Towards an agile participatory urban soundscape planning framework

Jieling Xiao, Lisa Lavia and Jian Kang

Journal of Environmental Planning and Management, 2018, vol. 61, issue 4, 677-698

Abstract: This paper presents an agile participatory urban soundscape planning process model, which is proposed as a prerequisite on which to build and reference the efficacy of urban soundscape planning. The model was developed through data synthesis and analysis and mapping engagement with diverse stakeholders across four applied soundscape projects in Brighton and Hove, UK. To the best of the authors’ knowledge, the model is the first of its kind in applied soundscape practice. The data was collected through semi-structured interviews with key stakeholders and document analysis of published resources. The framework used for the analysis of the findings comprised four core urban planning stages: goals and objectives, engagement (e.g. prediction/modelling/design/planning), implications, evaluation. The study found that when integrating soundscape planning with core urban planning stages it was necessary to first identify the appropriate stakeholders in relation to the project context. It was found that these stakeholders could be wide-ranging and unexpected, thereby reinforcing the appropriateness of incorporating an agile approach in the resulting model. The study also found that users’ perceptions are central to soundscape practice and need to be considered at each stage of a planning process to produce an effective and sustainable outcome. A variety of specific events, appropriate to the requirements of the stakeholders, are important for engaging planning authorities, users and other stakeholders at different stages. This study also demonstrated that an evidence-based evaluation method is recommended in an agile participatory urban soundscape planning process to assess stakeholders’ engagement at each stage and to inform and guide subsequent steps in the planning process relevant to the local context(s).

Date: 2018
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DOI: 10.1080/09640568.2017.1331843

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