Building information modeling (BIM), System dynamics (SD), and Agent-based modeling (ABM): Towards an integrated approach

Uddin, Mohammad Nyme; Wang, Q.; Wei, Hsi Hsien; Chi, Hung-Lin; Ni, Meng

doi:10.1016/j.asej.2021.04.015

Cited by 41 publications

(15 citation statements)

References 45 publications

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“…For example, Han et al (2020) explored the influence of normative, affective, and habitual factors on guests' water conservation and towel reuse intentions, and another study revealed the impact of environmental awareness on young vacationers' recycling and conservation intentions [19]. These studies have significant contributions to both promoting sustainable behaviour (e.g., [20]) and building and urban energy performance modelling (e.g., [21,22]). However, the psychological mechanisms behind hotel guests' energy conservation behaviour remain underexplored.…”

Section: Introductionmentioning

confidence: 99%

Psychological Drivers of Hotel Guests’ Energy-Saving Behaviours—Empirical Research Based on the Extended Theory of Planned Behaviour

Wang

Xie

et al. 2021

Buildings

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The hospitality industry is an important energy consumer and carbon emitter. Behaviour-driven energy conservation is a strategy with great promise to strengthen the energy efficiency of hotel buildings. The aim of this study is to explore the driving psychological factors of hotel guests’ energy-saving intentions and behaviours. This paper constructs two extensions of the theory of planned behaviour (TPB) with personal norms, past behaviours, and self-determined motivation to explain the guests’ energy-saving behaviour in hotel buildings. This research compares the explanatory power of the original TPB and two extensions with structural equation modelling. The analysis is based on 530 valid, self-reported data from 827 surveyed hotel guests in Shanghai. The analysis suggests that the extended model gains greater explanatory power in predicting the behaviour patterns by employing the above three additional factors. In addition, self-determined motivation presents a more significant impact than other more developed TPB predictors, such as intention and perceived behaviour control. Aside from that, past behaviour replaces attitude as the most critical predictor of hotel energy-saving intention in the extended models. In addition to the existing interventions in office and residential buildings, the research highlights the role of self-determination in hotel energy conservation and further emphasises the long-term benefit of encouraging pro-environmental behaviours in hotel guests. The findings expand the existing research on pro-environmental behaviours and will contribute to energy-saving behaviour intervention in hotel buildings and policy formulations for sustainable hotel operation and maintenance.

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Section: Introductionmentioning

confidence: 99%

Psychological Drivers of Hotel Guests’ Energy-Saving Behaviours—Empirical Research Based on the Extended Theory of Planned Behaviour

Wang

Xie

et al. 2021

Buildings

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“…Despite these structural challenges, the application range of BIM is continuously increasing. Besides planning of new buildings, BIM is used for fire safety [8], life cycle assessment [9] and even monitoring systems with IoTsensors [10,11] or for the maturity assessment of fresh concrete [12]. Nonetheless, a current review still identifies a lack of BIM-applications in maintenance and transportation infrastructure [13].…”

Section: Building Information Modelling (Bim)mentioning

confidence: 99%

Quantified point clouds and enriched BIM-Models for digitalised maintenance planning

Morgenstern

Raupach

2022

MATEC Web Conf.

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Digitisation in the construction industry continues to advance and, together with the increasing dissemination and further development of hardware and software, is steadily opening up further opportunities for innovative ways of working. Building Information Modelling (BIM) is currently becoming the standard for new construction but has not yet been optimised for use in existing buildings. Therefore, the Institute of Building Materials Research (ibac) is researching new methods and possibilities for BIM-based building preservation. In this paper, the automated creation and analysis of point clouds as well as the implementation of further information from in situ diagnosis and monitoring systems in BIM-Models are presented. On a practical example, the different steps of a subsequent digitisation of an existing building are demonstrated considering new possibilities as autonomous robots and the intelligent utilisation of sensors and diagnostics tools. The goal is a decision support tool, which is independent from proprietary software, adaptive to different types of buildings and open for various interfaces. Current results show that quantifying point clouds and making BIM-models usable beyond the planning and execution phase for new buildings are essential steps for the digitisation of building maintenance. The proposed digital workflow holds great potential for effective building diagnoses and efficient service life management.

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“…In the building domain, ABMs have been employed to model building occupants' energy use [37,38] and IAQ in terms of CO 2 and other parameters [39,40,41]. However, again these studies are typically constrained to simulating one single room which agents can enter and leave and do not consider possible airborne virus transmission.…”

Section: Related Workmentioning

confidence: 99%

ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality

Martinez,

Bruse,

Florez-Tapia

et al. 2021

Preprint

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Recent evidence suggests that SARS-CoV-2, which is the virus causing a global pandemic in 2020, is predominantly transmitted via airborne aerosols in indoor environments. This calls for novel strategies when assessing and controlling a building's indoor air quality (IAQ). IAQ can generally be controlled by ventilation and/or policies to regulate human-building-interaction. However, in a building, occupants use rooms in different ways, and it may not be obvious which measure or combination of measures leads to a cost-and energy-effective solution ensuring good IAQ across the entire building. Therefore, in this article, we introduce a novel agent-based simulator, ArchABM, designed to assist in creating new or adapt existing buildings by estimating adequate room sizes, ventilation parameters and testing the effect of policies while taking into account IAQ as a result of complex human-building interaction patterns. A recently published aerosol model was adapted to calculate time-dependent carbon dioxide (CO 2 ) and virus quanta concentrations in each room and inhaled CO 2 and virus quanta for each occupant over a day as a measure of physiological response. ArchABM is flexible regarding the aerosol model and the building layout due to its modular architecture, which allows implementing further models, any number and size of rooms, agents, and actions reflecting human-building interaction patterns. We present a use case based on a real floor plan and working schedules adopted in our research center. This study demonstrates how advanced simulation tools can contribute to improving IAQ across a building, thereby ensuring a healthy indoor environment.

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Building information modeling (BIM), System dynamics (SD), and Agent-based modeling (ABM): Towards an integrated approach

Cited by 41 publications

References 45 publications

Psychological Drivers of Hotel Guests’ Energy-Saving Behaviours—Empirical Research Based on the Extended Theory of Planned Behaviour

Psychological Drivers of Hotel Guests’ Energy-Saving Behaviours—Empirical Research Based on the Extended Theory of Planned Behaviour

Quantified point clouds and enriched BIM-Models for digitalised maintenance planning

ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality

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