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Research Article

Condition assessment of cycle path texture and evenness using a bicycle measurement trailer

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Article: 2262085 | Received 23 Feb 2023, Accepted 18 Sep 2023, Published online: 04 Oct 2023

References

  • Alm, J., and Koglin, T., 2020. Planering för strategisk cykelinfrastruktur. Working paper 2020:6, Lund: K2. (In Swedish).
  • Barrero, G. A., and Rodriguez-Valencia, A., 2021. Asking the user: a perceptional approach for bicycle infrastructure design. International Journal of Sustainable Transportation, 16 (3), 246–257. doi:10.1080/15568318.2020.1871127.
  • Bergström, A., and Magnusson, R., 2003. Potential of transferring car trips to bicycle during winter. Transportation Research Part A, 37 (8), 649–666. doi:10.1016/S0965-8564(03)00012-0.
  • Bíl, M., Andrášik, R., and Kubeček, J., 2015. How comfortable are your cycling tracks? A new method for objective bicycle vibration measurement. Transportation Research Part C, 56, 415–425. doi:10.1016/j.trc.2015.05.007.
  • Cairney, P., and King, K., 2003. Development of a performance based specification for a major bicycle facility. Melbourne, Australia: ARRB Transport Research. Research Report ARR 358.
  • Chou, C.-P., et al., 2015. Simulation of bicycle-riding smoothness by bicycle motion analysis model. Journal of Transportation Engineering, 141 (12). doi:10.1061/(ASCE)TE.1943-5436.0000802.
  • De Swaef, A., ed. 2019. Instrumenten voor wegbeheerders - steekkaart 1 APL – meting van de langsvlakheid van wegen. Brussels: OCW. Synthese SN 48. (In Dutch).
  • Dewanckele, J., 2017. Determination of the driving comfort of bicyle paths. Thesis (MSc). Ghent University.
  • Durst, P. J., et al., 2011. Predicting RMS surface roughness using fractal dimension and PSD parameters. Journal of Terramechanics, 48 (2), 105–111. doi:10.1016/j.jterra.2010.05.004.
  • FHWA, 2005. Achieving a high level of smoothness in concrete pavements without sacrificing long-term performance. Washington D C, USA: Federal Highway Administration. Available from: https://www.fhwa.dot.gov/publications/research/infrastructure/pavements/pccp/05068/002.cfm [Accessed 18 September 2022].
  • Gao, J., et al., 2018. Evaluating the cycling comfort on urban roads based on cyclists’ perception of vibration. Journal of Cleaner Production, 192, 531–541. doi:10.1016/j.jclepro.2018.04.275.
  • Giubilato, F., and Petrone, N., 2012. A method for evaluating the vibrational response of racing bicycles wheels under road roughness excitation. Procedia Engineering, 34, 409–414. doi:10.1016/j.proeng.2012.04.070.
  • Gorski, M., 1981. Studie over de vlakheid van wegdekken in langsrichting. Technical Report RV 15/81. Brussels, Belgium: Opzoekingscentrum voor de Wegenbouw (Belgian Road Research Center). (In Dutch).
  • Harkey, D., et al., 1998. Development of the bicycle compatibility index: a level of service concept, final report, Report No. FHWA-RD-98-072. Washington, DC, USA: Federal Highway Administration.
  • Hoegh, K., Khazanovich, L., and Jensen, M., 2010. Local calibration of mechanistic–empirical pavement design guide rutting model. Transportation Research Record: Journal of the Transportation Research Board, 2180 (1), 130–141. doi:10.3141/2180-15.
  • Hölzel, C., Höchtl, F., and Senner, V., 2012. Cycling comfort on different road surfaces. Procedia Engineering, 34, 479–484. doi:10.1016/j.proeng.2012.04.082.
  • Hull, A., and O’Holleran, C., 2014. Bicycle infrastructure: can good design encourage cycling? Urban, Planning and Transport Research, 2 (1), 369–406. doi:10.1080/21650020.2014.955210.
  • International Organization for Standardization, 2002. Characterization of pavement texture by use of surface profiles — Part 2: Terminology and basic requirements related to pavement texture profile analysis (ISO Standard no. 13473-2). [Online] Available from: https://www.iso.org/obp/ui/fr/#iso:std:iso:13473:-2:ed-1:v1:en.
  • Joo, S., et al., 2015. Categorizing bicycling environments using GPS-based public bicycle speed data. Transportation Research Part C, 56, 239–250. doi:10.1016/j.trc.2015.04.012.
  • Joo, S., and Oh, C., 2013. A novel method to monitor bicycling environments. Transportation Research Part A, 54, 1–13. doi:10.1016/j.tra.2013.07.001.
  • Landis, B. W., Vattikuti, V. R., and Brannick, M. T., 1997. Real-time human perceptions toward a bicycle level of service. Transportation Research Record, 1578 (1), 119–126. doi:10.3141/1578-15.
  • Laurent, J., Hébert, J. F., Lefebvre, D. and Savard, Y., 2012. Using 3D laser profiling sensors for the automated measurement of road surface conditions. In: A. Scarpas, N. Kringos, I. Al-Qadi and A. Loizos, eds. 7th RILEM international conference on cracking in pavements. Delft, The Netherlands: RILEM, 157-167.
  • Lee, C., and Moudon, A. V., 2008. Neighbourhood design and physical activity. Building Research & Information, 36 (5), 395–411. doi:10.1080/09613210802045547.
  • Linden, J., and Bohrmann, N., 2012. The cycling mode share in cities. Berlin, Germany: German Institute of Urban Affairs. Analysis A-9.
  • Litzenberger, S., et al., 2018. Prediction of road surface quality during cycling using smartphone accelerometer data. Proceedings, 2 (6), 217. doi:10.3390/proceedings2060217.
  • Lynch, J., and Dutta, U., 2010. Transportation informatics: advanced image processing techiniques for automated pavement distress evaluation. Detroit: Michigan Ohio University Transportation Center. . MIOH UTC TS18p2 2010-Final-UDM.
  • Mariunus, E., et al., 2008. Trillingen. Eindhoven: Arbokennisnet. (In Dutch).
  • Nankervis, M., 1999. The effect of weather and climate on bicycle commuting. Transportation Research: Part A, 33 (6), 417–431. doi:10.1016/S0965-8564(98)00022-6.
  • Niska, A., and Sjögren, L., 2014. Mobilapp för mätning av cykelvägars ojämnheter. En studie av möjligheterna. Linköping, Sweden: the Swedish National Road and Transport Research Institute. Report 839. (In Swedish).
  • Niska, A., Sjögren, L., and Gustafsson, M., 2011. Jämnhetsmätning på cykelvägar - Utveckling och test av metod för att bedöma cyklisters åkkvalitet baserat på cykelvägens längsprofil. Linköping, Sweden: VTI. Report 699. (In Swedish).
  • Olieman, M., Marin-Perianu, R., and Marin-Perianu, M., 2012. Measurement of dynamic comfort in cycling using wireless acceleration sensors. Procedia Engineering, 34, 568–573. doi:10.1016/j.proeng.2012.04.097.
  • Roberts, R., Inzerillo, L., and Di Mino, G., 2020. Using UAV based 3D modelling to provide smart monitoring of road pavement conditions. Information, 11 (12), 568. doi:10.3390/info11120568.
  • Sayers, M. W., Gillespie, T. D. and Paterson, W. D. O., 1986. Guidelines for conducting and calibrating road roughness measurements, Washington D C, USA: The World Bank.
  • Sayers, M. W., and Karamihas, S. M., 1996. Interpretation of road roughness profile data. Washington D C, United States: Federal Highway Administration.
  • Sayers, M. W., and Karamihas, S. M., 1998. The little book of profiling. basic information about measuring and interpreting road profiles. Ann Arbor, Michigan, USA: The Regents of the University of Michigan.
  • Schepers, P., and Klein Wolt, K., 2012. Single-bicycle crash types and characteristics. Cycling Research International, 2, 119–135.
  • Sjögren, L., 2021. Kanter i cykelvägars tvärriktning, Linköping, Sweden: the Swedish National Road and Transport Research Institute. Report 1102. (In Swedish).
  • Swedish government, 2017. A national cycling strategy for more and safer cycling. [Online] Available from: https://www.government.se/49e190/contentassets/cff15923ae5848a386280eaa9d3e3c2e/20170608_faktablad_cykelstrategi_eng_webb-2.pdf [Accessed 1 April 2022].
  • Thigpen, C. G., et al., 2015. Modeling the impact of pavement roughness on bicycle ride quality. Transportation Research Record: Journal of the Transportation Research Board, 2520 (1), 67–77. doi:10.3141/2520-09.
  • Van Geem, C., and Beaumesnil, B., 2012. Evaluation of longitudinal evenness of a newly constructed road section: a detailed study of different evenness measurements. Norfolk, Virginia, USA: World Road Association.
  • Wang, F., and Easa, S., 2016. Analytical evaluation of ride comfort on asphalt concrete pavements. Journal of Testing and Evaluation, 44 (4), doi:10.1520/JTE20140339.
  • Yamanaka, H., Xiaodong, P., and Sanada, J., 2013. Evaluation models for cyclists’ perception using probe bicycle system. Proceedings of the Eastern Asia Society for Transportation Studies, 10, 1413–1425. doi:10.11175/easts.10.1413.
  • Zang, K., et al., 2018. Assessing and mapping of road surface roughness based on GPS and accelerometer sensors on bicycle-mounted smartphones. Sensors, 18 (3), 914–941. doi:10.3390/s18030914.