1,824
Views
0
CrossRef citations to date
0
Altmetric
Articles

Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage

ORCID Icon, , & ORCID Icon
Pages 931-941 | Received 22 Nov 2021, Accepted 01 Sep 2022, Published online: 16 Sep 2022

References

  • Agyeman, J., & Doran, A. (2021). “You want protected bike lanes, I want protected Black children. Let’s link”: Equity, justice, and the barriers to active transportation in North America. Local Environment, 26(12), 1480–1497. https://doi.org/10.1080/13549839.2021.1978412
  • Andrew, M. E., Wulder, M. a., & Cardille, J. a (2014). Protected areas in boreal Canada: A baseline and considerations for the continued development of a representative and effective reserve network. Environmental Reviews, 22(2), 135–160. https://doi.org/10.1139/er-2013-0056
  • Bell, D., Binnie, J., Holliday, R., Longhurst, R., & Peace, R. (2001). Fragments for a queer city. In Pleasure zones: Bodies, cities, spaces (pp. 84–102). Syracuse University Press.
  • Boss, D., Nelson, T., & Winters, M. (2018). Monitoring city wide patterns of cycling safety. Accident; Analysis and Prevention, 111, 101–108. https://doi.org/10.1016/j.aap.2017.11.008
  • Boss, D., Nelson, T., Winters, M., & Ferster, C. J. (2018). Using crowdsourced data to monitor change in spatial patterns of bicycle ridership. Journal of Transport & Health, 9, 226–233. https://doi.org/10.1016/j.jth.2018.02.008
  • Brown, M. J., Scott, D. M., & Páez, A. (2021). A spatial modeling approach to estimating bike share traffic volume from GPS data. Sustainable Cities and Society, 76, 103401.
  • Brum-Bastos, V., Ferster, C. J., Nelson, T., & Winters, M. (2019). Where to put bike counters? Stratifying bicycling patterns in the city using crowdsourced data. Transport Findings. November. https://doi.org/10.32866/10828
  • Buehler, R., & Dill, J. (2016). Bikeway networks: A review of effects on cycling. Transport Reviews, 36(1), 9–27. https://doi.org/10.1080/01441647.2015.1069908
  • Chorley, R. J., & Haggett, P. (1967). Models in geography. London, 816pp.
  • Cui, Y., Mishra, S., & Welch, T. F. (2014). Land use effects on bicycle ridership: A framework for state planning agencies. Journal of Transport Geography, 41, 220–228. https://doi.org/10.1016/j.jtrangeo.2014.10.004
  • Ferenchak, N. N., & Marshall, W. E. (2016). Relative (in)effectiveness of bicycle sharrows on ridership and safety outcomes. In Transportation Research Board 95th Annual Meeting.
  • Ferster, C., Fischer, J., Manaugh, K., Nelson, T., & Winters, M. (2020). Using OpenStreetMap to inventory bicycle infrastructure: A comparison with open data from cities. International Journal of Sustainable Transportation, 14(1), 64–73. https://doi.org/10.1080/15568318.2018.1519746
  • Ferster, C., Nelson, T., Laberee, K., & Winters, M. (2021). Mapping bicycling exposure and safety risk using Strava Metro. Applied Geography, 127, 102388. https://doi.org/10.1016/j.apgeog.2021.102388
  • Fischer, J., Nelson, T., Laberee, K., & Winters, M. (2020). What does crowdsourced data tell us about bicycling injury? A case study in a mid-sized Canadian city. Accident; Analysis and Prevention, 145(July), 105695. https://doi.org/10.1016/j.aap.2020.105695
  • Fitterer, J. L., Nelson, T. A., Coops, N. C., & Wulder, M. A. (2012). Modelling the ecosystem indicators of British Columbia using Earth observation data and terrain indices. Ecological Indicators, 20, 151–162. https://doi.org/10.1016/j.ecolind.2012.02.024
  • Forbes, G. (1999). Urban roadway classification. Urban Street Symposium.
  • Ghosal, A., Nandy, A., Das, A. K., Goswami, S., & Panday, M. (2020). A short review on different clustering techniques and their applications. In J. K. Mandal & D. Bhattacharya (Eds.), Advances in intelligent systems and computing (Vol. 937). Springer. https://doi.org/10.1007/978-981-13-7403-6_9
  • Graef, F., Schmidt, G., Schröder, W., & Stachow, U. (2005). Determining ecoregions for environmental and GMO monitoring networks. Environmental Monitoring and Assessment, 108(1–3), 189–203.
  • Hargrove, W. W., & Hoffman, F. M. (2004). Potential of multivariate quantitative methods for delineation and visualization of ecoregions. Environmental Management, 34(S1), S39–S60. https://doi.org/10.1007/s00267-003-1084-0
  • Hayner, N. S. (1946). Criminogenic zones in Mexico City. American Sociological Review, 11(4), 428. https://doi.org/10.2307/2087338
  • Jestico, B., Nelson, T. A., Potter, J., & Winters, M. (2017). Multiuse trail intersection safety analysis: A crowdsourced data perspective. Accident; Analysis and Prevention, 103, 65–71. https://doi.org/10.1016/j.aap.2017.03.024
  • Jestico, B., Nelson, T., & Winters, M. (2016). Mapping ridership using crowdsourced cycling data. Journal of Transport Geography, 52, 90–97. https://doi.org/10.1016/j.jtrangeo.2016.03.006
  • Johnston, R. J. (1968). Choice in classification: The subjectivity of objective methods. Annals of the Association of American Geographers, 58(3), 575–589. https://doi.org/10.1111/j.1467-8306.1968.tb01653.x
  • Juhász, L., & Hochmair, H. (2020). Studying spatial and temporal visitation patterns of points of interest using safegraph data in Florida. GI_Forum, 1(1), 119–136. https://doi.org/10.1553/giscience2020_01_s119
  • Laberee, K., Nelson, T., Branion-Calles, M., Ferster, C., & Winters, M. (2021). Crowdsourced bicycling crashes and near misses: Trends in Canadian cities. Urban, Planning and Transport Research, 9(1), 449–463. https://doi.org/10.1080/21650020.2021.1964376
  • Lee, K., & Sener, I. N. (2021). Strava metro data for bicycle monitoring: A literature review. Transport Reviews, 41(1), 27–47. https://doi.org/10.1080/01441647.2020.1798558
  • Lubitow, A., Tompkins, K., & Feldman, M. (2019). Sustainable cycling for all? Race and gender–based bicycling inequalities in Portland. City & Community, 18(4), 1181–1202. https://doi.org/10.1111/cico.12470
  • Meidinger, D., & Pojar, J. (1991). Ecosystems of British Columbia. Special Report Series - Ministry of Forests, British Columbia. No. 6, xii-+ 330. pp.
  • National Capital Commission. (2017). Cycling on the capital’s pathways. Retrieved April 4, 2017, from http://www.ncc-ccn.gc.ca/places-to-visit/parks-paths/things-to-do/cycling-capital-pathways.
  • Nelson, T. A., Denouden, T., Jestico, B., Laberee, K., & Winters, M. (2015). BikeMaps.org: A global tool for collision and near miss mapping. Frontiers in Public Health, 3(MAR), 53. https://doi.org/10.3389/fpubh.2015.00053
  • Nelson, T. A., Goodchild, M. F., & Wright, D. J. (2022). Accelerating ethics, empathy, and equity in geographic information science. Proceedings of the National Academy of Sciences, 119(19), 1–12. https://doi.org/10.1073/pnas.2119967119
  • Nelson, T., Ferster, C., Laberee, K., Fuller, D., & Winters, M. (2021a). Crowdsourced data for bicycling research and practice. Transport Reviews, 41(1), 97–114. https://doi.org/10.1080/01441647.2020.1806943
  • Nelson, T., Roy, A., Ferster, C., Fischer, J., Brum-Bastos, V., Laberee, K., Yu, H., & Winters, M. (2021b). Generalized model for mapping bicycle ridership with crowdsourced data. Transportation Research Part C: Emerging Technologies, 125, 102981. https://doi.org/10.1016/j.trc.2021.102981
  • Omran, M. G. H., Engelbrecht, A. P., & Salman, A. (2007). An overview of clustering methods. Intelligent Data Analysis, 11(6), 583–605. https://doi.org/10.3233/IDA-2007-11602
  • Osama, A., & Sayed, T. (2017). Evaluating the impact of socioeconomics, land use, built environment, and road facility on cyclist safety. Transportation Research Record, 2659(2659), 33–42. https://doi.org/10.3141/2659-04
  • Padgham, M., Lovelace, R., Salmon, M., & Rudis, B. (2017). osmdata. The Journal of Open Source Software, 2(14), 305. https://doi.org/10.21105/joss.00305
  • Pebesma, E. (2018). Simple features for R: Standardized support for spatial vector data. The R Journal, 10(1), 439. https://doi.org/10.32614/RJ-2018-009
  • Riitters, K. H., Wickham, J. D., O'Neill, R. V., Jones, K. B., Smith, E. R., Coulston, J. W., Wade, T. G., & Smith, J. H. (2002). Fragmentation of continental United States forests. Ecosystems, 5(8), 815–822. https://doi.org/10.1007/s10021-002-0209-2
  • Schneider, A., Friedl, M. A., & Potere, D. (2010). Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions. Remote Sensing of Environment, 114(8), 1733–1746. https://doi.org/10.1016/j.rse.2010.03.003
  • Schultz, J. (2005). The ecozones of the world (p. 252). Springer-Verlag.
  • Spielman, S. E., & Folch, D. C. (2015). Reducing uncertainty in the American Community Survey through data-driven regionalization. PloS One, 10(2), e0115626.
  • Statistics Canada. (2016). Census Profile, 2016 Census Ottawa, City [Census subdivision]. Statistics Canada, Ottawa, Ontario, Canada. Retrieved from https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/details/page.cfm?Lang=E&Geo1=CSD&Geo2=PR&Code2=01&SearchType=Begins&SearchPR=01&TABID=1&B1=All&type=0&Code1=3506008&SearchText=ottawa
  • Stewart, I. D., & Oke, T. R. (2012). Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society, 93(12), 1879–1900. https://doi.org/10.1175/BAMS-D-11-00019.1
  • TAC. (2020). Safety performance of bicycle infrastructure in Canada (Issue November).
  • Teschke, K., Frendo, T., Shen, H., Harris, M. A., Reynolds, C. C. O., Cripton, P. A., Brubacher, J., Cusimano, M. D., Friedman, S. M., Hunte, G., Monro, M., Vernich, L., Babul, S., Chipman, M., & Winters, M. (2014). Bicycling crash circumstances vary by route type: A cross-sectional analysis. BMC Public Health, 14, 1205. https://doi.org/10.1186/1471-2458-14-1205[PMC][25416928
  • Turner, S., Tsapakis, I., & Koeneman, P. (2020). Evaluation of StreetLight data’s traffic count estimates from mobile device data. https://www.dot.state.mn.us/research/reports/2020/202030.pdf
  • von Bergmann, J., Shkolnik, D., & Jacobs, A. (2021). cancensus: R package to access, retrieve, and work with Canadian Census data and geography. R package version v0.4.2.
  • White, J. C., Wulder, M. A., Hermosilla, T., Coops, N. C., & Hobart, G. W. (2017). A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment, 194, 303–321. https://doi.org/10.1016/j.rse.2017.03.035
  • Winters, M., Brauer, M., Setton, E. M., & Teschke, K. (2010). Built environment influences on healthy transportation choices: Bicycling versus driving. Journal of Urban Health : Bulletin of the New York Academy of Medicine, 87(6), 969–993.
  • Winters, M., Davidson, G., Kao, D., & Teschke, K. (2011). Motivators and deterrents of bicycling: Comparing influences on decisions to ride. Transportation, 38(1), 153–168. https://doi.org/10.1007/s11116-010-9284-y
  • Winters, M., Zanotto, M., & Butler, G. (2020). The canadian bikeway comfort and safety (Can-bics) classification system: A common naming convention for cycling infrastructure. Health Promotion and Chronic Disease Prevention in Canada, 40(9), 288–293. https://doi.org/10.24095/hpcdp.40.9.04
  • Wulder, M. A., White, J. C., & Coops, N. C. (2011). Fragmentation regimes of Canada’s forests. The Canadian Geographer / Le Géographe Canadien, 55(3), 288–300. https://doi.org/10.1111/j.1541-0064.2010.00335.x
  • Wulder, M. A., White, J. C., Han, T., Coops, N. C., Cardille, J. A., Holland, T., & Grills, D. (2008). Monitoring Canada’s forests. Part 2: National forest fragmentation and pattern. Canadian Journal of Remote Sensing, 34(6), 563–584. https://doi.org/10.5589/m08-081
  • Yin, J., Soliman, A., Yin, D., & Wang, S. (2017). Depicting urban boundaries from a mobility network of spatial interactions: A case study of Great Britain with geo-located Twitter data. International Journal of Geographical Information Science, 31(7), 1293–1313. https://doi.org/10.1080/13658816.2017.1282615
  • Zorbaugh, H. (1929). The gold coast and the slum: A sociological study of Chicago’snear north side. University of Chicago Press.