A semantic web approach to land use regulations in urban planning: The OntoZoning ontology of zones, land uses and programmes for Singapore

Silvennoinen, Heidi; Chadzynski, Arkadiusz; Farazi, Feroz; Grisiute, Ayda; Shi, Zhongming; Richthofen, Aurel von; Cairns, Stephen; Kraft, Markus; Raubal, Martin; Herthogs, Pieter

doi:10.1016/j.jum.2023.02.002

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…To support representational MP, it can load and link 3D city data through a OntoCi-tyGML ontology (Chadzynski et al, 2021), automatically load, update, and evaluate city data (Chadzynski et al, 2022b), as well as create visualizations and interfaces dynamically (Chadzynski et al, 2022a). An ontology of Singapore's land use planning regulations was added to the database (Silvennoinen et al, 2022), enabling the search for plots with particular land use or program combinations, while filtering results by other domain criteria (e.g., distance to parks). This ontology was extended with a classification of mixed-use archetypes occurring in Singapore, using Google Maps data (Shi et al, 2022).…”

Section: Cities Knowledge Graphmentioning

confidence: 99%

The conundrum in smart city governance: Interoperability and compatibility in an ever-growing ecosystem of digital twins

Quek

Sielker²,

Akroyd³

et al. 2023

Data & Policy

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Today, technological developments are ever-growing yet fragmented. Alongside inconsistent digital approaches and attitudes across city administrations, such developments have made it difficult to reap the benefits of city digital twins. Bringing together experiences from five research projects, this paper discusses these digital twins based on two digital integration methodologies—systems and semantic integration. We revisit the nature of the underlying technologies, and their implications for interoperability and compatibility in the context of planning processes and smart urbanism. Semantic approaches present a new opportunity for bidirectional data flows that can inform both governance processes and technological systems to co-create, cross-pollinate, and support optimal outcomes. Building on this opportunity, we suggest that considering the technological dimension as a new addition to the trifecta of economic, environmental, and social sustainability goals that guide planning processes, can aid governments to address this conundrum of fragmentation, interoperability, and compatibility.

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