Zobrazeno 1 - 10
of 43
pro vyhledávání: '"María Henar Salas-Olmedo"'
Publikováno v:
Journal of Maps, Vol 13, Iss 1, Pp 40-45 (2017)
This research evidences the usefulness of open big data to map mobility patterns in a medium-sized city. Motivated by the novel analysis that big data allow worldwide and in large metropolitan areas, we developed a methodology aiming to complement or
Externí odkaz:
https://doaj.org/article/a38babe8dfae4887849542f40aadec79
Publikováno v:
Revista de Estudios Andaluces, Vol 33, Iss 1, Pp 1-23 (2016)
Actualmente asistimos a una verdadera revolución en la producción y el tratamiento de datos masivos (Big Data). Aunque los principales usuarios de este tipo de datos son las empresas, el mundo de la investigación ha encontrado también interesante
Externí odkaz:
https://doaj.org/article/4dc5fe66cb0d4a49b3cad158b8d1820e
Autor:
Fabio Lamanna, Maxime Lenormand, María Henar Salas-Olmedo, Gustavo Romanillos, Bruno Gonçalves, José J Ramasco
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0191612 (2018)
As a consequence of the accelerated globalization process, today major cities all over the world are characterized by an increasing multiculturalism. The integration of immigrant communities may be affected by social polarization and spatial segregat
Externí odkaz:
https://doaj.org/article/23b9a3cb328e4af8a87014594944e961
Publikováno v:
European Journal of Transport and Infrastructure Research, Vol 16, Iss 2 (2016)
The interest in disentangling the role of borders in international trade is growing even within virtually borderless areas like the European Union. While there are a variety of research studies measuring how borders affect trade, there is little insi
Externí odkaz:
https://doaj.org/article/dd0d6410464344779dcdb47172e6304c
Publikováno v:
Transportation Research Part A: Policy and Practice. 125:294-307
Big Data sources offer new possibilities for urban mobility and accessibility studies. As people carry out their activities in a city, they leave behind a digital fingerprint that can be used to analyze the population’s daily mobility patterns and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::156ed918388963ced6a811e69b4234fc
https://doi.org/10.1016/j.tra.2018.02.008
https://doi.org/10.1016/j.tra.2018.02.008
Publikováno v:
Papers in Regional Science. 98:1359-1372
The objective is to analyse how one's place of residence affects the probability of finding a job and to measure the definition of the public jobcentre catchment area, which contributes to improving labour outcomes in the most deprived areas. We prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6750b0b9baa74588399dafdde4137d7
https://doi.org/10.1111/pirs.12414
https://doi.org/10.1111/pirs.12414
Publikováno v:
Tourism Management. 66:13-25
There is little knowledge available on the spatial behaviour of urban tourists, and yet tourists generate an enormous quantity of data when they visit cities. These data sources can be used to track their presence through their activities. The aim of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5444d9af87d08c65e5f7ce718c50e8a4
https://doi.org/10.1016/j.tourman.2017.11.001
https://doi.org/10.1016/j.tourman.2017.11.001
Autor:
María Henar Salas-Olmedo, Ana Condeço-Melhorado, Borja Moya-Gómez, Javier Gutiérrez, Juan Carlos García-Palomares
Publikováno v:
Cities. 72:310-319
Social network data offer interesting opportunities in urban studies. In this study, we used Twitter data to analyse city dynamics over the course of the day. Users of this social network were grouped according to city zone and time slot in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b5055c2b231293a4581f06018169de
https://doi.org/10.1016/j.cities.2017.09.007
https://doi.org/10.1016/j.cities.2017.09.007
Publikováno v:
Tourism Management. 62:278-291
In recent years, what has become known as collaborative consumption has undergone rapid expansion through peer-to-peer (P2P) platforms. In the field of tourism, a particularly notable example is that of Airbnb. This article analyses the spatial patte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51efcd8b62232841f48e1e51d4257021
https://doi.org/10.1016/j.tourman.2017.05.003
https://doi.org/10.1016/j.tourman.2017.05.003
Publikováno v:
Computers, Environment and Urban Systems. 64:194-203
Accessibility-based land use and transport interaction (LUTI) models are tools for policy assessments that facilitate coherent implementation of sustainable strategic urban plans. This study aims to improve one of those LUTI models introducing the di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2003bab24b0559e3b40d56fc64e9dc62
https://doi.org/10.1016/j.compenvurbsys.2017.02.004
https://doi.org/10.1016/j.compenvurbsys.2017.02.004