France-Mensah Jojo, Kothari Chirag, O'Brien William J, Khwaja Nabeel
Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 301 E. Dean Keeton Street, ECJ 5.412, Austin, TX, 78712, USA.
Center for Transportation Research, The University of Texas at Austin, 1616 Guadalupe, Suite 4.202, Austin, TX, 78701, USA.
Data Brief. 2019 Aug 5;25:104367. doi: 10.1016/j.dib.2019.104367. eCollection 2019 Aug.
State Highway Agencies (SHAs) have different functional groups that work towards improving the functional and physical performance of highway assets. These functional groups often propose multiple inter-related highway projects on the same network. However, the respective information systems of such functional groups lack interoperability capabilities between them. This data article is related to an earlier study by France-Mensah et al. (France-Mensah et al., 2017) that explored the integrated visualization of highway projects proposed by different functional groups working in the same highway agency. This dataset provides a spatially integrated set of maintenance and capital planning projects which is rarely available due to organizational silos which often exist in highway agencies. The data includes approximately 700 highway projects with over 16 attributes that includes spatial, temporal, cost, and description attributes. The highway projects are located in the Fort Worth District of the Texas Department of Transportation (TxDOT) which is responsible for a large network (approximately 9000 lane miles) of highway assets. The agency currently oversees around $4 billion in construction projects and spends around $120 million annually for asset preservation. An analysis of the fund allocations categorized by different project types for pavement and bridge assets is presented. The data presented can be used to compare competing approaches or policies for cross-asset allocation, spatial-temporal projects coordination, and safety planning in the infrastructure management domain.
州公路部门(SHAs)有不同的职能部门,致力于改善公路资产的功能和实际性能。这些职能部门经常在同一网络上提出多个相互关联的公路项目。然而,这些职能部门各自的信息系统之间缺乏互操作性。这篇数据文章与France-Mensah等人(France-Mensah等人,2017年)早期的一项研究相关,该研究探讨了在同一公路部门工作的不同职能部门提出的公路项目的综合可视化。该数据集提供了一套空间上整合的维护和资本规划项目,由于公路部门中经常存在的组织孤岛,这样的数据集很少能获取到。数据包括大约700个公路项目,有超过16个属性,包括空间、时间、成本和描述属性。这些公路项目位于德克萨斯州交通运输部(TxDOT)的沃思堡地区,该地区负责一个大型公路资产网络(约9000车道英里)。该部门目前监督约40亿美元的建设项目,每年在资产维护方面支出约1.2亿美元。文中给出了按不同项目类型对路面和桥梁资产的资金分配分析。所呈现的数据可用于比较基础设施管理领域中跨资产分配、时空项目协调和安全规划的竞争方法或政策。