Abstract Planning for more sustainable mobility is an important goal for public authorities worldwide. Setting better conditions for pedestrians and cyclists has been related to many social benefits, such as less pollution and congestion. Local authorities, aware of the relationship between transport and land-use, are adopting planning tools to analyze growth in cities and their impacts using multiple indicators. This paper develops an econometric trip length model that correlates socioeconomic characteristics and built environment conditions with walking travel distances in the city of Bogota, Colombia. A log-linear regression model was estimated using information for 2015 of Bogota's household travel survey, along with data of employment and population by block obtained from official sources. The built environment component of the model serves to evaluate the effect of land-use patterns. A proof of concept was developed using land-use information extracted from a Cellular Automata Land-Use model calibrated for the city. From its results, some factors of the built environment were estimated and two scenarios were tested in this study. One depicts the average walking distance for households surveyed in 2015, and the other takes a simulation of land-use policy in developing a new urban area as an input. The results indicate that people living in areas were the land-use mix and job/population ratio are low, tend to have longer walking distances, suggesting the need to implement special policies that reallocate some activities and encourage higher land-use mix in the urban periphery where low-income households tend to be located. The proposed method can identify the impact of land-use policies in the distances traveled by walking, facilitating the impact assessment of land-use regulations.

中文翻译：

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评估建筑环境和社会人口特征对波哥大步行旅行距离的影响

摘要 规划更可持续的流动性是全球公共当局的一个重要目标。为行人和骑自行车的人创造更好的条件与许多社会效益有关，例如减少污染和拥堵。地方当局意识到交通和土地利用之间的关系，正在采用规划工具，使用多个指标分析城市的增长及其影响。本文开发了一种计量经济旅行长度模型，该模型将社会经济特征和建筑环境条件与哥伦比亚波哥大市的步行旅行距离相关联。使用 2015 年波哥大家庭旅行调查的信息以及从官方来源获得的分块就业和人口数据估计了对数线性回归模型。该模型的建筑环境部分用于评估土地利用模式的影响。使用从为城市校准的元胞自动机土地利用模型中提取的土地利用信息开发了概念证明。根据其结果，对建筑环境的一些因素进行了估计，并在本研究中测试了两种情景。一个描述了 2015 年被调查家庭的平均步行距离，另一个以模拟新城区开发的土地使用政策作为输入。结果表明，居住在土地混合和就业/人口比率低的地区的人们步行距离往往更长，这表明需要实施特殊政策，重新分配一些活动并鼓励城市土地使用更高的混合低收入家庭往往位于的外围。