Ankara公交网络结构失衡导致郊区长期缺车，中心区却拥堵。
The Skeletal Trap: Mapping Spatial Inequality and Ghost Stops in Ankara's Transit Network
- 用网络中心性重构客流分布，填补无站点地理数据空白
- 173天数据揭示市中心与外围区域严重服务不均
- 适合城市规划者和交通政策研究者参考
安卡拉公共交通危机常被归因于车辆不足或运营低效。本研究认为，问题本质在于形态与结构失衡：城市跳跃式扩张造成外围片区碎片化，与僵化的中心导向公交网络脱节。需求高度集中于基齐拉伊-乌鲁斯轴线及西部走廊，而外围区域则面临持续服务不足或强制换乘。这种缺陷不仅是数量上的，更源于城市宏观形态与网络架构的错配。实证分析基于173天的运营数据，来自前‘透明安卡拉’计划下EGO发布的路线级乘客与行程报告。为克服站点级地理数据缺失，采用基于连通性的加权分布模型，将客流量重新分配至1公里×1公里网格单元。结果揭示了持续存在的中心-外围不对称、结构性瓶颈及空间嵌入的可达性不平等。
原文摘要 · Abstract (English)
Ankara's public transport crisis is commonly framed as a shortage of buses or operational inefficiency. This study argues that the problem is fundamentally morphological and structural. The city's leapfrog urban expansion has produced fragmented peripheral clusters disconnected from a rigid, center-oriented bus network. As a result, demand remains intensely concentrated along the Kizilay-Ulus axis and western corridors, while peripheral districts experience either chronic under-service or enforced transfer dependency. The deficiency is therefore not merely quantitative but rooted in the misalignment between urban macroform and network architecture. The empirical analysis draws on a 173-day operational dataset derived from route-level passenger and trip reports published by EGO under the former "Transparent Ankara" initiative. To overcome the absence of stop-level geospatial data, a Connectivity-Based Weighted Distribution Model reallocates passenger volumes to 1 km x 1 km grid cells using network centrality. The findings reveal persistent center-periphery asymmetries, structural bottlenecks, and spatially embedded accessibility inequalities.
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