A Study on Cyclists Behaviour and Bicycles Kinematic

A Study on Cyclists Behaviour and Bicycles Kinematic

Alfonso Micucci Maurizio Sangermano

DICAM, University of Bologna, Italy

Page: 
14-28
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DOI: 
https://doi.org/10.2495/TDI-V4-N1-14-28
Received: 
N/A
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Revised: 
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Accepted: 
N/A
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Available online: 
N/A
| Citation

© 2020 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

A study on cyclists’ behaviour and bicycle kinematic was conducted to determine the behavioural characteristics and kinetic representatives, as they are closely linked. The study focused on the behaviour of cyclists at road intersections and on cycle paths, including the crossing speeds, the accelerations, the time spent covering a fixed distance, as well as the most complex and dynamic part of the road transport system, the human factor. Whether the road users follow the laws of traffic and adopt a cautious and considerate driving attitude has a great impact on road safety. Video cameras placed at different locations were used to collect traffic data. A post processing phase to analyze the data followed. Interesting groups behaviour of cyclists were identified, as well as many characteristics curves related to the kinematic parameters. In general, a poor attitude towards compliance with behavioural rules has emerged in the medium-sized city of Bologna, Italy, especially for male cyclists.

In addition, the average flow speed was observed under normal conditions, resulting in the order of 4 m/s. The results obtained are useful for understanding the performance of mixed traffic at intersection and on bicycle lanes, as well as building a basis for road accident reconstruction.

Keywords: 

safety & hazards, traffic engineering, cyclists’ behaviour, bicycle kinematic, traffic accident reconstruction, crash analysis

  References

[1] Rietveld, P., Determinants of bicycle use: do municipal policies matter? Transportation Research Part A, 38, pp. 531–550, 2004.

[2] Pucher, J. & Buehler, R., Why Canadians cycle more than Americans: a comparative analysis of bicycling trends and policies. Transport Policy, 13(3), pp. 265–279, 2006.

[3] Zacharias, J., Non-motorized transportation in four Shanghai districts. International Planning Studies, 10(3–4), pp. 323–340, 2005.

[4] Garrard, J., Rose, G. & Lo, S.K., Promoting transportation cycling for women: the role of bicycle infrastructure. Preventive Medicine, 46(1), pp. 55–59, 2008.

[5] Howard McDonald, C. & Burns, E.K, Cycling to Work in Phoenix: Route Choice, Travel Behavior, and Commuter Characteristics, Transportation Research Board: Washington, DC, 2001.

[6] Southworth, M., Designing the walkable city. Journal of Urban Planning and Development, 131(4), pp. 246–257, 2005.

[7] Taylor, D. & Mahmassani, H., Analysis of stated preferences for intermodal bicycletransit interfaces. Transportation Research Record, 1556, pp. 86–95, 1996.

[8] Hunt, J.D. & Abraham, J.E., Influences on bicycle use. Transportation, 34, vitettpp. 453–470, 2007.

[9] Dill, J. & Voros, K., Factors Affecting Bicycling Demand: Initial Survey Findings from the Portland Region, Transportation Research Board: Washington, DC, 2007.

[10] Stinson, M. A. and Bhat, C. R. (2003) An Analysis of Commuter Bicyclist Route Choice Using Stated Preference Survey (Washington, DC: Transportation Research Board).

[11] Rupi, F. & Schweizer, J., Evaluating cyclist patterns using GPS data from smartphones. IET Intelligent Transport Systems, 2018. In press. DOI: 10.1049/iet-its.2017.0285.

[12] Bernardi, S., Krizek, K.J. & Rupi, F., Quantifying the role of disturbances and speeds on separated bicycle facilities. Journal of Transport and Land Use, 9(2), pp. 105–119, 2016.

[13] Micucci, A., Mantecchini, L. & Sangermano M., Analysis of the relationship between turning signal detection and motorcycle driver’s characteristics on urban roads; a case study. Sensors, 19(8), p. 1802, 2019. DOI: 10.3390/s19081802.

[14] Bardi A., Mantecchini L., Grasso D., Paganelli F., Malandri C., Flexible Mobile Hub for E-Bike Sharing and Cruise Tourism: A Case Study, Sustainability 2019, 11, 5462; doi:10.3390/su11195462

[15] Cervero, R., Built environments and mode choice: toward a normative framework. Transportation Research Part D: Transport and Environment, 7(4), pp. 265–284, 2002.

[16] Räsänen, M. & Summala, H., Attention and expectation problems in bicycle-car collisions: an in-depth study. Accident Analysis and Prevention, 30(5), pp. 657–666, 1998.

[17] Stinson, M.A. & Bhat, C.R., A Comparison of the Route Preferences of Experienced and Inexperienced Bicycle Commuters, Transportation Research Board: Washington, DC, 2005.

[18] Klobucar, M.S. & Fricker, J.D., A Network Evaluation Tool to Improve Real and Perceived Bicycle Safety (Transportation Research Board: Washington, DC, 2007.

[19] Petritsch, T.A., Landis, B.W., Huang, H.F. & Challa, S., Sidepath Safety Model: Bicycle Sidepath Design Factors Affecting Crash Rates, Transportation Research Board: Washington, DC, 2006.

[20] Shankwiler, K.D., Developing a framework for behaviour assessment of bicycling commuters: a cyclist-centric approach, School of Industrial Design, p. 87, Georgia Institute of Technology: Atlanta, 2006.

[21] Bai, L., Liu, P., Chen, Y., Zhang, X., & Wang, W., Comparative analysis of the safety effects of electric bikes at signalized intersections. Transportation Research Part D: Transport and Environment, 20, pp. 48–54, 2013.

[22] Cherry, C.R., Hill, T.Q., & Xiong, J., Assessing countermeasures designed to reduce hazards between bike lane occupants and right-turning automobiles in China. Journal of Transportation Safety and Security, 4, pp. 277–294, 2012.

[23] Sayed, T., Zaki, M. H., & Autey, J. Automated safety diagnosis of vehicle-bicycle interactions using computer vision analysis. Safety Science, 59, pp. 163–172, 2013.

[24] Klassen, J., El-Basyouny, K., & Islam, M.T., Analysing the severity of bicycle-motor vehicle collision using spatial mixed logit models: a city of edmonton case study. Safety Science, 62, pp. 295–304, 2014.

[25] Li, Z., Wang, W., Liu, P. & Ragland, D.R., Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities. Transportation Research Part D: Transport and Environment, 17(3), pp. 256–261, 2012.

[26] Bella, F. & Silvestri, M., Interaction driver–bicyclist on rural roads: effects of cross-sections and road geometric elements. Accident Analysis & Prevention, 102, pp. 191–201, 2017.

[27] Rupi, F. et al, Monitoraggio dei flussi di biciclette sulle principali piste ciclabili del Comune di Bologna, http://www.comune.bologna.it/media/files/flussi_ciclabili_2011_ relazione_universit_bologna.pdf (accessed 27 August 2019)

[28] Fraboni F., Marín Puchades V., De Angelis M., Pietrantoni L. & Prati G., Red-light running behavior of cyclists in Italy: an observational study. Accident Analysis and Prevention, 120, pp. 219–232, 2018.