文档
区域科学
地理
地理信息系统
位置
比例(比率)
分布(数学)
潜在Dirichlet分配
交通规划
地理距离
关系(数据库)
运输工程
经济地理学
计算机科学
主题模型
地图学
数据挖掘
情报检索
工程类
社会学
人口
数学分析
数学
人口学
程序设计语言
大地测量学
作者
Yanshuo Sun,Sajeeb Kirtonia
标识
DOI:10.1016/j.tra.2020.05.005
摘要
Since the planning and operations of transportation systems depend on factors ranging from economic to political, which tend to vary significantly over geographic regions (geoRegions), the following research question arises: do transportation topics in various geographic regions differ significantly? A review of existing transportation bibliographic studies shows that the information on the geographic location of study areas is seldom available and thus rarely analyzed. This study thus presents a geoRegion-topic model that extends a widely used topic model, latent Dirichlet allocation, to explore the region-specific characteristics of transportation research based on large-scale bibliographic data collected from Transport Research International Documentation. Top geographic regions that are frequently used as study areas in transportation research are identified at both the country/region and U.S. state levels. The results confirm that transportation research exhibits clear region-specific characteristics, namely each geographic region is associated with a unique transportation topic distribution. After exploring the relation between topic similarity and geographic proximity, we find in general countries/regions that are geographically proximate have quite similar transportation topic distributions, while this correlation cannot be observed at the U.S. state level. Other relevant findings are also reported, along with potential bias in the analysis.
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