The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 291–296, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-291-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 291–296, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-291-2018

  19 Sep 2018

19 Sep 2018

A GEOSPATIAL ANALYSIS FRAMEWORK FOR FINE SCALE URBAN INFRASTRUCTURE NETWORKS

Q. Ji, S. Barr, P. James, and D. Fairbairn Q. Ji et al.
  • School of Engineering, Newcastle University, Newcastle upon Tyne, UK

Keywords: Infrastructure Network, Fine Spatial Scale, Spatial Heuristics, Database System

Abstract. Understanding the spatial connectivity of urban infrastructure networks that connect assets to buildings is important for the fine-scale spatial analysis and modelling of the resource flows within cities. However, rarely are spatially explicit representations of infrastructure networks available for such analysis. Further, an appropriate database system is the core of development of an infrastructure assets information and management platform, capable of handling the wide range of data for infrastructure system modelling and analysis. In this paper, we develop a geospatial simulation and analysis framework, which is capable of generating fine-scale urban infrastructure networks and storing the network instances in a hybrid database system for further modelling and analysis needs. We demonstrate the use of this platform by simulating the entire-city electricity distribution network for the city of Newcastle upon Tyne. Validation of the resulting network is performed using the network layout diagram from the local power company. The heuristically derived network was found to have a 91 % spatial accuracy.