Participatory modelling: precedents and prospects for civil engineering

IF 1.7 3区 工程技术 Q3 ENGINEERING, CIVIL
Bryann Avendano-Uribe, M. Milke, D. Castillo-Brieva
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引用次数: 1

Abstract

ABSTRACT This work provides an analysis for the civil engineering community of the practice of participatory modelling (PM), reviewing the advances that environmental researchers and practitioners have made over 20 years, providing key references, case studies, and practical guidelines. Past consultation methods have proven inadequate to build trust with communities, and have led to development of PM to improve engagement. Three lessons from PM are emphasised: (1) listen to stakeholders to better understand the system, (2) collaborate with stakeholders to better model the system, and (3) co-decide on actions to better empower and engage stakeholders. Advice on the key aspects to consider when designing a PM process is summarised. The challenges and obstacles to progress are analysed for PM in civil engineering applications. PM appears to be of greater value in larger projects involving complex socio-technical systems. The incorporation of PM within civil engineering work will be more useful to society when civil engineers understand better the operation of PM.
参与式建模:土木工程的先例与前景
这项工作为土木工程界的参与式建模(PM)实践提供了分析,回顾了环境研究人员和实践者在20多年来取得的进展,提供了关键参考,案例研究和实践指南。过去的咨询方法已被证明不足以与社区建立信任,并导致PM的发展,以提高参与。从项目管理中得到的三个教训被强调了:(1)听取利益相关者的意见,以更好地理解系统;(2)与利益相关者合作,以更好地为系统建模;(3)共同决定行动,以更好地授权和参与利益相关者。总结了在设计PM过程时要考虑的关键方面的建议。分析了土木工程项目管理在土木工程应用中的挑战和障碍。项目管理似乎在涉及复杂社会技术系统的大型项目中具有更大的价值。当土木工程师更好地理解项目管理的运作时,将项目管理纳入土木工程工作将对社会更有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Civil Engineering and Environmental Systems
Civil Engineering and Environmental Systems 工程技术-工程:土木
CiteScore
3.30
自引率
16.70%
发文量
10
审稿时长
>12 weeks
期刊介绍: Civil Engineering and Environmental Systems is devoted to the advancement of systems thinking and systems techniques throughout systems engineering, environmental engineering decision-making, and engineering management. We do this by publishing the practical applications and developments of "hard" and "soft" systems techniques and thinking. Submissions that allow for better analysis of civil engineering and environmental systems might look at: -Civil Engineering optimization -Risk assessment in engineering -Civil engineering decision analysis -System identification in engineering -Civil engineering numerical simulation -Uncertainty modelling in engineering -Qualitative modelling of complex engineering systems
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