Analysis of Bicycle Commuter Routes Using GPSs and GIS

Segadilha, Ana Beatriz Pereira; Sanches, Suely da Penha

doi:10.1016/j.sbspro.2014.12.200

Cited by 22 publications

(12 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Existência de infraestruturas cicloviárias Aultman-Hall, Hall, e Baetz (1997); Abraham, McMillan, Rownlee, e Hunt (2002); Moudon et al (2005); Stinson e Bhat (2003; Krizek (2006); Hunt e Abraham (2007) ; Krizek, El-Geneidy e Thompson (2007); Raford, Chiaradia e Gil (2007) Tilahun, Levinson e Krizek (2007); Bernhoft e Carstensen (2008); Sener, Eluru e Bhat (2009); Dill (2009) ;Menghini, Carrasco, Schüssler & Axhausen (2010); Winters, Teschke, Grant, Setton & Brauer (2010); Winters e Teschke (2010); Broach, Gliebe e Dill (2009Dill ( , 2011; Hood, Sall e Charlton (2011); Larsen e El-Geneidy (2011); Broach, Dill e Gliebe (2012); Caulfield, Brick e McCarthy (2012); Li et al (2012); Kang e Fricker (2013) ; Snizek, Nielsen e Skov-Petersen (2013); Krenn, Oja e Titze (2014); Pitilin e Sanches (2016). Antonakos (1994); Aultman-Hall, et al (1997); Stinson e Bhat (2003; Bernhoft e Carstensen (2008) ;Casello, Nour e Rewa (2011); Winters e Teschke (2010); Kang e Fricker (2013); Segadilha e Sanches (2014b, 2014c, 2014d; Pitilin e Sanches (2016).…”

Section: Tabela I | Fatores Que Influenciam Na Escolha Das Rotas Pelomentioning

confidence: 99%

Fatores influentes na escolha de rota dos ciclistas

Sousa¹,

Penha-Sanches

2019

EURE (Santiago)

View full text Add to dashboard Cite

issn impreso 0250-7161 | issn digital 0717-6236 vol 45 | n o 134 | enero 2019 | pp. 31-52 | artículos | ©EURE Fatores influentes na escolha de rota dos ciclistas Isabel-Cristina Nunes de Sousa. Investigadora independente, São Carlos, Brasil. Suely da Penha-Sanches. Universidade Federal de São Carlos, São Carlos, Brasil. resumo | Para determinação dos aspectos mais relevantes no planejamento de redes cicloviárias, um questionário foi respondido por ciclistas em viagens utilitárias (por motivo de trabalho e/ou estudo) na cidade de São José dos Campos-sp. Para o processamento das respostas, análises estatísticas descritivas foram feitas para representação do perfil sociodemográfico dos respondentes, além de posteriores comparações com a amostra de ciclistas da pesquisa Origem-Destino realizada em 2011 na referida cidade. Também foram feitos testes de hipóteses (estatística inferencial) para verificação da existência de diferenças estatisticamente significativas de opinião, em função de características dos perfis identificados, e confrontação dos resultados obtidos com as informações encontradas durante revisão bibliográfica. A prioridade dos ciclistas da amostra é chegar o mais rapidamente possível a seus destinos, por caminhos iluminados e seguros, além de pedalar o minimamente necessário, preferencialmente por vias com pavimento em bom estado de conservação. palavras-chave | mobilidade, transporte urbano, planejamento urbano.abstract | For the determination of the most relevant aspects of Bicycle-Network Planning, a questionnaire regarding utilitarian trips (work and/or study related reasons) was answered by cyclists in the City of São José dos Campos. For the processing of responses, descriptive statistical analyses were conducted to represent sociodemographic profiles and posterior comparisons with the sample of cyclists from the Origin-Destination research held in 2011 for the same city. A hypothesis testing (inferential statistics) was also completed to verify the existence of significant opinion differences, due to the characteristics of the identified profiles, and a confrontation between the final results and the information gathered during the bibliographic review. The priority of the cyclists from the sample is to arrive as soon as possible to their destination through illuminated and safe paths, alongside pedaling the necessary minimum, preferably on streets with good pavement conditions. keywords | mobility, urban transportation, urban planning.

show abstract

Section: Tabela I | Fatores Que Influenciam Na Escolha Das Rotas Pelomentioning

confidence: 99%

Fatores influentes na escolha de rota dos ciclistas

Sousa¹,

Penha-Sanches

2019

EURE (Santiago)

View full text Add to dashboard Cite

show abstract

“…A small sample of 50 cyclists in Indiana was found to have a similar detour rate of 13% [57]. A Brazilian study of the same size found that cyclists travelled on average 14.6% longer than the shortest path [58]. One smartphone application used in Bologna found a mean detour rate of 14% from 4272 bicycle commuting journeys, which the authors claim are generally more direct than other journeys made by bike [59].…”

Section: Detour Ratementioning

confidence: 93%

Bicycle Level of Service for Route Choice—A GIS Evaluation of Four Existing Indicators with Empirical Data

Pritchard

Frøyen

Snizek³

2019

IJGI

View full text Add to dashboard Cite

Bicycle Level of Service (BLOS) indicators are used to provide objective ratings of the bicycle suitability (or quality) of links or intersections in transport networks. This article uses empirical bicycle route choice data from 467 university students in Trondheim, Norway to test the applicability of BLOS rating schemes for the estimation of whole-journey route choice. The methods evaluated share a common trait of being applicable for mixed traffic urban environments: Bicycle Compatibility Index (BCI), Bicycle Stress Level (BSL), Sixth Edition Highway Capacity Manual (HCM6), and Level of Traffic Stress (LTS). Routes are generated based on BLOS-weighted networks and the suitability of these routes is determined by finding the percentage overlap with empirical route choices. The results show that BCI provides the best match with empirical route data in all five origin–destination pairs, followed by HCM6. BSL and LTS which are not empirically founded have a lower match rate, although the differences between the four methods are relatively small. By iterating the detour rate that cyclists are assumed to be willing to make, it is found that the best match with modelled BLOS routes is achieved between 15 and 21% additional length. This falls within the range suggested by existing empirical research on willingness to deviate from the shortest path, however, it is uncertain whether the method will deliver the comparable findings in other cycling environments.

show abstract

“…are mostly identified throughout low speeds, like in Axhausen and Schüssler [1] or Menghini et al [23]. There is also a number of studies which use data preprocessing in a very sparse wayor at least they do not describe it sufficiently (see for example the studies of [18,27,34]).…”

Section: State Of Researchmentioning

confidence: 99%

Facing the needs for clean bicycle data – a bicycle-specific approach of GPS data processing

Lißner

Huber

2021

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

Background GPS-based cycling data are increasingly available for traffic planning these days. However, the recorded data often contain more information than simply bicycle trips. GPS tracks resulting from tracking while using other modes of transport than bike or long periods at working locations while people are still tracking are only some examples. Thus, collected bicycle GPS data need to be processed adequately to use them for transportation planning. Results The article presents a multi-level approach towards bicycle-specific data processing. The data processing model contains different steps of processing (data filtering, smoothing, trip segmentation, transport mode recognition, driving mode detection) to finally obtain a correct data set that contains bicycle trips, only. The validation reveals a sound accuracy of the model at its’ current state (82–88%).

show abstract

Analysis of Bicycle Commuter Routes Using GPSs and GIS

Cited by 22 publications

References 8 publications

Fatores influentes na escolha de rota dos ciclistas

Fatores influentes na escolha de rota dos ciclistas

Bicycle Level of Service for Route Choice—A GIS Evaluation of Four Existing Indicators with Empirical Data

Facing the needs for clean bicycle data – a bicycle-specific approach of GPS data processing

Contact Info

Product

Resources

About