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Title The Smart City In Singapore: How Environmental And Geospatial Innovation Lead To Urban Livability And Environmental Sustainability
ID_Doc 56801
Authors Lim T.K.; Rajabifard A.; Khoo V.; Sabri S.; Chen Y.
Year 2020
Published Smart Cities for Technological and Social Innovation: Case Studies, Current Trends, and Future Steps
DOI http://dx.doi.org/10.1016/B978-0-12-818886-6.00003-4
Abstract With the global order today undergoing rapid transition, Singapore endeavors to harness data, information and communication technologies (ICT), and artificial intelligence (AI) to improve living, create economic opportunities, and build closer communities in its transformation toward a Smart Nation. Singapore’s urban built environment has become more complex with increased multilevel land use below and above the ground. Traditional two-dimensional (2D) maps are, therefore, increasingly inadequate to support effective management of the city. To address the issue, the Singapore Land Authority (SLA) leads a whole-of-government (WHOG) initiative to create and maintain a geometrically accurate three-dimensional (3D) national topographic map and high-quality 3D datasets that capture fundamental as-built 3D information of buildings, terrain, and roads. These datasets serve as the authoritative base map which can be shared across government agencies to satisfy the increasing needs of government and agencies in smart operation, development planning, policymaking, and risk management. This chapter introduces the technological innovations that have been adopted to make changes in multiagency collaboration, as well as making a difference in the city experience of Singapore for social innovation. As a case study, the chapter explores the drivers, actors, and innovative aspects of developing a web-based geospatial platform integrating different 2D and 3D data and models. The platform integrates an intelligent environment decision support system (IEDSS) and a quantitative urban environment simulation tool (QUEST) to facilitate citizen-based and multiagency collaboration in urban planning, design, and resource allocation. © 2021 Elsevier Inc. All rights reserved.
Author Keywords Citizen-based; Decision support system; Multiagency collaboration; Spatial data; Urban analytics


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