尼日利亚卡拉巴尔居民将自行车作为城市内交通工具的意愿

IF 0.1 Q4 ENGINEERING, CIVIL Romanian Journal of Transport Infrastructure Pub Date : 2020-12-01 DOI:10.2478/rjti-2020-0012
I. Okon, I. C. Ekwok
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引用次数: 0

摘要

摘要本研究调查了尼日利亚南南卡拉巴尔市居民使用自行车进行城市内交通的意愿。调查问卷成功地从研究地区22个行政区的所有收入和就业群体的居民中回收(82%)。采用分层抽样方法选择调查对象。仅截距模型中被调查者的初始社会经济特征用于预测被调查者在城市中骑行的意愿。研究人员进一步向参与者展示了12个关于自行车交通的问题,他们用6分制(1-6)对这些问题进行打分,分别是非常不愿意骑自行车到非常愿意骑自行车。采用Logistic回归分析预测被调查者愿意骑车的概率。预测变量包括被调查者的性别、年龄、教育程度、职业状况、12个自行车基础设施特征和编码每个社会经济情景的虚拟变量。全模型与仅截距模型的检验差异有统计学意义,χ2 (24, N = 315) = 50.5, p < .001; χ2 (19, N = 315) = 36.5, p < .001。该模型能够正确分类86%愿意骑车的人和29.1%不愿意骑车的人,总体成功率为66.2%。该研究显示,居民在城市中骑行的意愿没有性别敏感性。在模型2中,自行车道(1.181)、与驾车者的冲突(1.338)、不尊重骑自行车(1.078)、文化/污名(1.046)、天气(1.013)、坑洼(1.222)、安全问题(1.280)、照明(1.241)等自行车基础设施特征的奇比在预测受访者骑自行车的概率方面更为显著。该研究建议指定自行车道/步道,以激励居民在城市骑自行车。
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Residents’ Willingness to Adopt Cycling as Intra-City Transport in Calabar, Nigeria
Abstract This study investigated the willingness of residents to use bicycles for intra-city transportation in Calabar, South-South Nigeria. Administered questionnaires were successfully retrieved (82%) from residents of all income and employment groups in the 22 political wards of the study area. Stratified sampling technique was used to select survey participants. Initial socioeconomic characteristics of respondents in intercept only model was used to predict the willingness of respondents to ride in the city. Twelve problems of bicycle transportation were further presented to participants who rated them using a six-point scale (1-6), highly unwilling to highly willing to ride, respectively. Logistic Regression Analysis was employed to predict the probability that a respondent would be willing to ride. The predictor variables were respondents’ gender, age, education, occupational status, 12 bicycle infrastructure characteristics and dummy variables coding each socioeconomic scenario. A test of the full model versus a model with intercept only was statistically significant, χ2 (24, N = 315) = 50.5, p < .001 and χ2 (19, N = 315) = 36.5, p < .001. The model was able to correctly classify 86% of those willing to ride and 29.1% of those unwilling to ride, for an overall success rate of 66.2%. The study revealed that there is no gender sensitivity in the willingness of residents to ride in the city. In model 2, the odd ratio of some bicycle infrastructure characteristics such as bicycle lanes (1.181), conflicts with motorist (1.338), lack of respect for cycling (1.078), culture/stigma (1.046), weather (1.013), potholes (1.222), safety issues (1.280), and illumination (1.241) are more significant in predicting the probability of respondents to ride bicycles. The study recommended designated bicycle paths/trails to motivate residents to ride bicycles in the city.
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