Datasets_TMC

The data is collected from a cross-sectional survey of 415 respondents living in Klang Valley, Malaysia. A simple random sampling technique was employed. Logistic regression models were implemented to identify individual sociodemographic characteristics that influence urban travel mode choice. Three types of travel mode choices were being assessed, namely active transport, public transport, and private transport. Male, low education level, student, subscribed to public transport service, household without children and do not own private motorised vehicle were more likely to active travel. Influencing factors such as age, ethnicity, public transport subscription and presence of children in a household have a significant impact on public transport mode choice. Female, high education and socioeconomic level, household with the presence of children and own private motorised vehicle were more likely to incorporate private transport in daily trips. The findings could facilitate policymakers and local authorities to accommodate the transportation needs of different segments in society.本数据集的数据源自针对马来西亚巴生谷（Klang Valley）地区415名受访者开展的横断面调查，研究采用简单随机抽样方法选取样本。通过构建逻辑回归模型，本研究识别出影响城市居民出行方式选择的个体社会人口学特征。本次评估共涵盖三类出行方式选择，即主动出行交通、公共交通与私人交通。研究发现，男性、低学历群体、学生、已订阅公共交通服务者、无子女家庭以及未拥有私人机动车的群体，更倾向于选择主动出行交通方式。年龄、种族、公共交通订阅情况以及家庭子女状况等因素，对公共交通出行方式选择具有显著影响。女性、高学历与高社会经济地位群体、有子女家庭以及拥有私人机动车的群体，更倾向于在日常出行中使用私人交通方式。本研究结果可为政策制定者与地方交通管理部门优化交通资源配置、满足社会不同群体的出行需求提供决策参考。