骨骼陷阱：安卡拉交通网络中空间不平等与幽灵停靠站的映射
The Skeletal Trap: Mapping Spatial Inequality and Ghost Stops in Ankara's Transit Network
AI总结：
本研究揭示安卡拉交通网络中因城市扩张导致的空间不平等与结构性瓶颈，通过加权分布模型分析公交网络错位问题。
摘要：
安卡拉的公共交通危机通常被描述为公交车短缺或运营效率低下。本研究认为问题本质上是形态学和结构性的。该市跳跃式的城市扩张产生了碎片化的外围集群，这些集群与刚性、以中心为导向的公交网络脱节。因此，需求仍然强烈集中在基兹伊-乌卢轴线和西部走廊，而外围地区则经历慢性服务不足或被迫转乘依赖。缺陷不仅仅是数量上的不足，而是源于城市宏观形态与网络架构之间的错位。实证分析基于由EGO发布的、前“透明安卡拉”计划下公布的路线级乘客和行程报告所衍生的173天运营数据集。为克服缺乏站点级地理空间数据的缺失，采用基于连接度的加权分布模型，利用网络中心性将乘客流量重新分配到1公里×1公里的网格单元中。研究发现持续存在的中心-外围不对称性、结构性瓶颈和空间嵌套的可达性不平等。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
