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Modelling human behaviour for improving infrastructure in Canada

Modelling human behaviour for improving infrastructure in Canada
模拟人类行为以改善加拿大的基础设施
批准号:
523432-2018
负责人:
Gales, JohnAdam
金额:
$0.58万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

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中文摘要
翻译
该研究项目的目标是为加拿大咨询从业者制定基于性能的消防设计(PBFD)指南,以了解人类行为及其在基础设施设计中的作用。由于不同的人口统计数据及其带来的不确定性,人类行为是一个复杂的主题。然而,使用行人行为建模技术,可以减少这些不确定性并将其纳入基础设施的设计中。该合作研究与开发 (CRD) 项目将由 ARUP 加拿大公司和约克大学合作开展。 ARUP Canada 是一家信誉良好的组织,通过开发行人建模软件 MassMotion 支持行人行为建模研究。 MassMotion 是一款正在开发的软件,旨在生成传统设计的替代解决方案,该解决方案可以结合复杂的人类行为并减少不确定性。该研究项目着眼于三种类型的基础设施:体育场馆、博物馆以及退休和长期护理院。每个基础设施都获得了人类行为数据,这些数据将被量化以用于 MassMotion 软件,以开发其在减少不确定性的情况下对人类行为进行建模的能力,特别是在这些结构类型中看到的工作人员与建筑居住者之间的相互作用。该项目的总体目标包括:(1)探索当前可用的行人运动建模软件(例如 MassMotion)的问题; (2) 评估三种类型的公共基础设施的设计,这些基础设施将容纳依赖于工作人员互动的不同人群(疗养院、博物馆、体育场); (3) 开发、验​​证和验证用于紧急疏散和日常正常进出操作场景的 MassMotion 软件; (4) 帮助建立适当的 PBFD 框架,以供考虑未来的加拿大国家建筑规范版本和其他北美规范和标准。****
英文摘要
The goal of this research project is to develop performance based fire design (PBFD) guidance for the Canadian consultancy practitioner to allow for the understanding of human behaviour and the role it has on the design of infrastructure. Human behaviour is a complex subject due to varied demographics and the uncertainties that they present. However, using pedestrian behaviour modelling techniques, these uncertainties can be reduced and incorporated in the design of infrastructure. This Collaborative Research and Development (CRD) project will be a collaboration between ARUP Canada and York University. ARUP Canada is a reputable organization which supports research of pedestrian behaviour modelling through the development of its pedestrian modelling software MassMotion. MassMotion is a software that is being developed to generate alternative solutions to traditional design that can incorporate complex human behaviour with reduced uncertainties. This research project looks at three types of infrastructure: stadiums, museums and retirement and long term care homes. Human behaviour data has been obtained for each infrastructure and this data will be quantified for use in the MassMotion software in order to develop its capabilities of modelling human behaviour with reduced uncertainty, particularly the interactions between staff and building occupants as seen in these structure types. The overarching objectives of the project are to include: (1) exploring issues with pedestrian movement modelling softwares that are currently available such as MassMotion; (2) assessing the designs of three types of common infrastructure which will house diverse populations dependent on staff interaction (care homes, museums, stadiums); (3) developing, validating and verifying MassMotion software for use in emergency evacuation and day-to-day normal ingress and egress operational scenarios; and (4) helping establish input for an appropriate framework for PBFD for consideration into future National Building Code of Canada editions and other North American codes and standards.****
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