiling, Xu (Meiling, Xu.) [3] | Sheng, Yu (Sheng, Yu.) [4]

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EI Scopus

Abstract:

Stone path is usually seen in places such as campus, park, scenic spots, etc.; And this study is about stone path with gradient smaller than 1%. The pavement of stone path is closely related to the characteristics of pedestrian walking. Therefore, the author collects 306 valid samples by studying the stone paths and the characteristics of the students in a university, and analyze their influencing factors including the gender, height, single/multi-walker, weight-bearing status, personality analysis, etc., obtaining the reasonable pedestrian stride and its main factors affecting it by variance analysis. According to the reasonable pedestrian stride, the author also designs the pavement parameters such as the slate width, spacing of slates, and the center-to-center spacing of two adjacent slates, etc. At last, the author verifies the conclusion of the paper by Electroencephalograph (hereinafter EEG) experiment, proving that these pavement parameters are worthy of reference. © 2017 Taylor & Francis Group, London.

Keyword:

Artificial intelligence Electroencephalography Pavements Slate

Community:

  • [ 1 ] [Yanqun, Yang]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Qinwei, Huang]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Meiling, Xu]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Sheng, Yu]College of Civil Engineering, Fuzhou University, Fuzhou, China

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Year: 2017

Page: 461-467

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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