通过实时交通数据实现动态距离-时间转换因子,以提高韩国的城市流动性和服务可访问性
Solhee Kim1, Taegon Kim1,2, Jeongbae Jeon3
1Department of Smart Farm, College of Agriculture & Life Sciences, Jeonbuk National University, Jeonju, Jeonbuk State, South Korea.
PloS one
|September 4, 2025
概括
这项研究引入了一个新的距离-时间转换系数 (DCF),用于更智能的区域规划,以改善公共服务的获取. 通过使用区域数据,更好地估计出行时间,尤其是在城市人口密集地区.
科学领域:
- 城市规划
- 地理信息系统 (GIS)
- 运输工程
背景情况:
- 传统的公共服务规划通常采用统一的位置策略.
- 现有的方法难以解释旅行时间和可访问性的区域差异.
- 密集的城市地区对公平的公共服务分配提出了独特的挑战.
研究的目的:
- 开发一个改进的智能区域规划方法,重点是公共服务的可访问性.
- 引入城市级距离-时间转换系数 (DCF) 以更准确地估计行程时间.
- 增强现有的智能公共服务规划框架,并提供特定区域的见解.
主要方法:
- 开发城市级距离时间转换系数 (DCF).
- 整合公路网络距离,欧几里德距离和最低行程时间 (考虑到速度限制和交通).
- 使用电路因子 (CF) 和延迟因子 (DF) 构建DCF.
主要成果:
- 确定DCF值较高的地区,特别是在主要的大都市地区.
- 对于人口密集地区,DCF指标是关键指标.
- 与传统的统一位置规划方法相比,有明显的改进.
结论:
- 提供更直观的旅行时间和距离估计,用于公共服务规划.
- 通过DCF集成实时流量数据对于高需求地区至关重要.
- 倡导为高效公共服务提供量身定制的区域性基础设施建设.
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