Balasubramani 2020 - Smart Data Management in Urban Infrastructure using GIS - Pre-Formatted.pdf (2.39 MB)
Download file

Smart Data Management of Urban Infrastructure using Geographic Information Systems

Download (2.39 MB)
journal contribution
posted on 02.12.2021, 20:30 authored by Booma Sowkarthiga BalasubramaniBooma Sowkarthiga Balasubramani, Mohamed Badhrudeen, Sybil DerribleSybil Derrible, Isabel CruzIsabel Cruz

Cities all over the world are converting maps of their infrastructure systems from legacy formats [such as paper maps and computer-aided design (CAD) drawings] to geographic information systems (GIS). Compared with CAD, GIS tend to offer more flexibility in terms of managing, updating, analyzing, and processing data. Nonetheless, the conversion process to GIS can be extremely challenging from a technical point of view. Moreover, the original data in a legacy format often contain errors, and pieces of infrastructure are often missing. What is more, even once the conversion process is complete, the maintenance of the data and the fusion of the data set with other data sets can be challenging. Leveraging recent technological advances (such as machine learning and semantic reasoning), this paper proposes a framework to better manage infrastructure data. More specifically, a smart data-management protocol is presented to successfully convert infrastructure maps from CAD to GIS that includes a data- cleaning procedure in CAD and machine-learning algorithmic solutions to validate or suggest edits of the infrastructure once converted to GIS. In addition, the protocol includes elements of version control to keep track of how urban infrastructure evolves over time as well as a procedure to combine GIS infrastructure maps with other data sets (such as socio- demographic data) that can be used for optimal scheduling of asset maintenance and repair


NSF Award CNS-1646395

CAREER: Understanding the Fundamental Principles Driving Household Energy and Resource Consumption for Smart, Sustainable, and Resilient Communities

Directorate for Engineering

Find out more...

NSF Award III-1618126

NSF Award CCF-1331800


Publisher Statement

This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at


Balasubramani, B., Badhrudeen, M., Derrible, S., & Cruz, I., (2020) Smart Data Management of Urban Infrastructure using Geographic Information Systems. ASCE Journal of Infrastructure Systems, 26(4):06020002


American Society for Civil Engineering (ASCE)





Usage metrics

Read the peer-reviewed publication