Inês Boavida Portugal
Projetos em curso
Artigo em revista
Miguel Leal; Inês Boavida-Portugal; Marcelo Fragoso; Catarina Ramos. 2019. «How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding». Hydrological Sciences Journal 1-17 10.1080/02626667.2019.1595625 https://https://doi.org/10.1080/02626667.2019.1595625
Portugal, Inês. 2018. «Climate change impacts on the distribution of coastal lobsters». 10.1007/s00227-018-3441-9 https://http://dx.doi.org/10.1007/s00227-018-3441-9
Johnson, P.; Nicholls, S.; Student, J.; Amelung, B.; Baggio, R.; Balbi, S.; Boavida-Portugal, I.; et al. 2017. «Easing the adoption of agent-based modelling (ABM) in tourism research». Current Issues in Tourism 20 (8) 801-808 10.1080/13683500.2016.1209165 https://http://www.scopus.com/inward/record.url?eid=2-s2.0-84979538865&partnerID=MN8TOARS
Encalada, L.; Boavida-Portugal, I.; Ferreira, C.C.; Rocha, J.. 2017. «Identifying tourist places of interest based on digital imprints: Towards a sustainable smart City». Sustainability (Switzerland) 9 (12) 10.3390/su9122317 https://http://www.scopus.com/inward/record.url?eid=2-s2.0-85037976608&partnerID=MN8TOARS
Boavida-Portugal, I.; Ferreira, C.C.; Rocha, J.. 2017. «Where to vacation? An agent-based approach to modelling tourist decision-making process». Current Issues in Tourism 20 (15) 1557-1574 10.1080/13683500.2015.1041880 https://http://www.scopus.com/inward/record.url?eid=2-s2.0-84930077355&partnerID=MN8TOARS
Capítulo de livro
2022. «Future land use/cover change and tourism development: integrating land use policy and tourist decision behaviour». in Mapping and forecasting land use: the present and future of planning editado por elsevier. Elsevier
Portugal, Inês. 2019. «Mining Big Data for Tourist Hot Spots: Geographical Patterns of Online Footprints». 10.1007/978-3-030-04750-4_6 https://http://dx.doi.org/10.1007/978-3-030-04750-4_6
Encalada, L.; Ferreira, C.C.; Rocha, J.; Boavida-Portugal, I.. 2018. «Geographical patterns in the tourist city: GIS for spatiotemporal analysis». 76-97 10.4018/978-1-5225-5088-4.ch004 https://http://www.scopus.com/inward/record.url?eid=2-s2.0-85048594917&partnerID=MN8TOARS
Boavida-Portugal, Inês. 2017. «Introductory Chapter: Multi-Agent Systems». in Multi-agent Systems 1 33-66 InTech Publication https://dx.doi.org/10.5772/intechopen.70241