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30.04.2016
We appreciate all contributions given to support the National Federation of the Blind at both the local level and nationally.  The following donors have made a significant contribution to the National Federation of the Blind of Idaho. The warehouse interfaces and addresses the interdependencies between the modules and the parameters. Participatory urban planning for a cross-disciplinary assessment needs interactive tools to merge visualisation and simulation provided feedback with the insights of the case study stakeholders. The objectives of the ‘Visualization and Interaction Frontend’ work package are: (a) the implementation of a procedural model with 3D city model and information visualization capabilities, (b) an interaction frontend for real-time city modelling for participatory assessments, which will provide direct feedback in a user-friendly manner as inputs for the simulation modules. A procedural urban model offers several advantages compared to common analogue and digital city modelling approaches.
Such a procedural model can be used (a) to create high quality 3D city models efficiently, semi-automatically, (b) to create context-sensitive map-based or 3D information visualizations automatically and (c) to report computed and evaluated geometries.
The rule-based generation of urban geometries (buildings, streets, street furniture, vegetation) can be set up as context-sensitive geometry generating functions. Rather abstract simulation data, such as wind flow vectors, heat maps or temporal snapshots of agent-based traffic simulations can be easily integrated and visualized in understandable ways. Further generated GIS based city models can be queried in regard to generated instances (trees, cars), surfaces (facade materials) and volumes. These decision support tools are available through assessment workshops in the ETH Value Lab (figure above), a collaboration environment to visualize and assess various planning scenarios. The interaction frontend will provide activities such as expert explorative sessions for planning scenario evaluations, interdisciplinary participatory workshops and will be accessible for learning and educative activities with reference to system approaches covering climate mitigation or adaption techniques. The main objectives of the interaction frontend are: (a) the visualization of implementation strategies that pursue goals such as the 2000-Watt-Society or the 1-Ton-CO2-Society, (b) communication of key indicators to participants already during assessment workshops and (c) evaluation of various planning scenarios regarding optimization of urban environments and increase of urban quality.
The interactive vizualisation and analysis results (figures below) support the evidence-based decision-making with the community and end-users, saving costs and time, enabling the creation of a mutual vision, supporting a broad understanding and acceptance of final planning decisions. The learning work package deploy the individual modules in form of separated modelling tools in the real-world setting of the case study areas, to (a) optimise investments, facilitate community engagement, and (b) provide assessment feedback regarding the modelling tools and their validity in supporting the decision making process.
Ideally, the data schemes can be easily transferred to different case studies and pose in those way interesting business opportunities. This will enable the project to work at any time with consistent data, to have the warehouse enclosed both GIS based and geo-independent data. First stage synthesized serves as preconditions to run the different simulations data (e.g.


Modules get an assigned data frame containing all the relevant data for their computational tasks. Data is stored separately in open and closed access zones, accounting for different property rights and access roles.
Cloud based modelling and visualisation tools will strength the interaction and the data deployment.
For instance traffic modes, such as car movement can be easily placed in to the procedural model for visualization. The resulting model will serve as the shared ground for all modules, which need to access a city model based on n-dimensional (geometry and associated meta data) rule-based reconstruction. It is used for the central aggregation of several visualizations and the creation of user-based model feedbacks – either derived from simulation modules or through the visualization platform.
The ETH Value Lab combines hardware, software and interaction to further visual insights from experts to stakeholders in a (lay) user-friendly computer environment.
An important notion will have the integration of current web-based social networks, which can be leveraged to certain extend for participatory planning and for public referendum.
This module serves further as an integrative evaluation part where all the systemic interdependencies within urban environments will be investigated. Please take the time to do business with these fine Idaho businesses who have given so generously and thank them for all they do to support opportunities for blind Idahoans.
They need to be cumulated with regional knowledge from the case studies and will be stored as regional adaption rules for describing local specifics and identities. Specification will be implemented, which data need to be exchanged with other modules and which data can be stored for each module within a storage pool with temporal snapshot capabilities. Additionally, sensitive data and simulations are hidden, and only the outcomes are visible for the normal end-user.
The procedural model further serves as a central input for the cloud based data- and visualization-platform. It consists of interdependent modular decision support tools for the cross-sectoral, multi-scale planning, management and operation of existing cities.
This module will give direct feedback on customer requirements, practicalities and learning modes, which needed to be fed into the progressed development of each simulation module. This data will be assigned geographically and therefore allow for interchange for instance with agent based models.


Rules are especially relevant for the city development module, but essentially affecting all modules.
A software-based management tool, which will be accessible from the web-based front end (WP 2), (re-) starts the modules iteratively until convergence or divergence is reached.
Because of its rule-based nature parts of model can be generated on the fly and efficiently iterated as well mixed with existing fixed modelling data sets. Hence the evaluation work package additionally contains the organization and realisation of workshops for learning scenario-based climate adaptation and mitigation strategies along with interactive and satisfactory balancing of the urban development path parameters. Furthermore, second stage data (results of the simulations) is stored in the warehouse, making them available for other modules, or for visualization purposes. A separate core component of the warehouse is the scenario management, which interfaces parameter values and input data to build up user-specific scenarios.
Therefore stakeholder workshops will be organized with the early adopters City of Zurich and City of London.
This feedback will be reported and incorporated into web-based front end (WP 2) in that form that parameters can be easily adjusted and parts of the calculations will be re-run with the modifications. Therefore, a key advantage of the warehouse is its modular and open architecture, in comparison to a fully integrated simulation platform, which would try to encompass the functionality of all current modules into one integrated simulation software. They will be web-based visualization and interaction services, which can be easily accessed from touch capable mobile devices, tablet PCs and (non mandatory) high-end workstations. This is necessary to organize and access time-dependent data when running the simulation for different simulated time periods or for interpreting and comparing the results between calculated scenarios and with census data. The design of the database will focus on minimizing data requirements for each module and to overcome low data availability, e.g. Climate relevant thresholds for visualization and comparison with obtained data are enclosed in the warehouse. A distinct investment will be made to create pre-computed template scenarios, which will support a fast role out to the final clients and enable on top of this fast data streams for flexible visualization possibilities.




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