Abstract
Abstract. Cities around the world face an increasing need for land as density in urban areas increases rapidly. The pressure to expand a city’s space is especially acute for a city-state like Singapore. How to make better use of underground space? This issue becomes much more emergent in the urban development. In the big data era, a data-driven approach of underground spaces is necessary for the sustainable development of a city along with rapid urbanization. A reliable three dimensional (3D) digital map of utility networks is crucial for urban planners to understand one of the most impactful aspects of the underground space planning. The mapping underground utility networks is a challenging task, especially for cities with limited land resources, congested underground spaces, and a lack of uniform existing practices. This paper proposes a framework to organise the workflow from an underground utility data survey to data use. This framework includes two core parts: A 3D utility network data model that aims to convert utility survey data to 3D geospatial information, and a 3D utility cadastral data model that supports utility ownership management. It is expected that reliable and accurate information on underground utility networks can lead to a better understanding and management of underground space, which eventually contributes to better city planning, making the unseen structures visible.
Highlights
1.1 MotivationIn a land-scarce city such as Singapore, urban planners are facing challenges to optimize urban land usage
Some of the places around the world have interests to develop the 3D mapping of underground utility network and utility cadastral management
3.1 A Framework for 3D Utility Network Mapping to resolve issues about communication between different organisations, data integration, and data sharing during 3D mapping of underground utility networsk. This framework organises information in three parts: a utility survey, utility network data management, and utility cadastral management. This framework consists of four roles and two types of utility data models related to 3D underground utility network mapping
Summary
In a land-scarce city such as Singapore, urban planners are facing challenges to optimize urban land usage. To achieve this potential and support well-informed planning decisions, a good understanding of what exists underground - especially that which is concealed - is necessary This has fostered the need for holistic, data-driven planning of underground spaces for the sustainable development of a city along with rapid urbanization (Jaw et al, 2018). In the beginning of 2018, Singapore-ETH Centre together with SLA and the Geomatics Department of the City of Zurich have embarked on the Digital Underground project to improve the understanding of the underground space through research, focusing on the development of a roadmap, a data model and best practices for a reliable 3D map of underground utilities. The last section presents conclusions and directions for future work
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