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Constructing partial smart street lighting system within established urban environment

Authors: Jiwon Baik*, UC santa barbara
Topics: Spatial Analysis & Modeling, Geographic Information Science and Systems, Urban and Regional Planning
Keywords: street lighting, GIS
Session Type: Paper
Presentation File: No File Uploaded


Street lighting has become an integral part of the urban landscape. It has had a profound impact on human activities and safety, including enabling night traffic and reducing crime. Moreover, the world is enfacing an evolution of the so-called Internet of Things (IoT). Smart street lighting system, which consists of street lights combined with IoT technology, is creating new usability by collecting and communicating information about parking or traffic conditions, and the event of a crime or emergency. The location of smart street lights has been discussed based on the smart city initiative. However, considering the urban environment already established, it was not enough to discuss which of the existing street lights would be most efficient when replacing them with smart streetlights to build a partial smart street lighting system. Therefore, this paper is to find the most efficient smart street light replacement points in consideration of the existing street lighting system, and also traffic accident, crime occurrence, distribution of parking spaces, and intersections. This article will show how geographic information systems and spatial statistics could be useful when making spatial decisions. The case study takes Los Angeles as a site where smart street light has not yet been introduced.

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