BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures – A case of stormwater drainage-building-road transport Nexus in urban flooding

Yang, Yifan; Ng, S. Thomas; Dao, Jicao; Zhou, Shenghua; Xu, Frank J.; Xu, Xin; Zhou, Zhipeng

doi:10.1016/j.autcon.2021.103626

Cited by 51 publications

(22 citation statements)

References 54 publications

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“…For example, [42] developed a Python-based integrated platform for assessing the vulnerability and resilience of urban power and water networks against seismic events by combining infrastructure simulators and agent-based socio-technical models. Similarly, [43] combined geographic information system (GIS) tools, building information modeling (BIM) tools, and domainspecific infrastructure simulation models to develop an integrated model to analyze the risks of urban flooding on both infrastructure and communities.…”

Section: Integrated Infrastructure Simulation Modelsmentioning

confidence: 99%

InfraRisk: An Open-Source Simulation Platform for Asset-Level Resilience Analysis in Interconnected Infrastructure Networks

Balakrishnan,

Cassottana

2022

Preprint

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Integrated simulation models are emerging as an alternative for analyzing large-scale interdependent infrastructure networks due to their modeling advantages over traditional interdependency models. This paper presents an open-source integrated simulation package for the asset-level analysis of interdependent infrastructure systems. The simulation platform, named 'InfraRisk' and developed in Python, can simulate disaster-induced infrastructure failures and subsequent post-disaster restoration in interconnected water-, power-, and road networks. InfraRisk consists of an infrastructure module, a hazard module, a recovery module, a simulation module, and a resilience quantification module. The infrastructure module integrates existing infrastructure network packages (wntr for water networks, pandapower for power systems, and a static traffic assignment model for transportation networks) through an interface that facilitates the network-level simulation of interdependent failures. The hazard module generates infrastructure component failure sequences based on various disaster characteristics. The recovery module determines repair sequences and assigns repair crews based on predefined heuristics-based recovery strategies or model predictive control (MPC) based optimization. Based on the schedule, the simulation module implements the network-wide simulation of the consequences of the disaster impacts and the recovery actions. The resilience quantification module offers system-level and consumer-level metrics to quantify

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Section: Integrated Infrastructure Simulation Modelsmentioning

confidence: 99%

InfraRisk: An Open-Source Simulation Platform for Asset-Level Resilience Analysis in Interconnected Infrastructure Networks

Balakrishnan,

Cassottana

2022

Preprint

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“…Jack and Deng developed a framework for utility information management and analyses [15]. A vulnerability assessment of urban infrastructure using BIM and GIS was presented in [16]. Amirebrahimi et al, [17] developed a framework for the assessment of flood damage to buildings by integrating BIM with GIS.…”

Section: Bim and Gis-based Approachmentioning

confidence: 99%

“…As most of the data related to utility networks are to be digitized in an easily sharable format for conducting optimization by BIM and GIS integrated approach, the same data can be utilized for many regional-level applications. As per the literature review [16], previous research is less on BIM and GIS-based utility supply station location optimization studies. This paper is an attempt to develop and utilize a BIM-GIS integrated platform for utility optimal planning by developing a basic add-in tool referred to as BIM_UNOPT and conducting a case study for evaluating the applications and potentials of this integration.…”

Section: Bim and Gis-based Approachmentioning

confidence: 99%

BIM and GIS integrated utility supply station location optimization and possibilities

Rabia¹,

Kumar²

2022

J Appl Eng Science

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Optimal planning of utility supply station location is an integral part of infrastructural projects. In general, this is a multi-objective optimization process by considering engineering, financial and geographical constraints. A shift from conventional 2D-CAD, manual quantification and design application-based approach to Building Information Modelling (BIM)-Geographic Information System (GIS) integrated approach is found to be suitable for minimizing optimal planning time, cost and increasing automation. In this paper, an Autodesk Revit add-in tool is proposed aimed at integrating BIM and GIS for Genetic Algorithm (GA) based utility supply station location optimization and to assess the possibilities of this integration. From the case study it is observed that up to 90% of cost saving can be accomplished by this proposed approach. It is found that compared to the traditional multi-software approach with manual data transfer, this integration can be utilized for multi-stage optimization and is suitable for automating heterogenous data integration with increased accuracy. The platform in which the add-in tool is developed for the utility network can be at either BIM or GIS and this selection is influenced by the availability and ease of data retrieval from the respective semantic information system and the level of automation that is to be accomplished. Standardised BIM-based modelling combined with concepts like artificial intelligence and image processing techniques can be promising for attaining desired results in industrial applications.

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“…Global urbanization and the increasing frequency and intensity of extreme weather events as a result of climate change are serious problems for urban floods [1][2][3][4]. Moreover, they have caused massive casualties and economic losses [5,6]. For example, a severe rainstorm occurred in Henan Province, China on 20 July 2020, with the maximum hourly rainfall of 201.9 mm and the maximum 24 h rainfall of 645.6 mm, which caused more than 300 people to lose their lives.…”

Section: Introductionmentioning

confidence: 99%

Research Progress of Urban Floods under Climate Change and Urbanization: A Scientometric Analysis

et al. 2021

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Urban floods research has been attracting extensive attention with the increasing threat of flood risk and environmental hazards due to global climate change and urbanization. However, there is rarely a comprehensive review of this field and it remains unclear how the research topics on urban floods have evolved. In this study, we analyzed the development of urban floods research and explored the hotspots and frontiers of this field by scientific knowledge mapping. In total, 3314 published articles from 2006 to 2021 were analyzed. The results suggest that the number of published articles in the field of urban floods generally has an upward trend year by year, and the research focus has shifted from exploring hydrological processes to adopting advanced management measures to solve urban flood problems. Moreover, urban stormwater management and low impact development in the context of climate change and urbanization have gradually become research hotspots. Future research directions based on the status and trends of the urban floods field were also discussed. This research can not only inspire other researchers and policymakers, but also demonstrates the effectiveness of scientific knowledge mapping analysis by the use of the software CiteSpace and VOSviewer.

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BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures – A case of stormwater drainage-building-road transport Nexus in urban flooding

Cited by 51 publications

References 54 publications

InfraRisk: An Open-Source Simulation Platform for Asset-Level Resilience Analysis in Interconnected Infrastructure Networks

InfraRisk: An Open-Source Simulation Platform for Asset-Level Resilience Analysis in Interconnected Infrastructure Networks

BIM and GIS integrated utility supply station location optimization and possibilities

Research Progress of Urban Floods under Climate Change and Urbanization: A Scientometric Analysis

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