Conference
Global urban cityscape - unsupervised clustering exploration of human activity and mobility infrastructure
| Τίτλος: | Global urban cityscape - unsupervised clustering exploration of human activity and mobility infrastructure |
|---|---|
| Συγγραφείς: | Papasotiriou, Tania, Chalup, Stephan |
| Συνεισφορές: | The University of Newcastle. College of Engineering, Science & Environment, School of Architecture and Built Environment |
| Στοιχεία εκδότη: | Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) |
| Έτος έκδοσης: | 2021 |
| Θεματικοί όροι: | information retrieval, similarity measures, computer methodologies, unsupervised clustering, urban performance, SDG 9, SDG 10, SDG 11, Sustainable Development Goals, info, demo |
| Περιγραφή: | It is widely accepted that cities cultivate innovation and are the engines of productivity. The identification of strengths and weaknesses will enchant social mobility providing equal opportunities for all. The study at hand investigates the relationship between social mobility and transportation planning in 1,860 central urban areas across the globe. Datamining processes combining open-sourced, automated, and crowdsourced information from four major pillars of social mobility (demographics, human activity, transport infrastructure, and environmental quality) are used to describe each location. Next, unsupervised clustering algorithms are used to analyse the extracted information, in order to identify similar characteristics and patterns among urban areas. The process, which comprises an objective framework for the analysis of urban environments, resulted in four major types of central areas, that represent similar patterns of human activity and transport infrastructure. |
| Τύπος εγγράφου: | conference object |
| Γλώσσα: | English |
| Relation: | http://hdl.handle.net/1959.13/1433301 |
| Διαθεσιμότητα: | http://hdl.handle.net/1959.13/1433301 |
| Rights: | undefined |
| Αριθμός Καταχώρησης: | edsbas.5D3B4327 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://hdl.handle.net/1959.13/1433301# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
|---|---|
| Header | DbId: edsbas DbLabel: BASE An: edsbas.5D3B4327 RelevancyScore: 851 AccessLevel: 3 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 851.347900390625 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Global urban cityscape - unsupervised clustering exploration of human activity and mobility infrastructure – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Papasotiriou%2C+Tania%22">Papasotiriou, Tania</searchLink><br /><searchLink fieldCode="AR" term="%22Chalup%2C+Stephan%22">Chalup, Stephan</searchLink> – Name: Author Label: Contributors Group: Au Data: The University of Newcastle. College of Engineering, Science & Environment, School of Architecture and Built Environment – Name: Publisher Label: Publisher Information Group: PubInfo Data: Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) – Name: DatePubCY Label: Publication Year Group: Date Data: 2021 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22information+retrieval%22">information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22similarity+measures%22">similarity measures</searchLink><br /><searchLink fieldCode="DE" term="%22computer+methodologies%22">computer methodologies</searchLink><br /><searchLink fieldCode="DE" term="%22unsupervised+clustering%22">unsupervised clustering</searchLink><br /><searchLink fieldCode="DE" term="%22urban+performance%22">urban performance</searchLink><br /><searchLink fieldCode="DE" term="%22SDG+9%22">SDG 9</searchLink><br /><searchLink fieldCode="DE" term="%22SDG+10%22">SDG 10</searchLink><br /><searchLink fieldCode="DE" term="%22SDG+11%22">SDG 11</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+Development+Goals%22">Sustainable Development Goals</searchLink><br /><searchLink fieldCode="DE" term="%22info%22">info</searchLink><br /><searchLink fieldCode="DE" term="%22demo%22">demo</searchLink> – Name: Abstract Label: Description Group: Ab Data: It is widely accepted that cities cultivate innovation and are the engines of productivity. The identification of strengths and weaknesses will enchant social mobility providing equal opportunities for all. The study at hand investigates the relationship between social mobility and transportation planning in 1,860 central urban areas across the globe. Datamining processes combining open-sourced, automated, and crowdsourced information from four major pillars of social mobility (demographics, human activity, transport infrastructure, and environmental quality) are used to describe each location. Next, unsupervised clustering algorithms are used to analyse the extracted information, in order to identify similar characteristics and patterns among urban areas. The process, which comprises an objective framework for the analysis of urban environments, resulted in four major types of central areas, that represent similar patterns of human activity and transport infrastructure. – Name: TypeDocument Label: Document Type Group: TypDoc Data: conference object – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: http://hdl.handle.net/1959.13/1433301 – Name: URL Label: Availability Group: URL Data: http://hdl.handle.net/1959.13/1433301 – Name: Copyright Label: Rights Group: Cpyrght Data: undefined – Name: AN Label: Accession Number Group: ID Data: edsbas.5D3B4327 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.5D3B4327 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: information retrieval Type: general – SubjectFull: similarity measures Type: general – SubjectFull: computer methodologies Type: general – SubjectFull: unsupervised clustering Type: general – SubjectFull: urban performance Type: general – SubjectFull: SDG 9 Type: general – SubjectFull: SDG 10 Type: general – SubjectFull: SDG 11 Type: general – SubjectFull: Sustainable Development Goals Type: general – SubjectFull: info Type: general – SubjectFull: demo Type: general Titles: – TitleFull: Global urban cityscape - unsupervised clustering exploration of human activity and mobility infrastructure Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Papasotiriou, Tania – PersonEntity: Name: NameFull: Chalup, Stephan – PersonEntity: Name: NameFull: The University of Newcastle. College of Engineering, Science & Environment, School of Architecture and Built Environment IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 Identifiers: – Type: issn-locals Value: edsbas |
| ResultId | 1 |