Sustainable cities require a long term and integrated planning approach for utilities and infrastructures so that the investments to be made will help to assure population’s health, comfort and life quality. The dimensioning of sustainable urban infrastructure is typically based on a statistical assessment of historical environmental data – ambient temperature, rainfall, river runoff etc - that determines the risk for an extreme event to occur within a certain time period. Urban planners need models, statistical tools and input data to find an appropriate design of infrastructure projects that can resist also extreme environmental events.
A changed climate, with temperature increase and changes in e.g. precipitation and storm frequency, may invalidate the dimensioning calculation of larger – and therefore longer term – infrastructural projects. Climate services in the form of simulated future environmental conditions will be important input to urban planners that need to plan decades ahead.
For the Information and Communication Technology community it is a challenge to integrate the different tools and data needed for this type of future scenario evaluation in complex decision support but easy-to-use applications. The tools should be able to support with a large number of possible decision processes (generic). In addition, these tools should be usable by a wide range of end users that e.g. are not experts in statistical and numerical modelling but still need access to a multitude of models to consolidate momentous decisions, the results should furthermore be possible to easily integrate in urban planner’s day to day working environment.
This ISESS 2011 session invites you to present ideas, methods and already implemented tools that support urban planning of sustainable cities. The tools may or may not address planning under a changed climate. In particular the session welcomes modelling results of climate change and systems/services meant to present these often very extensive datasets. Future climate is here broadly interpreted as both the direct climate change (e.g. temperature and precipitation) and changes in other environmental data, e.g. air quality and hydrology, which will be affected by an altered climate.