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dc.contributor.editorCorchado, Juan M.
dc.contributor.editorLarriba-Pey, Josep L.
dc.contributor.editorChamoso, Pablo
dc.contributor.editorDe la Prieta, Fernando
dc.date.accessioned2022-05-06T11:23:53Z
dc.date.available2022-05-06T11:23:53Z
dc.date.issued2022
dc.identifierONIX_20220506_9783036539805_106
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/81040
dc.description.abstractModern societies demand high and varied mobility, which in turn requires a complex transport system adapted to social needs that guarantees the movement of people and goods in an economically efficient and safe way, but all are subject to a new environmental rationality and the new logic of the paradigm of sustainability. From this perspective, an efficient and flexible transport system that provides intelligent and sustainable mobility patterns is essential to our economy and our quality of life. The current transport system poses growing and significant challenges for the environment, human health, and sustainability, while current mobility schemes have focused much more on the private vehicle that has conditioned both the lifestyles of citizens and cities, as well as urban and territorial sustainability. Transport has a very considerable weight in the framework of sustainable development due to environmental pressures, associated social and economic effects, and interrelations with other sectors. The continuous growth that this sector has experienced over the last few years and its foreseeable increase, even considering the change in trends due to the current situation of generalized crisis, make the challenge of sustainable transport a strategic priority at local, national, European, and global levels. This Special Issue will pay attention to all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technologyen_US
dc.subject.otheroptimization models
dc.subject.othertimetable
dc.subject.otherpassenger waiting time
dc.subject.othervehicle occupancy ratio
dc.subject.otherintelligent transportation systems
dc.subject.otherdemand prediction
dc.subject.othertaxi recommendation
dc.subject.othervehicle social network
dc.subject.otherride-hailing
dc.subject.otherurban rail transit (URT)
dc.subject.otherexploratory data analysis (EDA)
dc.subject.otherdata envelopment analysis (DEA)
dc.subject.othersustainable transport systems
dc.subject.otherintelligent transportation systems (ITS)
dc.subject.otherbig-data applications
dc.subject.otherdynamic bus travel time prediction
dc.subject.otherwide and deep
dc.subject.otherdata fusion
dc.subject.otherattention
dc.subject.otherrecurrent neural network
dc.subject.otherdeep neural networks
dc.subject.otherintelligent transportation
dc.subject.otherrailway
dc.subject.otherCPS
dc.subject.othersecurity
dc.subject.othersafety
dc.subject.othercritical infrastructure
dc.subject.othercarsharing
dc.subject.otherdata analysis
dc.subject.otherdelays
dc.subject.otherdemand
dc.subject.otherpublic transit
dc.subject.othertaxi
dc.subject.othercomplex network analysis
dc.subject.othercentrality measures
dc.subject.othernetwork robustness
dc.subject.otherridership patterns
dc.subject.otherclustering analysis
dc.subject.otherpassenger flow
dc.subject.otherBarcelona underground
dc.subject.otherartificial intelligence
dc.subject.otherBig Data analytics
dc.subject.otherforecasting systems
dc.subject.otherrecommender system
dc.subject.otherFintech
dc.subject.otherpassenger traffic
dc.subject.otherartificial neural network
dc.subject.otherregression analysis
dc.subject.otherreputation algorithm
dc.subject.otherusers’ reputation
dc.subject.othertransport
dc.subject.othersoftware application
dc.subject.otherdeep learning
dc.subject.otherenergy consumption
dc.subject.othersustainable cities
dc.subject.othertransfer learning
dc.subject.otherwastewater treatment plants
dc.subject.otherunmanned aerial vehicles (UAVs)
dc.subject.othermulti-objective optimization
dc.subject.otherinteger programming
dc.subject.otherGLPK
dc.subject.othervariable neighborhood search
dc.subject.othersearch and rescue
dc.subject.otherlearning recommender system
dc.subject.otherlearning object
dc.subject.otherlearning videos
dc.subject.othercontent-based
dc.subject.othercollaborative filtering
dc.subject.otherusers’ profiling
dc.subject.otherdata extraction
dc.subject.othernatural language processing
dc.subject.othermapping application
dc.subject.othertime series forecasting
dc.subject.otherHTM
dc.subject.otherregression
dc.subject.othermachine intelligence
dc.subject.othercyber-attack detection
dc.subject.otherIoT
dc.subject.othertrust
dc.subject.otherenergy trading
dc.subject.othertrusted negotiations
dc.subject.othern/a
dc.titleAdvances in Public Transport Platform for the Development of Sustainability Cities
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-3979-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036539805
oapen.relation.isbn9783036539799
oapen.pages346
oapen.place.publicationBasel


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