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Accessible routes integrating data from multiple sources

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dc.contributor.author Luaces, Miguel R.
dc.contributor.author Fisteus, Jesús A.
dc.contributor.author Sánchez Fernández, Luis
dc.contributor.author Munoz Organero, Mario
dc.contributor.author Balado Frías, Jesús
dc.contributor.author Díaz Vilariño, Lucía
dc.contributor.author Lorenzo Cimadevila, Henrique Remixio
dc.date.accessioned 2021-01-21T09:05:39Z
dc.date.available 2021-01-21T09:05:39Z
dc.date.issued 2020-12-26
dc.identifier.citation ISPRS International Journal of Geo-Information, 10(1): 7 (2020) spa
dc.identifier.issn 22209964
dc.identifier.uri http://hdl.handle.net/11093/1708
dc.description.abstract Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain). spa
dc.description.sponsorship Agencia Estatal de Investigación | Ref. TIN2016-77158-C4-1-R spa
dc.description.sponsorship Agencia Estatal de Investigación | Ref. TIN2016-77158-C4-2-R spa
dc.description.sponsorship Agencia Estatal de Investigación | Ref. TIN2016-77158-C4-3-R spa
dc.description.sponsorship Agencia Estatal de Investigación | Ref. PID2019-105221RB-C41 spa
dc.description.sponsorship Agencia Estatal de Investigación | Ref. PID2019-105221RB-C43 spa
dc.description.sponsorship Agencia Estatal de Investigación | Ref. PID2019-105221RB-C44 spa
dc.description.sponsorship Xunta de Galicia | Ref. ED431C 2017/58 spa
dc.description.sponsorship Xunta de Galicia | Ref. IN852A 2018/14 spa
dc.description.sponsorship Xunta de Galicia | Ref. ED431G 2019/01 spa
dc.description.sponsorship Xunta de Galicia | Ref. ED481B-2019-061 spa
dc.description.sponsorship Xunta de Galicia | Ref. ED481D 2019/020 spa
dc.language.iso eng spa
dc.publisher ISPRS International Journal of Geo-Information spa
dc.title Accessible routes integrating data from multiple sources spa
dc.type article spa
dc.rights.accessRights openAccess spa
dc.identifier.doi 10.3390/ijgi10010007
dc.identifier.editor https://www.mdpi.com/2220-9964/10/1/7 spa
dc.publisher.departamento Enxeñaría dos recursos naturais e medio ambiente spa
dc.publisher.departamento Deseño na enxeñaría spa
dc.publisher.grupoinvestigacion Xeotecnoloxías Aplicadas spa
dc.subject.unesco 3311.02 Ingeniería de Control spa
dc.date.updated 2021-01-20T15:49:19Z


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