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Optimized Environment Designing of Nanjing South Railway Station Based on Pedestrian Simulation

  • Ying CaoEmail author
  • Qijun Duan
  • Ning Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)

Abstract

The rapid development of China urbanization and smart transportation has promoted the optimized environment design research of Chinese railway station, while earlier rapidity construction and changing commerce operation based on original railway station have posed various contradictions of function, business and culture. This paper aims at proposing optimized environment design solutions based on pedestrian simulation as exemplified Nanjing South Railway Station, which is the largest railway junction station in Asia. In this paper, simulation experiment of passenger traffic is implemented to diagnose environmental problems, which is based on passengers’ behavioral patterns. Then, five kinds of optimized design solutions are proposed pointedly according to quantized conclusion of the simulation. In addition, a special ‘Optimized Simulation Sample’ System (a.k.a. OSS) of passenger traffic is established, for evaluating whether expected effects have been realized by using the framework of AnyLogic 7.0. In the end, the optimized environment designing is implemented based on pedestrian simulation. In this way, the existing environment problems of railway station can be identified precisely and optimized design solutions can be more effective.

Keywords

Pedestrian simulation Environment design Passenger behavior Nanjing South Railway Station 

Notes

Acknlowledgment

This research is supported by “the Social Science Foundation of Jiangsu Province” (Grant No. 15ZHD001), and funded by “2013 Research Initiation Project of Nanjing University of Science and Technology”.

References

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Design Arts and MediaNanjing University of Science and TechnologyNanjingChina

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