Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Research on Traffic Organisation Design Strategies for Commercial Buildings Based on Depthmap and MassMotion

Authors
Langjie Xiao1, Daina Zhang1, Wei Cheng1, *
1School of Urban Construction, Wuhan University of Science and Technology, Wuhan, China
*Corresponding author. Email: pixel1549@outlook.com
Corresponding Author
Wei Cheng
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_19How to use a DOI?
Keywords
Pedestrian Clustering; Pedestrian Density; pedestrian simulation modelling; circulation space; commercial buildings
Abstract

In order to quickly predict people distribution and traffic behavior in commercial buildings and further provide the quantitative basis for traffic organization design, this paper presents the analysis of Pedestrian Clustering and Pedestrian Density under selected circulation spaces of a shopping mall in Wuhan (China) by applying the software: Depthmap and MassMotion. To compare the correlation and difference between the visualization graphs of the above two software, results show that using Depthmap and MassMotion alone or in combination can meet the different needs of each design phase.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_19
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_19How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Langjie Xiao
AU  - Daina Zhang
AU  - Wei Cheng
PY  - 2023
DA  - 2023/12/04
TI  - Research on Traffic Organisation Design Strategies for Commercial Buildings Based on Depthmap and MassMotion
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 169
EP  - 182
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_19
DO  - 10.2991/978-94-6463-304-7_19
ID  - Xiao2023
ER  -