Evidence of Green Areas, Cycle Infrastructure and Attractive Destinations Working Together in Development on Urban Cycling Campos Sánchez, Francisco Sergio Valenzuela Montes, Luis Miguel Abarca Álvarez, Francisco Javier Cycling Urban planning Decision-making Green areas for people Sustainability Logistic regression The built environment influences and promotes cycling that has now become a challenge for sustainable urban mobility in many cities where this mode of transport carries little weight. This is the case for Granada (Spain), a medium-sized city in southern Europe, which as a university city and with lots of green areas, could find potential supportive factors to promote cycling. Website-apps with a Global Positioning System (GPS), such as Ciclogreen that encourage active accessibility try to promote cycling and are supported by the University of Granada. The aim of this work is to assess the capacity of green areas and some influential factors of their built environment to attract cycling routes. To this end, a spatial analysis was made and interpreted by a statistical model to check the correlation between these factors and a high number of cycling routes through or near the green areas. The results show a high number of cycling routes within urban surroundings that include green areas, cycle lanes, university facilities, and public car parks in proximity relationships. Identifying synergies among these urban factors and the information and incentive coming from a digital catalyst in shape on an app could be useful in urban planning for cycling. 2019-10-31T11:43:38Z 2019-10-31T11:43:38Z 2019-08-30 info:eu-repo/semantics/article Campos-Sánchez, F. S., Valenzuela-Montes, L. M., & Abarca-Álvarez, F. J. (2019). Evidence of Green Areas, Cycle Infrastructure and Attractive Destinations Working Together in Development on Urban Cycling. Sustainability, 11(17), 4730. http://hdl.handle.net/10481/57642 10.3390/su11174730 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI