一个关于个人对运输政策的看法的开放数据集
Minh Kieu1, Alexis Comber2, Hang Nguyen Thi Thuy3
1Department of Civil and Environmental Engineering, University of Auckland, Auckland, 1010, New Zealand. minh.kieu@auckland.ac.nz.
Scientific data
|January 22, 2024
概括
河内 河内 河内
科学领域:
- 城市规划是城市规划.
- 运输研究 运输研究
- 环境科学环境科学
背景情况:
- 河内等城市的机动交通增长导致拥堵,污染和安全问题.
- 汽油动力摩托车是河内这些问题的重要贡献者.
- 可持续的城市福祉受到当前交通趋势的挑战.
研究的目的:
- 引入来自河内可持续福祉城市交通建模项目 (UTM-Hanoi) 的新调查数据集.
- 分析与交通有关的家庭人口统计,观念,意见和声明行为.
- 探索先进的分析方法,包括空间统计,合成人口生成和机器学习.
主要方法:
- 对河内近3万户家庭进行了大规模调查.
- 使用多尺度空间统计数据分析.
- 应用机器学习用于预测公众对运输政策的看法.
主要成果:
- 该调查提供了丰富的关于家庭特征和与交通有关的态度的数据.
- 分析揭示了公众对潜在政府交通干预措施的看法.
- 技术验证证实了数据集的实用性和可比性.
结论:
- 城市交通运输数据集是了解和建模城市交通挑战的宝贵资源.
- 调查结果可以为河内发展可持续交通政策提供信息.
- 该研究展示了创新的数据分析技术在城市规划中的应用.
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