The relevance of cycling as a mode of transportation is increasingly being recognized in many cities around the world, and the city of Medellin (Colombia) is no exception. To better understand cycling travel behavior in Medellin, we perform a multiple regression to analyze the importance of route characteristics in explaining cycling travel distance. We control for socioeconomic and built environment variables at the origin and destination. Our results reveal that the effects of the socio-economic and built environment characteristics at the origin and destination are modest or statistically insignificant in explaining travel distance. However, the variables that characterize the built and natural environment along the route are significant and appreciably improve the explanatory power of the baseline econometric model. An analysis of interacting effects shows that the interaction between the dedicated infrastructure along the route and the degree of deviation from direct routes has a relevant effect on explaining travel distance. The findings of this work are useful for designing cycling policy and developing more usable cycling infrastructure.

骑自行车作为一种交通方式的重要性在世界上许多城市中日益得到认可，麦德林市（哥伦比亚）也不例外。为了更好地了解麦德林的自行车旅行行为，我们进行了多元回归分析，以分析路线特征在解释自行车旅行距离中的重要性。我们控制起点和终点的社会经济和建筑环境变量。我们的结果表明，在解释出行距离时，始发地和目的地的社会经济和建筑环境特征的影响很小或在统计上不重要。但是，表征沿线建筑环境和自然环境的变量非常重要，并且可以显着提高基线计量经济模型的解释能力。对相互作用影响的分析表明，沿路线的专用基础设施之间的相互作用以及与直接路线的偏离程度对解释行驶距离具有重要影响。这项工作的发现对于设计自行车政策和开发更多可用的自行车基础设施很有用。