Browsing by Keyword "Public Administration"
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Item Data Harvesting, Curation and Fusion Model to Support Public Service Recommendations for e-Governments(SciTePress, 2018-01) Sedrakyan, Gayane; De Vocht, Laurens; Alonso, Juncal; Escalante, Marisa; Orue-Echevarria, Leire; Mannens, Erik; Hammoudi, Slimane; Pires, Luis Ferreira; Selic, Bran; HPA; CIBERSEC&DLT; Tecnalia Research & InnovationThis work reports on early results from CITADEL project that aims at creating an ecosystem of best practices, tools, and recommendations to transform Public Administrations with more efficient, inclusive and citizen-centric services. The goal of the recommendations is to support Governments to find out why citizens stop using public services, and use this information to re-adjust provision to bring these citizens back in. Furthermore, it will help identifying why citizens are not using a given public service (due to affordability, accessibility, lack of knowledge, embarrassment, lack of interest, etc.) and, where appropriate, use this information to make public services more attractive, so they start using the services. While recommender systems can enhance experiences by providing targeted information, the entry barriers in terms of data acquisition are very high, often limiting recommender solutions to closed systems of user/context models. The main focus of this work is to provide an architectural model that allows harvesting data from various sources, curating datasets that originate from a multitude of formats and fusing them into semantically enhanced data that contain key performance indicators for the utility of e-Government services. The output can be further processed by analytics and/or recommender engines to suggest public service improvement needs.Item Estimating the resilience of, and targets for, a transport system using expert opinion(2021-12) Martani, Claudio; Adey, Bryan T; Robles, Ignacio; Gennaro, Federico di; Pardi, Livia; Beltran-Hernando, Iñaki; Toribio-Diaz, Concepcion; Redondo, Noemi Jimenez; Díaz, Adrián Antonio Moli; Tecnalia Research & Innovation; E&I SEGURAS Y RESILIENTESTo ensure that transport infrastructure provides acceptable levels of service with respect to extreme events, the resilience of the infrastructure needs to be estimated and targets for it need to be set. Recent work in the European research project Future Proofing Strategies for Resilient Transport Networks against Extreme Events (Foresee) has shown how this can be done in situations with a wide range of available data, time frames for the estimation and expertise. This paper provides an example of how an infrastructure manager can use the guideline to estimate the resilience of, and set resilience targets for, an example transport system in a relatively short period of time, even in the case of limited expertise in all the relevant areas and limited knowledge and information on all the basic input variables. The example is fictive but realistic. It is based on a transport system consisting of a section of the A16 highway, in Italy, where a potential landslide could discharge enough material to damage road sections and bridges. The resilience is estimated using resilience indicators with differentiated weights, and the resilience targets are set using cost–benefit analysis, to identify the indicators to be improved first.Item Estimating, and setting targets for, the resilience of transport infrastructure(2021-07-30) Adey, Bryan T; Martani, Claudio; Kielhauser, Clemens; Robles, Ignacio Urqulijo; Papathanasiou, Natalia; Burkhalter, Marcel; Beltran-Hernando, Iñaki; Garcia-Sanchez, David; Tecnalia Research & Innovation; E&I SEGURAS Y RESILIENTESTo ensure that transport infrastructure provides acceptable levels of service with respect to extreme events, the resilience of the infrastructure needs to be estimated and targets for it need to be set. In this paper, the methodology proposed in the Foresee EU research project is presented. The methodology allows managers to measure, and set targets for, the resilience of transport systems in all situations. It requires clear definition of the transport system and how the service provided and the resilience are to be measured. The methodology allows consideration of the fact that transport infrastructure managers need to estimate resilience with various degrees of accuracy depending on the specific problem to be addressed, the time frame at disposition and the expertise available. These various levels of accuracy are covered by proposing the use of (a) simulations, (b) indicators whose values are directly related to increases in expected restoration intervention costs and reductions in service, and (c) the percentage of fulfilment of indicators. Once resilience has been estimated, the methodology provides guidance on how to set resilience targets with or without cost-benefit analysis. For demonstration, the explanation of the steps of the guideline is supported by their use for a simple transport system.