道路和停车场拥挤程度对城市轨道交通分担率影响分析
潘轲1,2王思韬3叶霞飞2
Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share
PAN Ke1,2WANG Sitao3YE Xiafei2
-
作者信息:1.北京市市政工程设计研究总院有限公司，100082，北京
2.同济大学道路与交通工程教育部重点实验室，201804，上海
3.上海申通地铁集团有限公司技术中心，201103，上海
-
Affiliation:1.Beijing General Municipal Engineering Design & Research Institute Co., Ltd., 100082, Beijing, China
2.Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 201804, Shanghai, China
3.Technology Center of Shanghai Shentong Metro Group Co., Ltd., 201103, Shanghai, China
-
关键词:
-
Key words:
-
DOI:10.16037/j.1007-869x.2024.12.020
-
中图分类号/CLCN:U239.5
-
栏目/Col:学术专论
摘要:
［目的］为确定停车场拥挤程度、道路拥挤程度的最佳度量指标，需研究两者对轨道交通分担率的影响特征。［方法］提出考虑停车场个数、停车场泊位数、城市轨道交通车站步行影响范围、出行距离折减等因素的8种停车场拥挤程度的可能度量指标，以及考虑路段长度、路段拥挤度等因素的2种道路拥挤程度的可能度量指标。结合日本近畿圈交通小区间的客流数据、道路交通和停车场数据，实证分析各度量指标对城市轨道交通分担率变化的影响，利用相关性分析确定最佳度量指标。［结果及结论］增加目的地停车场拥挤程度和道路拥挤程度会提高交通小区间的全日城市轨道交通分担率。当O(起点)端交通小区位于市区和郊区时，目的地停车场拥挤程度的最佳度量指标宜采用经距离折减的交通小区内高饱和停车场泊位数占比；当O端交通小区位于核心区时，目的地停车场拥挤程度的最佳度量指标宜采用经距离折减的交通小区内高饱和停车场个数占比。道路拥挤程度的最佳度量指标宜采用经拥挤度加权的交通小区间途经交通小区的拥挤道路总延长。
Abstracts:
［Objective］ To determine the optimal metrics indicators for measuring parking lot congestion and road congestion levels, it is essential to study their impact on the modal share of urban rail transit. ［Method］ Eight potential metrics indicators for measuring parking lot congestion are proposed, considering factors such as the number of parking lots, the number of parking spaces, the walking influence range of urban rail transit stations, and travel distance reductions. Additionally, two possible metrics for road congestion are introduced, taking into account road section length and congestion level. Using the inter district transportation data in Kinki metropolitan region of Japan, covering passenger flow, road traffic and parking lots, an empirical analysis is conducted to evaluate the influence of each metric indicator on the variation in urban rail transit modal share. Correlation analysis is then used to determine the optimal metrics. ［Result & Conclusion］ Increasing the destination parking lot and road congestion levels leads to a higher all-day urban rail transit modal share between traffic zones. When the O (origin) traffic zone is located in urban or suburban areas, the optimal metric for destination parking lot congestion is advisable to adopt the proportion of highly saturated parking spaces within a traffic zone, adjusted according to distance. When the O-zone is in the central district, the optimal metric indicator for congestion in destination parking lots should adopt the proportion of highly saturated parking lots within the traffic zone, adjusted according to distance reductions. The best metric indicator for road congestion should adopt the total length of congested roads between traffic zones weighted by congestion levels.
- 上一篇: 高铁物流运输模式及其可行性
- 下一篇: 低空经济与城市轨道交通融合新趋势
过刊浏览
资料下载
友情链接