Modelling and visualization behavior simulation in public open spaces based on MLP and SFM

IF 3.5 2区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Simulation Modelling Practice and Theory Pub Date : 2025-01-12 DOI:10.1016/j.simpat.2025.103076

Chunxia Yang, Mengxuan Liu, Zhaoxiang Fan

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引用次数: 0

Abstract

This research is grounded in the analysis of real human activity data in public open spaces (POS) and investigates the utilization patterns of 45 spatial segments and 121 subspaces within Shanghai's waterfront public areas. Employing a multi-layer perceptron neural network model, we explore the mechanisms by which 30 space, environmental, and facility factors influence various activities, including sightseeing, leisure, and sports. These findings are then integrated into a behavior simulation visualization system. Following a fitting and adjustment process, we validate the effectiveness of this behavior simulation system. The research outcomes reveal the robust performance of the multi-layer perceptron in predicting pedestrian activity in public spaces. Translating numerical predictive models into dynamic systems of behavioral simulation driven by social force model (SFM), we observe a relative error (RE) range of 0.041–0.158, with minimal loss of fit. Finally, through practical case testing, we illustrate the application of this behavior simulation workflow. The primary objective of this research is to provide predictive and scientific foundations based on human behavioral requirements for the design and optimization of POS, supporting human-centric and refined design decisions for urban landscape space.

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来源期刊

Simulation Modelling Practice and Theory 工程技术-计算机：跨学科应用

CiteScore

9.80

自引率

4.80%

发文量

142

审稿时长

21 days

期刊介绍： The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.