Digital modeling of the impact of the 1755 Lisbon earthquake

Toys have played a role in the development of 3D skills for architects. As a continuation of this, games, a subgenre of which are city building games, the father of all is SimCity, a variant of construction management games, underlay a socio-economic model. Outgoing from a general view of the role of toys and games in building the skills of architects, we focus on the modelling of the impact of earthquakes on urban areas. The particular case considered is Lisbon 1755, set into the context of related developments such as l'Aquila 2009 and Bucharest 1977. We examined the 3D modelling of the city, which can be the base for computer games, namely the GIS based, Google Earth and Second Life. For all these modells we filled forms which are provided in the annexes, to see the usability and potential improvements, which will be considered in the model we propose. The later builds a game with a socio-economic component, but both later ones have the social component of crowd sourcing participation. The Second Life concept can be extended with narratives of chance like in board games, to realise the immersion like in a novel in the historic time depicted, organising for example virtual events in the public space framework modelled. Different Levels of Detail are identified as necessary in order to on one side identify the landmarks of the image of the city in the perception of inhabitants and tourists and on the other hand to model populations of buildings for future economic studies, based on a structural mechanics instead of statistical approach. Outgoing from this analysis we propose an own concept to model the impact of the 1755 earthquake on Lisbon. We based our concept on the analysis of the space and time aspects in the memory of the pre-disaster city, and considered 72 landmark buildings which can be symbolically modeled as spaces, based on a 2D to 3D concept. Depending on where they were situated, these have been affected by the earthquake or not. We provide besides the overview of the literature on games for architecture on urbanism purposes also this one on memory. This includes on its side a game, for lessons learned in the identification of the landmarks of the city. Apart of the game, there is a guided tour with timeline and the 3D model in itself. Codes are provided. For the analysis we used different views of the city: eye-level, silhouette (from the river) and aerial. This can be the basis of a future augmented reality application including the 3D model and the photos/ engravings of the time. The socio-economic component will be based on the modeling of material resources necessary to retrofit or reconstruct, for the detailedly considered „pombalino” buildings. But first of all identifying the urban morphology through 3D modeling is serving as a basis for master planning, especially the strategic planning of the minimal urban structure, in both preventive pre-earthquake intervention and post-earthquake reconstruction, as aimed for in the „Lisbon in motion” workshop and planned related ones

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

The Development of a Temporal Information Dictionary for Social Media Analytics

Dictionaries have been used to analyze text even before the emergence of social media and the use of dictionaries for sentiment analysis there. While dictionaries have been used to understand the tonality of text, so far it has not been possible to automatically detect if the tonality refers to the present, past, or future. In this research, we develop a dictionary containing time-indicating words in a wordlist (T-wordlist). To test how the dictionary performs, we apply our T-wordlist on different disaster related social media datasets. Subsequently we will validate the wordlist and results by a manual content analysis. So far, in this research-in-progress, we were able to develop a first dictionary and will also provide some initial insight into the performance of our wordlist

Community Seismic Network

The article describes the design of the Community Seismic Network, which is a dense open seismic network based on low cost sensors. The inputs are from sensors hosted by volunteers from the community by direct connection to their personal computers, or through sensors built into mobile devices. The server is cloud-based for robustness and to dynamically handle the load of impulsive earthquake events. The main product of the network is a map of peak acceleration, delivered within seconds of the ground shaking. The lateral variations in the level of shaking will be valuable to first responders, and the waveform information from a dense network will allow detailed mapping of the rupture process. Sensors in buildings may be useful for monitoring the state-of-health of the structure after major shaking

Crowdsourcing User-Contributed Solutions to Aerospace Product Development Issues through Micro-Blogging

Revenue and production output of the United Kingdom’s Aerospace Industry (AI) is growing year on year and the need to develop new products and innovative enhancements to existing ranges is creating a critical need for the increased utilisation and sharing of employee knowledge. The capture of employee knowledge within the UK’s AI is vital if it is to retain its pre-eminent position in the global marketplace. Crowdsourcing, as a collaborative problem solving activity, allows employees to capture explicit knowledge from colleagues and teams and also offers the potential to extract previously unknown tacit knowledge in a less formal virtual environment. By using micro-blogging as a mechanism, a conceptual framework is proposed to illustrate how companies operating in the AI may improve the capture of employee knowledge to address production-related problems through the use of crowdsourcing. Subsequently, the framework has been set against the background of the product development process proposed by Maylor in 1996 and illustrates how micro-blogging may be used to crowdsource ideas and solutions during product development. Initial validation of the proposed framework is reported, using a focus group of 10 key actors from the collaborating organisation, identifying the perceived advantages, disadvantages and concerns of the framework; results indicate that the activity of micro-blogging for crowdsourcing knowledge relating to product development issues would be most beneficial during product conceptualisation due to the requirement for successful innovation