Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty

Li, Huan; Liu, Tiantian; Chan, Harry Kai-Ho; Lu, Hua

doi:10.3389/fdata.2022.1049198

Cited by 3 publications

(4 citation statements)

References 82 publications

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“…Spatial awareness: This encompasses an ongoing understanding of the spatial context for human behavior, including the status of building systems (e.g., HVAC), the allocated function to multi-functional spaces, the location of resources and movable equipment, and the prevailing environmental conditions in terms of light, temperature, and acoustics. Unlike other approaches [58], this conceptualization incorporates environmental attributes since they offer critical data to evaluate space characteristics and guide their utilization.…”

Section: Situational Awarenessmentioning

confidence: 99%

Human Behavior Adaptability in Responsive Buildings: An Exploratory Study in Workplace Settings

Schaumann

2024

Buildings

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The increased uptake of information and communication technologies (ICTs) is fostering the development of responsive buildings that are aware of and respond to human needs. Current approaches mainly focus on adapting building systems to enhance people’s comfort and energy performance. Little is known about how responsive buildings can inform human behavior adaptability to meet the diverse needs of individuals and organizations within built environments. This study recorded the outcomes of six multi-agent simulation projects exploring human behavior adaptability in different workplace settings. The results have been analyzed through the lenses of ‘place’ theory to extrapolate a framework for human behavior adaptability, jointly considering the characteristics of the spaces, the people that inhabit them, and their activities. This framework provides analytical insights on the design and development of adaptability strategies that consider non-linear interactions and dependencies between the characteristics of the built environment, the needs of the inhabitants, and the goals of organizations.

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Section: Situational Awarenessmentioning

confidence: 99%

Human Behavior Adaptability in Responsive Buildings: An Exploratory Study in Workplace Settings

Schaumann

2024

Buildings

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“…The object-status aspect includes the dynamic features of the function object. Examples are the dynamic signals of a traffic light [ 30 ] and the opening status of a door [ 31 ]. Finally, the phase of the relation is reserved for explaining the changing movement patterns that may emerge in the interaction between pedestrians and objects.…”

Section: Characteristics Of Functional Objectsmentioning

confidence: 99%

“…It is rarely studied in the context of urban environments. One rare example is the status of automatic doors [ 31 ], which changes the accessibility of a walking space. Other potential statuses include engaged status and broken status.…”

Section: Characteristics Of Functional Objectsmentioning

confidence: 99%

Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling

Lui¹,

Chan²,

Hung³

2023

Sensors

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Functional objects are large and small physical entities installed in urban environments to offer specific functionalities to visitors, such as shops, escalators, and information kiosks. Instances of the novel notion are focal points of human activities and are significant in pedestrian movement. Pedestrian trajectory modelling in an urban scene is a challenging problem because of the complex patterns resulting from social interactions of the crowds and the diverse relation between pedestrians and functional objects. Many data-driven methods have been proposed to explain the complex movements in urban scenes. However, the methods considering functional objects in their formulation are rare. This study aims to reduce the knowledge gap by demonstrating the importance of pedestrian–object relations in the modelling task. The proposed modelling method, called pedestrian–object relation guided trajectory prediction (PORTP), uses a dual-layer architecture that includes a predictor of pedestrian–object relation and a series of relation-specific specialized pedestrian trajectory prediction models. The experiment findings indicate that the inclusion of pedestrian–object relation results in more accurate predictions. This study provides an empirical foundation for the novel notion and a strong baseline for future work on this topic.

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“…According to B. Li, Lin, and Guo (2020), green innovation is crucial for both economic growth and environmental preservation. There is a lack of clarity about EPU and eco-friendly innovation.…”

Section: Background Of Studymentioning

confidence: 99%

How does Economic Policy Uncertainty affect Green Innovation?

Fakher

Khurshid

Naseem

et al. 2023

Pak. J. Humanit. Soc. Sci

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This study aims to examine the impact of economic policy uncertainty (EPU) on green innovation in the Chinese context. When economic policies are changed often, the Economic Policy Uncertainty (EPU) index rises. There is a dearth of studies examining how EPU affects corporate green innovation. This research shows that between 2007 and 2021, Economic Policy Uncertainty (EPU) would have a negative impact on green innovation inside Chinese corporations. Budgetary restraints cushion green innovation from the negative effects of Economic Policy Uncertainty (EPU). Subsidies for the environment provided by the government may help reduce EPU. Eco-friendly innovation is negatively connected with EPU, especially for privately owned businesses, those in less competitive sectors, and those in locations with weak intellectual property protections. This research suggests that in order to encourage environmentally responsible business innovation, authorities should increase the proportion of public monies spent on environmental protection and IP rights protection. Green innovation is more prevalent in times of high economic policy uncertainty. Different provinces, with varying degrees of marketization and FDI, display varying degrees of Economic Policy Uncertainty (EPU). The findings show that Environmental Policy Uncertainty (EPU) has a greater impact on green innovation in locations with higher degrees of marketization and trade openness compared to regions with lower levels of marketization and trade openness. The current study may be used to the investigation of government methods for fostering environmentally friendly innovation in the face of policy ambiguity.

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Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty

Cited by 3 publications

References 82 publications

Human Behavior Adaptability in Responsive Buildings: An Exploratory Study in Workplace Settings

Human Behavior Adaptability in Responsive Buildings: An Exploratory Study in Workplace Settings

Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling

How does Economic Policy Uncertainty affect Green Innovation?

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