Digital twin enabled sustainable urban road planning

Feng, Jinteng; Ma, Ling; Broyd, Tim; Chen, Weiya; Luo, Hanbin

doi:10.1016/j.scs.2021.103645

Cited by 68 publications

(19 citation statements)

References 38 publications

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“…, 2021; White et al. , 2021), urban road planning (Jiang et al. , 2022), urban disaster management (Fan et al.…”

Section: Results and Analysismentioning

confidence: 99%

“…This review found that CIM has been a prevalent tool implemented for developing digital twins in urban contexts for purposes such as collaborative urban design (Pang et al, 2021;White et al, 2021), urban road planning (Jiang et al, 2022), urban disaster management (Fan et al, 2020(Fan et al, , 2021Ham and Kim, 2020;Ford and Wolf, 2020), urban energy management (Francisco et al, 2020), evaluation of CO 2 emissions in cities (Park and Yang, 2020) and monitoring of citizens' comfort (Zaballos et al, 2020). For instance, Lu et al (2020a) developed a digital twin of the West Cambridge site of the University of Cambridge in the UK.…”

Section: City Informationmentioning

confidence: 99%

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The uptake of City Information Modelling (CIM): a comprehensive review of current implementations, challenges and future outlook

Omrany

GhaffarianHoseini

Ghaffarianhoseini

et al. 2022

SASBE

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PurposeThis paper critically analysed 195 articles with the objectives of providing a clear understanding of the current City Information Modelling (CIM) implementations, identifying the main challenges hampering the uptake of CIM and providing recommendations for the future development of CIM.Design/methodology/approachThis paper adopts the PRISMA method in order to perform the systematic literature review.FindingsThe results identified nine domains of CIM implementation including (1) natural disaster management, (2) urban building energy modelling, (3) urban facility management, (4) urban infrastructure management, (5) land administration systems, (6) improvement of urban microclimates, (7) development of digital twin and smart cities, (8) improvement of social engagement and (9) urban landscaping design. 10; Further, eight challenges were identified that hinder the widespread employment of CIM including (1) reluctance towards CIM application, (2) data quality, (3) computing resources and storage inefficiency, (4) data integration between BIM and GIS and interoperability, (5) establishing a standardised workflow for CIM implementation, (6) synergy between all parties involved, (7) cybersecurity and intellectual property and (8) data management.Originality/valueThis is the first paper of its kind that provides a holistic understanding of the current implementation of CIM. The outcomes will benefit multiple target groups. First, urban planners and designers will be supplied with a status-quo understanding of CIM implementations. Second, this research introduces possibilities of CIM deployment for the governance of cities; hence the outcomes can be useful for policymakers. Lastly, the scientific community can use the findings of this study as a reference point to gain a comprehensive understanding of the field and contribute to the future development of CIM.

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“…, 2021; White et al. , 2021), urban road planning (Jiang et al. , 2022), urban disaster management (Fan et al.…”

Section: Results and Analysismentioning

confidence: 99%

Section: City Informationmentioning

confidence: 99%

The uptake of City Information Modelling (CIM): a comprehensive review of current implementations, challenges and future outlook

Omrany

GhaffarianHoseini

Ghaffarianhoseini

et al. 2022

SASBE

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“…The original expenditure is not included in these costs. The majority of time spent traveling is reported as commute time and the amount of time needed to get to the next transportation center [40]. Accessibility may also be explained in terms of aging or people with disabilities.…”

Section: Categorizing Criteriamentioning

confidence: 99%

Investigating Sustainability Indicators for Urban Road Network — A Methodical Review Literature

Nemaa,

Al-Jameel,

Mohammed

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Transportation that is both socially and environmentally responsible is an important factor in climate change. However, urban sustainable mobility schemes have no universally accepted success criteria. Sustainability evaluation lacks a common language. This document groups sustainable mobility strategies to establish critical transport performance measures. Sustainable transportation trumps targets, criteria, and indicators. The following are the top priorities for urban multimodal sustainable transportation, in descending order: There are 13 social, 11 economic, and 9 environmental criteria. Each of the three basic criteria used most often in the study specifically addresses the environment. Since the literature’s attribution of criteria to sustainability elements is complex, it’s recommended to analyze their interrelationships. As previously demonstrated, small and medium-sized cities have a high sustainability value of in terms of population and urban area, but large cities can improve their sustainability by controlling urban sprawl and managing urban transportation demand with adequate public transportation. It is proposed that in the future, the interrelationships between the criteria be evaluated, as their allocation to the aspects of sustainability is ambiguous in the available literature. This article can assist mobility executives in making decisions about urban transportation concepts and project management. Making transportation more environmentally friendly is crucial to reducing climate change’s negative impacts.

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“…Secondly, some studies focus on planning and design, and in these studies, a DT can be built for the existing road and surroundings to assist in urban or rural planning. Jiang, et al [29] proposed a DT-MCDM-GIS (Digital Twin-Multi-Criteria Decision Making-Geographic Information System) framework to assist in sustainable urban road alignment selection for both new road construction and existing road widening considering various factors. Several DT-based methods were proposed for various factors such as building demolition, land use, and traffic congestion.…”

Section: Digital Twin For Road Engineeringmentioning

confidence: 99%