1. bookVolume 8 (2019): Issue 1 (July 2019)
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
08 Sep 2012
Erscheinungsweise
2 Hefte pro Jahr
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Englisch
access type Open Access

Bicycle Level of Service Model for the Cycloruta, Bogota, Colombia

Online veröffentlicht: 12 Nov 2019
Seitenbereich: 1 - 33
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
08 Sep 2012
Erscheinungsweise
2 Hefte pro Jahr
Sprachen
Englisch

Segment videos were produced at different peaks to reflect different sampling criteria like land use characteristics, trails, Ciclocarrils and Ciclovia. Each segment was filmed for 20–40 seconds during bicycle rides at a speed of about 5km/h with a camera strapped, at an angle of 45 degrees, on the head. Curb lane variables such as bicycle pathway widths, curb lane motorised volume (veh/h) and vehicle speed (km/h), bicycle volume on segment, and median width were recorded in addition to secondary data. About 1,360 ratings were acquired from study participants and used in the estimation process. Ordered probability models were used to estimate random parameters of cyclists LOS perception to account for unobserved heterogeneity for all respondents. The deviance (1.085) and Pearson Chi-Square (2.309) with 1,635 degree of freedom at 0.05 level of significance shows that our model provides a better fit of the data. The study observed that BLOS was strongly influenced by side path separation, vehicle speed, motorised traffic volume and conflicts with pedestrians. However, many other factors were found to have high probabilities to influence level of service with unit change. They include bicycle lane width, wide outside lane, pavement conditions, trees and benches, daylight, gender and experience of cyclist. The impact of the variety of observed factors affecting bicyclists reveal the nature and character of urban transportation in Bogota which suggests a range of important trade-offs in further planning and management of the Cicloruta bicycle paths.

[1] BANISTER D. Sustainable urban development and transport-a Eurovision for 2020. Transport Reviews, 20(1), 113-130, (2000).Search in Google Scholar

[2] BBC News Magazine, 2013 (8 August)Search in Google Scholar

[3] BHAT, C. An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey. Transportation Research Part B: Methodological,33(7),495-510.doi:http://dx.doi.org/10.1016/S0191-2615(99)00003-X, (1999).10.1016/S0191-2615(99)00003-X,(1999)Open DOISearch in Google Scholar

[4] BOHLE, W. Attractiveness of bicycle-facilities for the users and evaluation of measures for the cycle-traffic. Paper presented at the Traffic Safety on Two Continents Conference (pp. 89-94), (2000).Search in Google Scholar

[5] CERVERO, R. Progressive Transport and the Poor: Bogota’s Bold Steps Forward.(2005).Search in Google Scholar

[6] DAVIS, W. J. Bicycle safety evaluation. Auburn University. (1987).Search in Google Scholar

[7] DIXON, L. B. Bicycle and pedestrian level-of-service performance measures and standards for congestion management systems. Transportation Research Record: Journal of the Transportation Research Board, 1538(1), 1-9. (1996).Search in Google Scholar

[8] EDDY, N. Developing a level of service for bicycle use. Paper presented at the Pro Bike Pro Walk 96: Forecasting the future, Portland, Me. (1996).Search in Google Scholar

[9] EPPERSON, B. Evaluating suitability of roadways for bicycle use: Toward a cycling level-of-service standard. In Transportation Research Record 1438, TRB, National Research Council Board, Washington, DC. (1994).Search in Google Scholar

[10] FRIDSTRØM, L., IFVER, J., INGEBRIGTSEN, S., KULMALA, R., & THOMSEN, L. K. Measuring the contribution of randomness, exposure, weather, and daylight to the variation in road accident counts. Accident Analysis & Prevention, 27(1), 1-20. doi: http://dx.doi.org/10.1016/0001-4575(94)E0023-E. 1995.Search in Google Scholar

[11] GARRARD, J., ROSE, G., & LO, S. K. Promoting transportation cycling for women: The role of bicycle infrastructure. Preventive Medicine, 46(1), 55-59. doi: http://dx.doi.org/10.1016/j.ypmed.2007.07.010(2008).10.1016/j.ypmed.2007.07.010(2008)Open DOISearch in Google Scholar

[12] GREENE, W. H., &HENSHER, D. A. Modelling ordered choices: New York (2009).Search in Google Scholar

[13] HANKEY, S., LINDSEY, G., WANG, X., BORAH, J., HOFF, K., UTECHT, B., &XU, Z. Estimating use of non-motorized infrastructure: Models of bicycle and pedestrian traffic in Minneapolis, MN. Landscape and Urban Planning, 107(3), 307-316. doi: http://dx.doi.org/10.1016/j.landurbplan.2012.06.005. (2012).10.1016/j.landurbplan.2012.06.005.(2012)Open DOISearch in Google Scholar

[14] HARKEY, D. L., REINFURT, D. W., &KNUIMAN, M. Development of the bicycle compatibility index. Transportation Research Record: Journal of the Transportation Research Board, 1636(1), 13-20. (1998).Search in Google Scholar

[15] HICKMAN, R., SAXENA, S., BANISTER, D., &ASHIRU, O. Examining transport futures with scenario analysis and MCA. Transportation Research Part A: Policy and Practice, 46(3), 560-575. doi: http://dx.doi.org/10.1016/j.tra.2011.11.006(2012).10.1016/j.tra.2011.11.006(2012)Open DOISearch in Google Scholar

[16] HULL, A. Transport matters: integrated approaches to planning city-regions: Routledge Ltd. (2010).Search in Google Scholar

[17] HCM Highway Capacity Manual, Transportation Research Board, National Research Council, Washington D.C.. (2000).Search in Google Scholar

[18] IDU. Ciclorutas. Instituto de Desarrollo Urbano (IDU), City of Bogota, Colombia. Available at: http://www.idu.gov.co/web/guest/espacio_Ciclorutas. (2009).Search in Google Scholar

[19] JENSEN, S. U. Pedestrian and Bicyclist Level of Service on Roadway Segments. Transportation Research Record: Journal of the Transportation Research Board, 2031(1), 43-51. (2007).Search in Google Scholar

[20] KANG, K., & LEE, K. Development of a bicycle level of service model from the user‘s perspective. KSCE Journal of Civil Engineering, 16(6), 1032-1039. (2012).Search in Google Scholar

[21] KENWORTHY, J. R. Chapter 9 - Energy Use and CO2 Production in the Urban Passenger Transport Systems of 84 International Cities: Findings and Policy Implications. In D. Peter (Ed.), Urban Energy Transition (pp. 211-236). Amsterdam: Elsevier. (2008).Search in Google Scholar

[22] KMOCT Korean highway capacity manual, Korean Ministry of Construction and Transportation.Gwacheoun (2001).Search in Google Scholar

[23] LANDIS, B. W., VATTIKUTI, V. R., OTTENBERG, R. M., MCLEOD, D. S., &GUTTENPLAN, M. Modeling the roadside walking environment: pedestrian level of service. Transportation Research Record: Journal of the Transportation Research Board, 1773(1), 82-88. (2001).Search in Google Scholar

[24] LANDIS, B. W., VATTIKUTI, V. R., &BRANNICK, M. T. Real-time human perceptions: toward a bicycle level of service. Transportation Research Record: Journal of the Transportation Research Board, 1578(1), 119-126 (1997).Search in Google Scholar

[25] LANDIS, B. W. Bicycle interaction hazard score: a theoretical model. Transportation Research Record 1438, TRB, National Research Council, Washington, DC, 3-8. (1994).Search in Google Scholar

[26] LANDIS, B. W. Bicycle System Performance Measures: The Interaction Hazard and Latent Demand Score Models. ITE Journal, 66(2). (1996).Search in Google Scholar

[27] LANDIS, B. W., VATTIKUTI, V. R., OTTENBERG, R. M., PETRITSCH, T. A., GUTTENPLAN, M., & CRIDER, L. B. Intersection level of service for the bicycle through movement. Transportation Research Record: Journal of the Transportation Research Board, 1828(1), 101-106. (2003).Search in Google Scholar

[28] MCPB. Fiscal year 94 Annual Growth Policy. Motgomery County Planning Board and Maryland National Capital Park and Planning Commission, Dec, 1992.Search in Google Scholar

[29] MOHAN, D., &TIWARI, G. Sustainable transport systems: Linkages between environmental issues, public transport, non-motorised transport and safety. Economic and Political Weekly, 1589-1596. (1999).Search in Google Scholar

[30] NELDER, J. A., &WEDDERBURN, R. W. M. (1972). Generalized Linear Models.Journal of the Royal Statistical Society. Series A (General), 135(3), 370-384. doi: 10.2307/234461410.2307/2344614Open DOISearch in Google Scholar

[31] OKON, I., BRUSSEL, M. J. G., VAN DEN BOSCH, F. H. M., MORENO, C. A., and van Maarseveen, M. F. A. M. A statistical approach to the estimation of bicycle level of service models for the Cicloruta in Bogota, Colombia. Urban Transport XXIII, Vol 176, 265-282. doi:10.2495/UT170231 (2018)10.2495/UT170231(2018Open DOISearch in Google Scholar

[32] PROVIDELO, J. K., & DA PENHASANCHES, S. Roadway and traffic characteristics for bicycling. Transportation, 38(5), 765-777. (2011).Search in Google Scholar

[33] QI, Y., SMITH, B. L., &GUO, J. Freeway accident likelihood prediction using a panel data analysis approach. Journal of transportation engineering, 133(3), 149-156. (2007).Search in Google Scholar

[34] RCI. Florida Road Index, Development of the Bicycle Compatibility Index: A level of service concept. Retrieved from(1998).Search in Google Scholar

[35] SENER, ELURU, &BHAT, An analysis of bicycle route choice preferences in Texas, US.Transportation, 36(5), 511-539, 2009Search in Google Scholar

[36] SISSON, S. B., LEE, S. M., BURNS, E. K., & TUDOR-LOCKE, C. Suitability of Commuting by Bicycle to Arizona Elementary Schools. American Journal of Health Promotion, 20(3), 210-213. doi: 10.4278/0890-1171-20.3.210 (2006).10.4278/0890-1171-20.3.210(2006)Open DOISearch in Google Scholar

[37] SORTON, A., & WALSH, T. Bicycle stress level as a tool to evaluate urban and suburban bicycle compatibility. Transportation Research Record, TRB, National Research Council, Washington, D. C., 17-24. (1994).Search in Google Scholar

[38] TITZE, S., STRONEGGER, W. J., JANSCHITZ, S., &OJA, P. Association of built-environment, socialenvironment and personal factors with bicycling as a mode of transportation among Austrian city dwellers. Preventive Medicine, 47(3), 252-259. doi: http://dx.doi.org/10.1016/j.ypmed.2008.02.019(2008).10.1016/j.ypmed.2008.02.019(2008)Open DOISearch in Google Scholar

[39] WASHINGTON, S. P., KARLAFTIS, M. G., & MANNERING, F. L. Statistical and econometric methods for transportation data analysis: CRC press. (2011).Search in Google Scholar

[40] WHYTE, W. H. City: Rediscovering the center: University of Pennsylvania Press. (1988).Search in Google Scholar

[41] WHO.: Road traffic accidents death rate by country. World Health Organisation (2011).Search in Google Scholar

[42] WEY, W.-M., & CHIU, Y.-H. Assessing the walkability of pedestrian environment under the transitoriented development. Habitat International, 38(0), 106-118. doi:http://dx.doi.org/10.1016/j.habitatint.2012.05.004(2013).Search in Google Scholar

[43] YAZID, M. R. M., ISMAIL, R., &ATIQ, R. The Use of Non-Motorized For Sustainable Transportation in Malaysia.Procedia Engineering, 20(0), 125-134. doi:http://dx.doi.org/10.1016/j.proeng.2011.11.147. (2011).Search in Google Scholar

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