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Boyd, D and Taft, A (2016) Identifying the Complex Information Requirements of Sustainable Drainage Systems. In: Chan, P W and Neilson, C J (Eds.), Proceedings 32nd Annual ARCOM Conference, 5-7 September 2016, Manchester UK. Association of Researchers in Construction Management, 729–738.
- Type: Conference Proceedings
- Keywords: multiple models, complexity, decision making, stakeholders
- ISBN/ISSN: 978-0-9955463-0-1
- URL: http://www.arcom.ac.uk/-docs/proceedings/13503cd2b98eab4dcf0c98f3bb2400ac.pdf
The management of water both for supply and removal is a growing concern of society. The primary purpose of sustainable drainage systems (SuDS) is to address the flow and volume of run-off from impermeable surfaces that are formed in the development of the built environment. SuDS involves a number of methods to store run off and release it in a controlled manner and to permit infiltration into the ground. This is often achieved through a ‘management train’ involving a number of methods arranged in a series and a number of landscape features such as basins, swales, permeable paving, grass filter strips, gravel strips and soil infiltration. Designing these effectively produces many benefits other than water removal including groundwater recharge, water resource, landscape enhancement and biodiversity. However, this requires addressing multiple objectives which make the problem extremely complex and involve the support of many disciplines and stakeholders. It has been proposed that infrastructure information modelling will make the design and management of SuDS easier and more robust. The current adoption of information perspective on SuDS is software led and simplifies the problems to landscape design and hydrology which fails to address the complex requirements and multiple objectives of SuDS. This paper seeks to identify the multiple and complex information requirements in the design and management of SuDS through a comprehensive literature review. It considers the different stakeholders and their particular information needs. It will show that each discipline has its own model and evaluative system which uses information differently and generates different interpretations. These differences are not acknowledged in current infrastructure information modelling which seek to automate the process in a single comprehensive model. The paper concludes that new forms of models need to be created based on these different information perspectives and which allow a more interactive design between stakeholders.