Màster en Ciutats Intel·ligents (Smart Cities)http://hdl.handle.net/10256/121482024-03-29T02:01:33Z2024-03-29T02:01:33ZPerspectives on citizen participation for the digital age: urban development based research and case studyBouzguenda, Islamhttp://hdl.handle.net/10256/135502019-03-06T07:40:57Z2016-09-01T00:00:00ZPerspectives on citizen participation for the digital age: urban development based research and case study
Bouzguenda, Islam
Since we are experimenting now a new era of cities being deployed with smart technologies, citizen participation is a complementary task to these cities. Traditional ways being used for civic engagement are not interesting anymore to most of the citizens, as attracting a diverse group of citizens to participate can be challenging, since citizen involvement is often a leisure-time activity and competes with other ways of spending time (Oksman et al., 2014). This research investigates the possible ways of attracting people to the Co-creation process as well as utilizing the latest innovative technologies that could be applied as a participation tool. This study used the concluded results from the previous practical work as a reference to create a strong theoretical background discussing several aspects of the subject. A conceptual proposal was designed afterwards, including several steps that should be implemented in sequence, followed by the implementation phase which includes a business model strategy and finally a discussion and evaluation of the expected outcomes
2016-09-01T00:00:00ZAnàlisi de les dades del trànsit urbà amb sensors de superfície: el cas de Figueres: Figueres, Smart TrafficLuque i Carrillo, Federicohttp://hdl.handle.net/10256/128432019-03-06T07:41:13Z2016-09-01T00:00:00ZAnàlisi de les dades del trànsit urbà amb sensors de superfície: el cas de Figueres: Figueres, Smart Traffic
Luque i Carrillo, Federico
Decisions making in smart cities mobility management is based on the advice of the current state of city transit based on objective data. In this paper, the case of Figueres city is presented: we analyze data coming from a group of sensors installed in a big urban area of the city and we create predictive transit models. Thanks to this study, urban and mobility technicians will be able to know if their current actions are working properly or, on the contrary, they should do other procedures. The present paper is organized as follows: on first place, we find an introduction of Smart Mobility situation in Europe and we place Figueres in its context. To continue, the opportunity of innovation is shown by defining the problem we would like to solve based on precedents and specifying the data problem. We continue with the state of the art of technologies and software used and we describe the innovation: selection and visualization of data, analysis of a group of data delimited on specified dates which are referred only to a volume of transit of a certain group of sensors. This analysis enables the calculation of transit volume prediction. R software has been used in order to obtain results which will be discussed afterwards. Finally, conclusions are described and references which have been used are provided
2016-09-01T00:00:00ZStrolling Dial-a-Ride Problem: definition and applicabilityBernardo, Ivo Rosahttp://hdl.handle.net/10256/121912019-03-06T07:41:32Z2015-09-01T00:00:00ZStrolling Dial-a-Ride Problem: definition and applicability
Bernardo, Ivo Rosa
Small/medium size cities of today, need to present solutions to their citizens,
taking into account the demand and their needs. In terms of public transportation,
this demand can be satisfied by a new type of service, based on the presented
problem of this document: the Strolling Dial-a-Ride Problem.
This problem is a variant of the Dial-a-Ride Problem, in which is expected that
the passengers walk to get picked up and to reach their destination point, after
they are delivered.
In this document, the Strolling Dial-a-Ride problem is explained and results from
a computer simulation, of the problem, are presented and discussed
2015-09-01T00:00:00Z