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Prioritizing bicycle paths in Belo Horizonte City, Brazil: Analysis based on user preferences and willingness considering individual heterogeneity

机译:巴西贝洛哈里桑塔市优先考虑自行车道:基于用户偏好和意愿的分析,并考虑个人异质性

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摘要

Using bicycles as a commuting mode has proven to be beneficial to both urban traffic conditions and travelers' health. In order to efficiently design facilities and policies that will stimulate bicycle use, it is necessary to first understand people's attitudes towards bicycle use, and the factors that may influence their preferences. Such an understanding will enable reliable predictions of bicycle use willingness level, based on which cycling facility construction can be reasonably prioritized. As people often have different perceptions on exercising, green transportation, and traffic conditions, effects of potentially influencing factors on people's willingness of using bicycles tend to be highly heterogeneous. This paper uses a random parameter ordered probit model to analyze how travelers' willingness of using bicycles is influenced by various socio-economic factors in Belo Horizonte City, Brazil, with the consideration of individual heterogeneity. The data was collected through the 2010 bicycle use survey in Belo Horizonte City. Results show that, first, the willingness of using bicycle is favored by middle income class household, and negatively related with commuting time. Second, people who rent apartments tend to be more willing to use bicycles. Third, if a person is currently walking a long time to work, he/she would be most willing to commute with a bicycle in the future. Those currently commuting a relatively short distance by motorcycle and bus follow this group in terms of willingness to commute by bicycle in the future. Car users seem to be difficult to convert to bicycle users. Moreover, the estimation shows clear evidence that significant individual heterogeneity indeed exists, especially for education level, necessitating the consideration of such an effect. With the calibrated model, residents' willingness of using bicycle commuting is then estimated for the entire Belo Horizonte City using the 2010 Census and the 2012 O/D survey data. The results are cross validated using the bicycle path preference information, also obtained from the 2010 bicycle use survey.
机译:事实证明,将自行车作为通勤方式对城市交通状况和旅行者的健康都是有益的。为了有效设计刺激自行车使用的设施和政策,有必要首先了解人们对自行车使用的态度以及可能影响他们偏好的因素。这样的理解将能够可靠地预测自行车的使用意愿水平,从而可以合理地确定自行车设施的建设优先顺序。由于人们通常对运动,绿色交通和交通状况有不同的看法,因此,潜在影响因素对人们使用自行车的意愿的影响趋向于高度异类。本文使用随机参数有序概率模型来分析旅行者的自行车意愿如何受到巴西贝洛哈里桑塔市各种社会经济因素的影响,并考虑到个体异质性。该数据是通过2010年贝洛奥里藏特市自行车使用情况调查收集的。结果表明,首先,中产阶级家庭对自行车的使用意愿较高,与通勤时间负相关。第二,租房的人往往更愿意使用自行车。第三,如果一个人目前正在长时间步行,他/她将来将最愿意骑自行车上下班。在将来愿意骑自行车上下班的人群中,目前乘坐摩托车和公共汽车上下班的距离相对较短的人群。汽车使用者似乎很难转换为自行车使用者。此外,估算结果清楚地表明,确实存在着巨大的个人异质性,尤其是在教育水平上,因此有必要考虑这种影响。使用校准后的模型,然后使用2010年人口普查和2012年O / D调查数据估算整个贝洛奥里藏特市居民的自行车通勤意愿。使用从2010年自行车使用情况调查中获得的自行车道偏好信息对结果进行交叉验证。

著录项

  • 来源
    《Transportation research》 |2014年第9期|268-278|共11页
  • 作者单位

    Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, USA;

    Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, USA,Departamento de Engenharia de Transportes e Geotecnia, Universidade Federal de Minos Gerais, Brazil,Bolsista da CAPES - Proc. no 3795/11-0, Brazil;

    Department of Civil and Environmental Engineering, 4032 JEC Building, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180-3590, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bicycle use; Random parameters; Ordered probit model;

    机译:自行车使用;随机参数;有序概率模型;

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