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Articles

Investigating the safety impacts of discontinuities in cycle network: A case study of London

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References

  • Aguero-Valverde, J., & Jovanis, P. (2008). Analysis of road crash frequency with spatial models. Transportation Research Record Journal of the Transportation Research Board, 2061, 55–63. doi:10.3141/2061-07
  • Amoh-Gyimah, R., Saberi, M., & Sarvi, M. (2016). Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods. Accident Analysis & Prevention, 93, 147–159. doi:10.1016/j.aap.2016.05.001
  • Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical Analysis, 27(2), 93–115. doi:10.1111/j.1538-4632.1995.tb00338.x
  • Bahrololoom, S., Young, W., & Logan, D. (2020). Modelling injury severity of bicyclists in bicycle-car crashes at intersections. Accident Analysis & Prevention, 144, 105597. doi:10.1016/j.aap.2020.105597
  • Besag, J., York, J., & Mollie, A. (1991). Bayesian image restoration with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics, 43, 1–59. doi:10.1007/BF00116466
  • Brooks, S., & Gelman, A. (1998). Alternative methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7, 434–455. doi:10.2307/1390675
  • Buhl, J., Gautrais, J., Solé, R. V., Kuntz, P., Valverde, S., Deneubourg, J. L., & Theraulaz, G. (2004). Efficiency and robustness in ant networks of galleries. European Physical Journal B, 42, 123–129. doi:10.1140/epjb/e2004-00364-9
  • Cai, Q., Lee, J., Eluru, N., & Abdel-Aty, M. (2016). Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models. Accident Analysis & Prevention, 93, 14–22. doi:10.1016/j.aap.2016.04.018
  • Chen, P. (2015). Built environment factors in explaining the automobile-involved bicycle crash frequencies: A spatial statistic approach. Safety Science, 79, 336–343. doi:10.1016/j.ssci.2015.06.016
  • Chen, P., & Shen, Q. (2016). Built environment effects on cyclist injury severity in automobile-involved bicycle crashes. Accident Analysis & Prevention, 86, 239–246. doi:10.1016/j.aap.2015.11.002
  • City of London. (2018). London Complete Streets Design Manual.
  • DiGioia, J., Watkins, K. E., Xu, Y., Rodgers, M., & Guensler, R. (2017). Safety impacts of bicycle infrastructure: A critical review. Journal of Safety Research, 61, 105–119. doi:10.1016/j.jsr.2017.02.015
  • Ding, H., Sze, N. N., Guo, Y., & Li, H. (2021a). Role of exposure in bicycle safety analysis: Effect of cycle path choice. Accident Analysis & Prevention, 153, 106014. doi:10.1016/j.aap.2021.106014
  • Ding, H., Sze, N. N., Li, H., & Guo, Y. (2020). Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data. Accident Analysis & Prevention, 144, 105652. doi:10.1016/j.aap.2020.105652
  • Ding, H., Sze, N. N., Li, H., & Guo, Y. (2021b). Effect of London cycle hire scheme on bicycle safety. Travel Behaviour and Society, 22, 227–235. doi:10.1016/j.tbs.2020.10.002
  • Dumbaugh, E., & Rae, R. (2009). Safe urban form: Revisiting the relationship between community design and traffic safety. Journal of the American Planning Association, 75(3), 309–329. doi:10.1080/01944360902950349
  • Evans, J. D. (1996). Straightforward statistics for the behavioral sciences. Brooks/Cole Pub. Co., Pacific Grove.
  • Ewing, R., Hamidi, S., & Grace, J. B. (2016). Urban sprawl as a risk factor in motor vehicle crashes. Urban Studies, 53(2), 247–266. doi:10.1177/0042098014562331
  • Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35. doi:10.2307/3033543
  • Guerra, E., Dong, X., & Kondo, M. (2019). Do denser neighborhoods have safer streets? Population density and traffic safety in the Philadelphia region. Journal of Planning Education and Research. doi:10.1177/0739456X19845043
  • Guo, Y., Osama, A., & Sayed, T. (2018). A cross-comparison of different techniques for modeling macro-level cyclist crashes. Accident Analysis & Prevention, 113, 38–46. doi:10.1016/j.aap.2018.01.015
  • Hamann, C., & Peek-Asa, C. (2013). On-road bicycle facilities and bicycle crashes in Iowa, 2007-2010. Accident Analysis & Prevention, 56, 103–109. doi:10.1016/j.aap.2012.12.031
  • Kamel, M. B., Sayed, T., & Osama, A. (2019). Accounting for mediation in cyclist-vehicle crash models: A Bayesian mediation analysis approach. Accident Analysis & Prevention, 131, 122–130. doi:10.1016/j.aap.2019.06.009
  • Kapousizis, G., Goodman, A., & Aldred, R. (2021). Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates. Accident Analysis & Prevention, 154, 106063. doi:10.1016/j.aap.2021.106063
  • Li, D., Lu, D., Zhao, Y., Zhou, M., & Chen, G. (2021). Spatial patterns of vegetation coverage change in giant panda habitat based on MODIS time-series observations and local indicators of spatial association. Ecological Indicators, 124, 107418. doi:10.1016/j.ecolind.2021.107418
  • Li, H., Graham, D. J., & Majumdar, A. (2015). Effects of changes in road network characteristics on road casualties: An application of full Bayes models using panel data. Safety Science, 72, 283–292. doi:10.1016/j.ssci.2014.10.001
  • Li, H., Wu, D., Zhang, Z., & Zhang, Y. (2020). Safety impacts of the discrepancies and accesses between adjacent traffic analysis zones. Journal of Transportation Safety & Security, 14(3), 359–381. doi:10.1080/19439962.2020.1781312
  • Ling, R., Rothman, L., Cloutier, M. S., Macarthur, C., & Howard, A. (2020). Cyclist-motor vehicle collisions before and after implementation of cycle tracks in Toronto, Canada. Accident Analysis & Prevention, 135, 105360. doi:10.1016/j.aap.2019.105360
  • Love, D. C., Breaud, A., Burns, S., Margulies, J., Romano, M., & Lawrence, R. (2012). Is the three-foot bicycle passing law working in Baltimore, Maryland? Accident; Analysis and Prevention, 48, 451–456. doi:10.1016/j.aap.2012.03.002
  • Lusk, A. C., Furth, P. G., Morency, P., Miranda-Moreno, L. F., Willett, W. C., & Dennerlein, J. T. (2011). Risk of injury for bicycling on cycle tracks versus in the street. Injury Prevention, 17(2), 131–135. doi:10.1136/ip.2010.028696
  • Lutz, S. U. (2019). The European digital single market strategy: Local indicators of spatial association 2011–2016. Telecommunications Policy, 43(5), 393–410. doi:10.1016/j.telpol.2018.10.003
  • Madsen, J. C. O., Andersen, T., & Lahrmann, H. S. (2013). Safety effects of permanent running lights for bicycles: A controlled experiment. Accident Analysis & Prevention, 50, 820–829. doi:10.1016/j.aap.2012.07.006
  • Marqués, R., & Hernández-Herrador, V. (2017). On the effect of networks of cycle-tracks on the risk of cycling. The case of Seville. Accident Analysis & Prevention, 102, 181–190. doi:10.1016/j.aap.2017.03.004
  • Marshall, W. E., & Garrick, N. W. (2011). Does street network design affect traffic safety? Accident Analysis & Prevention, 43(3), 769–781. doi:10.1016/j.aap.2010.10.024
  • Merlin, L. A., Guerra, E., & Dumbaugh, E. (2020). Crash risk, crash exposure, and the built environment: A conceptual review. Accident Analysis & Prevention, 134, 105244. doi:10.1016/j.aap.2019.07.020
  • Meuleners, L. B., Fraser, M., Johnson, M., Stevenson, M., Rose, G., & Oxley, J. (2020). Characteristics of the road infrastructure and injurious cyclist crashes resulting in a hospitalisation. Accident Analysis & Prevention, 136, 105407. doi:10.1016/j.aap.2019.105407
  • Morrison, C. N., Thompson, J., Kondo, M. C., & Beck, B. (2019). On-road bicycle lane types, roadway characteristics, and risks for bicycle crashes. Accident Analysis & Prevention, 123, 123–131. doi:10.1016/j.aap.2018.11.017
  • Mukoko, K. K., & Pulugurtha, S. S. (2020). Examining the influence of network, land use, and demographic characteristics to estimate the number of bicycle-vehicle crashes on urban roads. IATSS Research, 44(1), 8–16. doi:10.1016/j.iatssr.2019.04.001
  • Myhrmann, M. S., Janstrup, K. H., Møller, M., & Mabit, S. E. (2021). Factors influencing the injury severity of single-bicycle crashes. Accident Analysis & Prevention, 149. doi:10.1016/j.aap.2020.105875
  • Nabavi Niaki, M. S., Saunier, N., & Miranda-Moreno, L. F. (2019). Is that move safe? Case study of cyclist movements at intersections with cycling discontinuities. Accident Analysis & Prevention, 131, 239–247. doi:10.1016/j.aap.2019.07.006
  • Osama, A., & Sayed, T. (2016). Evaluating the impact of bike network indicators on cyclist safety using macro-level collision prediction models. Accident Analysis & Prevention, 97, 28–37. doi:10.1016/j.aap.2016.08.010
  • Rothman, L., Macarthur, C., To, T., Buliung, R., & Howard, A. (2014). Motor vehicle-pedestrian collisions and walking to school: The role of the built environment. Pediatrics, 133(5), 776–784. doi:10.1542/peds.2013-2317
  • Saha, D., Alluri, P., Gan, A., & Wu, W. (2018). Spatial analysis of macro-level bicycle crashes using the class of conditional autoregressive models. Accident Analysis & Prevention, 118, 166–177. doi:10.1016/j.aap.2018.02.014
  • Siddiqui, C., Abdel-Aty, M., & Choi, K. (2012). Macroscopic spatial analysis of pedestrian and bicycle crashes. Accident Analysis & Prevention, 45, 382–391. doi:10.1016/j.aap.2011.08.003
  • Thomas, B., & De Robertis, M. (2013). The safety of urban cycle tracks: A review of the literature. Accident Analysis & Prevention, 52, 219–227. doi:10.1016/j.aap.2012.12.017
  • Transport for London. (2015). TfL outlines new sites for potential 20 mph speed limits.
  • Transport for London. (2019a). Cycle Infrastructure Database Asset Information Guide.
  • Transport for London. (2019b). Cycling trends update. https://content.tfl.gov.uk/cycling-trends-update.pdf
  • Transport for London. (2020). Travel in London, reports 13. https://content.tfl.gov.uk/travel-in-london-report-13.pdf
  • Wakefield, J. C., Best, N. G., & Waller, L. (2000). Bayesian approaches to disease mapping, on spatial epidemiology: Methods and applications. Oxford University Press.
  • Wang, X., Wu, X., Abdel-Aty, M., & Tremont, P. J. (2013). Investigation of road network features and safety performance. Accident Analysis & Prevention, 56, 22–31. doi:10.1016/j.aap.2013.02.026
  • Wang, X., Yuan, J., Schultz, G. G., & Fang, S. (2018). Investigating the safety impact of roadway network features of suburban arterials in Shanghai. Accident Analysis & Prevention, 113, 137–148. doi:10.1016/j.aap.2018.01.029
  • Wang, Z., Liu, Y., Zhang, Y., Liu, Y., Wang, B., & Zhang, G. (2022). Spatially varying relationships between land subsidence and urbanization: A case study in Wuhan, China. Remote Sensing, 14(2), 291. doi:10.3390/rs14020291
  • Warner, J., Hurwitz, D. S., Monsere, C. M., & Fleskes, K. (2017). A simulator-based analysis of engineering treatments for right-hook bicycle crashes at signalized intersections. Accident Analysis & Prevention, 104, 46–57. doi:10.1016/j.aap.2017.04.021
  • Wei, F., & Lovegrove, G. (2013). An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using negative binomial regression. Accident Analysis & Prevention, 61, 129–137. doi:10.1016/j.aap.2012.05.018
  • Williams, T., Page, S., & Doscher, C. (2018). Spatial characteristics of bicycle–motor vehicle crashes in Christchurch, New Zealand: A case-control approach. Journal of Transport and Land Use, 11, 849–864.
  • Xie, K., Wang, X., Ozbay, K., & Yang, H. (2014). Crash frequency modeling for signalized intersections in a high-density urban road network. Analytic Methods in Accident Research, 2, 39–51.
  • Yasmin, S., & Eluru, N. (2016). Latent segmentation based count models: Analysis of bicycle safety in Montreal and Toronto. Accident Analysis & Prevention, 95(Pt A), 157–171. doi:10.1016/j.aap.2016.07.015
  • Zhang, Y., Bigham, J., Li, Z., Ragland, D., Chen, X. (2013). Associations between road network structure and pedestrian-bicyclist accidents. 92nd Transportation Research Board Annual Meeting Compendium of Papers. No. 13–4316.
  • Zhang, Y., Wang, X., Zeng, P., & Chen, X. (2011). Centrality characteristics of road network patterns of traffic analysis zones. Transportation Research Record: Journal of the Transportation Research Board, 2256(1), 16–24. doi:10.3141/2256-03

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