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

Degree of hydration-based creep modeling of concrete with blended binders : from concept to real applications

The mechanical behavior of hardening concrete is to a large extent determined by the evolving microstructure as a result of the hydration process. For traditional binder systems, consisting of Portland cement or blast furnace slag cement, the degree of hydration is known to be a fundamental parameter in this respect, enabling a detailed study and accurate prediction of the early-age mechanical behavior, including basic creep. Nowadays, in view of improved sustainability of cementitious materials, binder systems tend to become more complex, consisting of a blend of different powders. As the hydration process and microstructure development are influenced by the inclusion of powders into the binder, the question is raised whether the degree of hydration concept is still applicable to concrete based on complex blended binder systems. In this paper, some experimental results are summarized and the application to real structures is illustrated. Basic creep of hardening concrete with complex blended binders can still be modeled following the degree of hydration concept

Thinking about Big Floods in a Small Country - Dutch Modelling Exercises

In this contribution we discuss new developments in Dutch thinking about the increasing risk of big floods. A first issue concerns the choice of methodology. Today several ones exist to assess the consequences of big natural catastrophes. These methodologies differ significantly in background philosophy, objective or scope. In the U.S., for example, several market-based approaches have been presented recently, focusing on short run disequilibria. Certain preferences seem to exist, depending on country and type of catastrophe we wish to study. Nonetheless, by and large the debate is still open, depending on what the country or region views as its major problem. It is questionable whether market-based approaches are fruitful for a small country with a large state influence, such as the Netherlands. Probably it is better to start from the notion of specific types of network disruptions in a highly developed and densely populated country. In this paper, we focus on the interdependencies between production and consumption activities. This leads to an investigation based on Input-Output (I-O) methodologies. A big flood then causes a series of disruptions in the existing production and consumption networks. Our paper addresses the point that I-O as it stands is not very appropriate. The basic problem is that I-O models stress interaction and equilibrium, while here we have to deal with disruption and disequilibrium. In our contribution, we model the consequences of a disaster where a part of the existing economic networks fails temporarily or forever. Several situations can be distinguished: after the disaster, many suppliers will have lost their customers. Vice versa, it also may be impossible to satisfy existing demand because the supplying firms cannot deliver any more. This means that the economy suddenly has to decide on the way its now restricted resources should be distributed. In fact, a major decision is asked for. Economic policy needs to steer the distribution of the available goods in intelligent ways between various categories of buyers and suppliers. In a pure market economy decisions made most likely will be different from those made in a heavily regulated country like the Netherlands. Our research is based on the basic hypothesis underlying I-O models, i.e. the need to distinguish between two major categories of destination, ‘final consumption’ (such as households, investment demand, government demands, exports), and ‘intermediate demand’ (basically all inputs into the industrial core of the country). Outcomes will be different according to the choices being made. One reason is the presence of multiplier effects, which reflect current interactions. A choice in favour of final demand will alleviate problems of the affected groups, but at the same time will increase inter-industry imbalances, and imply a heavy role for supporting import. The choice is not straightforward, and involves complex interrelations and interactions. In this paper we use regional I-O tables in combination with GIS-based techniques. In the empirical part of the paper we discuss the consequences of a large dike break in the central part of the country.

A Framework for Developing and Integrating Effective Routing Strategies Within the Emergency Management Decision-Support System, Research Report 11-12

This report describes the modeling, calibration, and validation of a VISSIM traffic-flow simulation of the San José, California, downtown network and examines various evacuation scenarios and first-responder routings to assess strategies that would be effective in the event of a no-notice disaster. The modeled network required a large amount of data on network geometry, signal timings, signal coordination schemes, and turning-movement volumes. Turning-movement counts at intersections were used to validate the network with the empirical formula-based measure known as the GEH statistic. Once the base network was tested and validated, various scenarios were modeled to estimate evacuation and emergency vehicle arrival times. Based on these scenarios, a variety of emergency plans for San José’s downtown traffic circulation were tested and validated. The model could be used to evaluate scenarios in other communities by entering their community-specific data