Please use this identifier to cite or link to this item:
http://dspace.ucuenca.edu.ec/handle/123456789/34258
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Orellana Vintimilla, Daniel Augusto | - |
dc.contributor.author | Guerrero Balarezo, Maria Laura | - |
dc.date.accessioned | 2020-05-09T01:09:15Z | - |
dc.date.available | 2020-05-09T01:09:15Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2399-8083 | - |
dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/34258 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071453178&origin=inward | - |
dc.description | This study explores the effect of the spatial configuration of street networks on movement patterns of users of a cycling monitoring app, employing crowdsourced information from OpenStreetMap and Strava Metro. Choice and Integration measures from Space Syntax were used to analyse the street network’s configuration for different radiuses. Multiple linear regression models were fitted to explore the influence of these measures on cycling activity at the street segment level after controlling other variables such as land use, household density, socio-economic status, and cycling infrastructure. The variation of such influence for different time periods (weekday vs. weekend) and trip purposes (commuting vs. sports) was also analysed. The results show a positive significant association between normalised angular choice (NACH) and cycling activity. Although the final regression model explained 5.5% of the log-likelihood of the intercept model, it represents an important improvement compared with the base (control-only) model (3.8%). The incidence rate ratio of NACH’s Z scores was 1.63, implying that for an increase of one standard deviation of NACH, there is an expected increment of about 63% in the total cyclist counts while keeping all other variables the same. These results are of interest for researchers, practitioners, and urban planners, since the inclusion of Space Syntax measures derived from available public data can improve movement behaviour modelling and cycling infrastructure planning and design. | - |
dc.description.abstract | © The Author(s) 2019. This study explores the effect of the spatial configuration of street networks on movement patterns of users of a cycling monitoring app, employing crowdsourced information from OpenStreetMap and Strava Metro. Choice and Integration measures from Space Syntax were used to analyse the street network’s configuration for different radiuses. Multiple linear regression models were fitted to explore the influence of these measures on cycling activity at the street segment level after controlling other variables such as land use, household density, socio-economic status, and cycling infrastructure. The variation of such influence for different time periods (weekday vs. weekend) and trip purposes (commuting vs. sports) was also analysed. The results show a positive significant association between normalised angular choice (NACH) and cycling activity. Although the final regression model explained 5.5% of the log-likelihood of the intercept model, it represents an important improvement compared with the base (control-only) model (3.8%). The incidence rate ratio of NACH’s Z scores was 1.63, implying that for an increase of one standard deviation of NACH, there is an expected increment of about 63% in the total cyclist counts while keeping all other variables the same. These results are of interest for researchers, practitioners, and urban planners, since the inclusion of Space Syntax measures derived from available public data can improve movement behaviour modelling and cycling infrastructure planning and design. | - |
dc.language.iso | es_ES | - |
dc.source | Environment and Planning B: Urban Analytics and City Science | - |
dc.subject | Big Data | - |
dc.subject | Urban morphology | - |
dc.subject | Space Syntax | - |
dc.subject | OpenStreetMap | - |
dc.subject | cycling movement | - |
dc.subject | Big Data | - |
dc.subject | cycling movement | - |
dc.subject | Urban morphology | - |
dc.subject | Space Syntax | - |
dc.subject | OpenStreetMap | - |
dc.title | Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data | - |
dc.type | ARTÍCULO | - |
dc.ucuenca.idautor | 0103668430 | - |
dc.ucuenca.idautor | 0102367554 | - |
dc.identifier.doi | 10.1177/2399808319863810 | - |
dc.ucuenca.embargoend | 2050-12-31 | - |
dc.ucuenca.version | Versión publicada | - |
dc.ucuenca.embargointerno | 2050-12-31 | - |
dc.ucuenca.areaconocimientounescoamplio | 07 - Ingeniería, Industria y Construcción | - |
dc.ucuenca.afiliacion | Orellana, D., Universidad de Cuenca, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Guerrero, M., Universidad de Cuenca, Cuenca, Ecuador | - |
dc.ucuenca.correspondencia | Orellana Vintimilla, Daniel Augusto, daniel.orellana@ucuenca.edu.ec | - |
dc.ucuenca.volumen | Volumen 46, Número 7 | - |
dc.ucuenca.indicebibliografico | DOAJ | - |
dc.ucuenca.numerocitaciones | 0 | - |
dc.ucuenca.areaconocimientofrascatiamplio | 2. Ingeniería y Tecnología | - |
dc.ucuenca.areaconocimientofrascatiespecifico | 2.2 Ingenierias Eléctrica, Electrónica e Información | - |
dc.ucuenca.areaconocimientofrascatidetallado | 2.2.3 Sistemas de Automatización y Control | - |
dc.ucuenca.areaconocimientounescoespecifico | 073 - Arquitectura y Construcción | - |
dc.ucuenca.areaconocimientounescodetallado | 0731 - Arquitectura y Urbanismo | - |
dc.ucuenca.urifuente | http://journals.sagepub.com/home/epb | - |
Appears in Collections: | Artículos |
Files in This Item:
File | Size | Format | |
---|---|---|---|
documento.pdf Until 2050-12-31 | 244.96 kB | Adobe PDF | View/Open Request a copy |
This item is protected by original copyright |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Centro de Documentacion Regional "Juan Bautista Vázquez" | ||||||||||
|