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Research Article

Identification of cycle lane priorities based on observed and potential cyclist trips using GIS, the case of the Metropolitan Area of Mendoza, Argentina

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Pages 412-432 | Received 09 Mar 2022, Accepted 29 Jun 2022, Published online: 03 Aug 2022

References

  • Allen, H., Pereya, L., Sagaris, L., and Cadenas, G. CAF. (2015). Ella se mueve segura - She moves safely: A study on women‘s personal security and public transport in three latin American Cities. (United Kingdom: FIA Foundation). Retrieved 5 2 2019. http://www.fiafoundation.org/connect/publications/safe-and-sound
  • Anderson, T. (2007). Comparison of spatial methods for measuring road accident ‘hotspots’: A case study of London. Journal of Maps, 3(1), 55–63. https://doi.org/10.1080/jom.2007.9710827
  • Ashqar, H. I., Almannaa, M. H., Elhenawy, M., Rakha, H. A., & House, L. (2019). Smartphone transportation mode recognition using a hierarchical machine learning classifier and pooled features from time and frequency domains. IEEE Transactions on Intelligent Transportation Systems, 20(1), 244–252. https://doi.org/10.1109/TITS.2018.2817658
  • Austin, K., Tight, M., & Kirby, H. (1997). The use of geographical information systems to enhance road safety analysis. Transportation Planning and Technology, 20(4), 249–266. https://doi.org/10.1080/03081069708717592
  • Bell, A. C., Garrard, J., & Swinburn, B. A. (2006). Active transport to work in Australia: Is it all downhill from here? Asia Pacific Journal of Public Health, 18(1), 62–68. https://doi.org/10.1177/10105395060180011001
  • Biljecki, F., Ledoux, H., & Oosterom, P. (2013). Transportation mode-based segmentation and classification of movement trajectories. International Journal of Geographical Information Science, 27(2), 385–407. https://doi.org/10.1080/13658816.2012.692791
  • Broach, J. (2019). Bicycle planning GIS tool. NITC-TT-1189. Transportation Research and Education Center (TREC). https://doi.org/10.15760/tr2019)ec.225
  • Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125(3), 367. https://doi.org/10.1037/0033-2909.125.3.367
  • CAF, 2010. Observatorio de Movilidad Urbana para América Latina. http://scioteca.caf.com/handle/123456789/420
  • Canavire-Bacarreza, G., Duque, J. C., & Urrego, J. A., 2016. Moving citizens and deterring criminals: innovation in public transport facilities. Working paper; N° 2016/15, Buenos Aires: CAF. http://scioteca.caf.com/handle/123456789/978
  • Castro, M., & De Santos-Berbel, C. (2015). Spatial analysis of geometric design consistency and road sight distance. International Journal of Geographical Information Science, 29(12), 2061–2074. https://doi.org/10.1080/13658816.2015.1037304
  • Cervero, R., Sarmiento, O., Jacoby, E., Gomez, L., & Neiman, A. (2009). Influences of built environments on walking and cycling: Lessons from Bogota . International Journal of Sustainable Transportation, 3(4), 203–226. https://doi.org/10.1080/15568310802178314
  • Dill, J., & Carr, T. (2003). Bicycle commuting and facilities in major US cities: If you build them, commuters will use them. Transportation Research Record, 1828(1), 116–123. https://doi.org/10.3141/1828-14
  • Endo, Y., Toda, H., Nishida, K., & Kawanobe, A. (2016). Deep feature extraction from trajectories for transportation mode estimation. In J. Bailey et al (Eds.), Advances in knowledge discovery and data mining (pp. 54–66). Springer International Publishing.
  • Estupiñán, N., Scorcia, H., Navas, C., Zegras, C., Rodríguez, D., Vergel - Tovar, E., & Vasconcellos, E., 2018. Transporte y Desarrollo en América Latina, 1, (Caracas: CAF). http://scioteca.caf.com/handle/123456789/1186
  • Forrester, J. (2001). The bicycle transportation controversy. Transportation Quarterly, 55(2), 7–17.
  • Garrard, J. (2003). Healthy revolutions: Promoting cycling among women. Health Promotion Journal of Australia, 14(3), 213–215. https://doi.org/10.1071/HE03213.
  • Garrard, J., Rose, G., & Lo, S. K. (2008). Promoting transportation cycling for women: The role of bicycle infrastructure. Preventive Medicine, 46(1), 55–59. https://doi.org/10.1016/j.ypmed.2007.07.010
  • Goel, R., Goodman, A., Aldred, R., Nakamura, R., Tatah, L., Totaro Garcia, L. M., Zapata-Diomedi, B., Herick de Sa, T., Tiwari, G., de Nazelle, A., Tainio, M., Buehler, R., Götschi, T., & Woodcock, J. (2022). Cycling behaviour in 17 countries across 6 continents: Levels of cycling, who cycles, for what purpose, and how far? Transport Reviews, 42(1), 58–81. https://doi.org/10.1080/01441647.2021.1915898
  • Goldsmith, S. A. (1993). National bicycling and walking study. Case study no. 1: Reasons why bicycling and walking are and are not being used more extensively as travel modes, No. FHWA-PD-92-041. (USA: U.S. Dept. of Transportation, Federal Highway Administration).
  • Gomez, L. M., 2000. Gender analysis of two components of the world bank transport projects in Lima, Peru: Bikepaths and Busways. World Bank Internal Report, World Bank.
  • Guitink, P., & Flora, J., 1995. Non motorized transportation in transportation systems: Back to the future? In TRB 74th Conference, Washington.
  • Gwilliam, K. M. . (2002). Cities on the move. A world bank urban transport strategy review, 1:24910. (Washington DC: World Bank). http://documents.worldbank.org/curated/en/928301468762905413/Cities-on-the-Move-A-World-Bank-Urban-Transport-Strategy-Review .
  • Handy, S. L., & Xing, Y. (2011). Factors correlated with bicycle commuting: A study in six small US. Cities. International Journal of Sustainable Transportation, 5(2), 91–110. https://doi.org/10.1080/15568310903514789
  • Haustein, S., Koglin, T., Sick Nielsen, T. A., & Svensson, A. (2019). A comparison of cycling cultures in Stockholm and Copenhagen. International Journal of Sustainable Transportation. https://doi.org/10.1080/15568318.2018.1547463
  • Hook, W. (2005). Training Course : Non-Motorised Transport. (Germany: Zusammenarbeit, Deutsche Gesellschaft fur Technische (GTZ) GmbH). http://transferproject.org/wp-content/uploads/2017/09/Non-motorized-transport.pdf.
  • Horner, M. W., & Grubesic, T. H. (2001). A GIS-based planning approach to locating urban rail terminals. Transportation, 28(February 2001), 55–77. https://doi.org/10.1023/A:1005204010958.
  • Hull, A., & O’Holleran, C. (2014). Bicycle infrastructure: Can good design encourage cycling? Urban, Planning and Transport Research, 2(1), 369–406. https://doi.org/10.1080/21650020.2014.955210
  • Jang, K., Park, S. H., Kang, S., Song, K. H., Kang, S., and Chung, S., et al., 2013. Evaluation of pedestrian safety: Geographical identification of pedestrian crash hotspots and evaluating risk factors for injury severity, TRB Annual Meeting
  • Jensen, S. (2007). Safety effects of blue cycle crossings: A before-after study. Accident Analysis and Prevention, 40(2), 742–750. https://doi.org/10.1016/j.aap.2007.09.016
  • Kim, K., & Levine, N. (1996). Using GIS to improve highway safety. Computers, Environment and Urban Systems, 20(4), 289–302. https://doi.org/10.1016/S0198-9715(96)00022-1
  • Landis, B. W., Vattikuti, V. R., & Brannick, M. T. (1997). Real-Time human perceptions: toward a bicycle level of service. Transportation research Board. In Transportation research record 1578. TRB National Research Council.
  • Larsen, J., Patterson, Z., & El-Geneidy, A. (2013). Build it. but where? The use of geographic information systems in identifying locations for new cycling infrastructure. International Journal of Sustainable Transportation, 7(4), 299–317. https://doi.org/10.1080/15568318.2011.631098.
  • Levine, N., Kim, K., & Nitz, L. (1995). Spatial analysis of Honolulu motor vehicle crashes: Part II: Zonal predictions. Accident Analysis and Prevention, 27(5), 675–685. https://doi.org/10.1016/0001-4575(95)00018-U
  • Li, W., Wang, S., Zhang, X., Jia, Q., & Tian, Y. (2020). Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories. International Journal of Geographical Information Science, 34(12), 2451 2474. https://doi.org/10.1080/13658816.2020.1712401
  • 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: Journal of the International Society for Child and Adolescent Injury Prevention, 17(2), 131–135. https://doi.org/10.1136/ip.2010.028696
  • Mekuria, M. C. , Furth, P. G. , and Nixon, H. . (2012). Low-Stress bicycling and network connectivity. (California: Mineta Institute). https://transweb.sjsu.edu/sites/default/files/1005-low-stress-bicycling-network-connectivity.pdf.
  • Merom, D., Bauman, A., Vita, F., & Close, G. (2003). An environmental intervention to promote walking and cycling—the impact of a newly constructed rail trail in Western Sydney. Preventive Medicine, 36(2), 235–242. https://doi.org/10.1016/S0091-7435(02)00025-7
  • Milakis, D., & Athanasopoulos, K. (2014). What about people in cycle network planning? Applying participative multicriteria GIS analysis in the case of the Athens metropolitan cycle network. Journal of Transport Geography, 35(February 2014), 120–129. https://doi.org/10.1016/j.jtrangeo.2014.01.009.
  • Ministry of Transport of Mendoza, 2010. Comprehensive mobility plan for greater Mendoza 2030. http://dami.uec.gov.ar/wp-content/uploads/2014/10/dami.uec.gov.ar_plan-integral-de-movilidad-gran-mendoza.pdf
  • Montezuma, R., 2015. Sistemas Públicos de Bicicletas para América Latina. Guía práctica para implementación. CAF; Fundación Ciudad Humana. http://scioteca.caf.com/handle/123456789/745
  • Moudon, A., Lee, C., Cheadle, A., Collier, C., Johnson, D., Schmid, T., & Weather, R. (2005). Cycling and the built environment, a US perspective. Transportation Research Part D, 10(3), 245–261. https://doi.org/10.1016/j.trd.2005.04.001
  • Nelson, A., & Allen, D. (1997). If you build them, commuters will use them: The association between bicycle facilities and bicycle commuting. Transportation Research Record, 1578(1), 79–83. https://doi.org/10.3141/1578-10
  • Ortiz, F., 2018. Cycleway masterplan for the metropolitan area of Mendoza. Project commissioned by the Mendoza government and Unicipio. Interamerican Development Bank. https://www.mendoza.gov.ar/unicipio//wp-content/uploads/sites/32/2018/11/Ciclovias.pdf
  • Parkin, J., Ryley, T., & Jones, T. (2007). Barriers to cycling: An exploration of quantitative analyses (Civil Engineering: Book Chapters). In P. Rosen, P. Cox & D. Horton (Eds.), Cycling and society. Ashgate.
  • PTUMA, 2011. Mendoza Origin-Destination survey 2010. http://uecmovilidad.gob.ar/encuesta-de-origen-destino2010-movilidad-en-el-area-metropolitana-de-mendoza/
  • Pucher, J., Dill, J., & Handy, S. (2010). Infrastructure, programs, and policies to increase bicycling: An international review. Preventive Medicine, 50 January 2010, S106–S125. https://doi.org/10.1016/j.ypmed.2009.07.0280091-7435.
  • Puliafito, E., & Castesana, P. (2010). Carbon emissions from the transport sector in Argentina. Advances in Renewable Energy and Environment, 14( 0329-5184), 07.01−07.08.
  • Pulugurtha, S., Krishnakumar, V. K., & Nambisan, S. S. (2007). New methods to identify and rank high pedestrian crash zones: An illustration. Accident Analysis & Prevention, 39(4), 800–811. https://doi.org/10.1016/j.aap.2006.12.001
  • Quinn, S. (2020). Free and open source GIS in South America: Political inroads and local advocacy. International Journal of Geographical Information Science, 34(3), 464–483. https://doi.org/10.1080/13658816.2019.1665672
  • Skov-Petersen, H., Barkow, B., Lundhede, T., & Bredahl Jacobsen, J. (2018). How do cyclists make their way? - A GPS-based revealed preference study in Copenhagen. International Journal of Geographical Information Science, 32(7), 1469–1484. https://doi.org/10.1080/13658816.2018.1436713
  • Steenberghen, T., Dufays, T., Thomas, I., & Flahaut, B. (2004). Intra-urban location and clustering of road accidents using GIS: A Belgian example. International Journal of Geographical Information Science, 18(2), 169–181. https://doi.org/10.1080/13658810310001629619.
  • Teschke, K., Harris, M. A., Reynolds, C. C., Winters, M., Babul, S., Chipman, M., Cusimano, M. D., Brubacher, J. R., Hunte, G., Friedman, S. M., Monro, M., Shen, H., Vernich, L., & Cripton, P. A. (2012). Route infrastructure and the risk of injuries to bicyclists: A case-crossover study. American Journal of Public Health, 102(12), 2336–2343. https://doi.org/10.2105/AJPH.2012.300762
  • Transport for London, 2010. Analysis of cycling potential, policy analysis research report December 2010
  • US Federal Highway Administration. (1998). The Bicycle Compatibility Index : A Level of Service Concept. Implementation Manual.
  • Vasconcellos, E. A., Mendonça, A., Álvares, O. M., Raymundo, H., & Teixeira Alves, L. M., 2019. Calidad de la Movilidad en Buenos Aires. Despacio.org. http://scioteca.caf.com/handle/123456789/1371
  • Wu, L., Yang, B., & Jing, P. (2016). Travel mode detection based on GPS raw data collected by smartphones: A systematic review of the existing methodologies. Information, 7(4), 67. https://doi.org/10.3390/info7040067.
  • Zheng, Y. (2015). Trajectory data mining: An overview. ACM Transactions on Intelligent Systems and Technology (TIST), 6(3), 1–41. https://doi.org/10.1145/2743025
  • Ziari, H., & Khabiri, M. (2005). Applied Gis software for improving pedestrian & bicycle safety. Transport 20(4) , 160:164. https://doi.org/10.1080/16484142.2005.9638014
  • Zou, H., Yue, Y., Li, Q., & Yeh A, G. O. (2012). An improved distance metric for the interpolation of link-based traffic data using kriging: A case study of a large-scale urban road network. International Journal of Geographical Information Science, 26(4), 667–689. https://doi.org/10.1080/13658816.2011.609488