Immersive virtual reality (IVR) allows viewing abstract concepts and entities in a three dimensional (3D) visuospatial environment. In this paper, we innovatively introduced IVR technology into the verification of the as-built state of electric line networks in buildings. On the one hand, using a reasoning-based estimation of electric networks as a starting point, we demonstrated the usability of IVR technology for verifying installed utilities in buildings. On the other hand, we established the communication between the Reasoner and the practitioner and also simulated the verification action of electric line networks in buildings in the real world. The principal findings of this work pave the way for a subsequent and systematic evaluation of the different reasoning strategies for estimating and generating the as-built state of building utilities.

doi:10.1007/978-3-031-43699-4_8

@inproceedings{knechtel2024immersiveVRElectricNetworks,
    abstract = {Immersive virtual reality (IVR) allows viewing abstract concepts and entities in a three dimensional (3D) visuospatial environment. In this paper, we innovatively introduced IVR technology into the verification of the as-built state of electric line networks in buildings. On the one hand, using a reasoning-based estimation of electric networks as a starting point, we demonstrated the usability of IVR technology for verifying installed utilities in buildings. On the other hand, we established the communication between the Reasoner and the practitioner and also simulated the verification action of electric line networks in buildings in the real world. The principal findings of this work pave the way for a subsequent and systematic evaluation of the different reasoning strategies for estimating and generating the as-built state of building utilities.},
    address = {Cham},
    author = {Knechtel, Julius and Li, Weilian and Orgeig, Yannick and Haunert, Jan-Henrik and Dehbi, Youness},
    booktitle = {Recent Advances in 3D Geoinformation Science (Proceedings of the 18th 3D GeoInfo Conference 2023, Munich)},
    doi = {10.1007/978-3-031-43699-4\_8},
    editor = {Kolbe, Thomas H. and Donaubauer, Andreas and Beil, Christof},
    isbn = {978-3-031-43699-4},
    pages = {129--143},
    publisher = {Springer Nature Switzerland},
    title = {{I}mmersive {V}irtual {R}eality to {V}erify the {A}s-built {S}tate of {E}lectric {L}ine {N}etworks in {B}uildings},
    year = {2024}
}

Abstract Detecting and collecting public opinion via social media can provide near real-time information to decision-makers, which plays a vital role in urban disaster management and sustainable development. However, there has been little work focusing on identifying the perception and the sentiment polarity expressed by users during and after disasters, particularly regional flood events. In this article, we comprehensively analyze tweets data related to the “European floods in 2021” over time, topic, and sentiment, forming a complete workflow from data processing, topic modeling, sentiment analysis, and topic and sentiment prediction. The aim is to address the following research questions: (1) What are the public perception and main concerns during and after floods? (2) How does the public sentiment change during and after floods? Results indicate that there is a significant correlation between a flood's trend and the heat of corresponding tweets. The three topics that receive the most public concern are: (1) climate change and global warming; (2) praying for the victims: and (3) disaster situations and information. Negative sentiments are predominant during the floods and will continue for some time. We tested five different classifiers, of which TextCNN-attention turned out to deliver the best predictions in topic and sentiment prediction, and performed well for sparse flood tweets, it can be used to predict the topic and sentiment polarity of a single tweet in real-time during the flood events. Our findings can help disaster agencies to better understand the dynamics of social networks and develop stronger situational awareness towards a disaster, which can contribute to scientifically justified decision-making in urban risk management and also meet the challenges associated with the global sustainable development goal 11 (SDGs) on Sustainable Cities and Communities.

doi:https://doi.org/10.1111/tgis.13097

@article{li2023socialMediaDisaster,
    abstract = {Abstract Detecting and collecting public opinion via social media can provide near real-time information to decision-makers, which plays a vital role in urban disaster management and sustainable development. However, there has been little work focusing on identifying the perception and the sentiment polarity expressed by users during and after disasters, particularly regional flood events. In this article, we comprehensively analyze tweets data related to the “European floods in 2021” over time, topic, and sentiment, forming a complete workflow from data processing, topic modeling, sentiment analysis, and topic and sentiment prediction. The aim is to address the following research questions: (1) What are the public perception and main concerns during and after floods? (2) How does the public sentiment change during and after floods? Results indicate that there is a significant correlation between a flood's trend and the heat of corresponding tweets. The three topics that receive the most public concern are: (1) climate change and global warming; (2) praying for the victims: and (3) disaster situations and information. Negative sentiments are predominant during the floods and will continue for some time. We tested five different classifiers, of which TextCNN-attention turned out to deliver the best predictions in topic and sentiment prediction, and performed well for sparse flood tweets, it can be used to predict the topic and sentiment polarity of a single tweet in real-time during the flood events. Our findings can help disaster agencies to better understand the dynamics of social networks and develop stronger situational awareness towards a disaster, which can contribute to scientifically justified decision-making in urban risk management and also meet the challenges associated with the global sustainable development goal 11 (SDGs) on Sustainable Cities and Communities.},
    author = {Li, Weilian and Haunert, Jan-Henrik and Knechtel, Julius and Zhu, Jun and Zhu, Qing and Dehbi, Youness},
    doi = {https://doi.org/10.1111/tgis.13097},
    journal = {Transactions in GIS},
    number = {6},
    pages = {1766-1793},
    title = {Social {M}edia {I}nsights on {P}ublic {P}erception and {S}entiment {D}uring and {A}fter {D}isasters: {T}he {E}uropean {F}loods in 2021 as a {C}ase {S}tudy},
    volume = {27},
    year = {2023}
}

The objective of disaster scenes is to share location-based risk information to a large audience in an effective and intuitive way. However, current studies on three-dimensional (3D) representation for dam-break floods have the following limitations: (1) they are lacking a reasonable logic to organize the whole process of dam-break floods, (2) they present information in a way that cannot be easily understood by laypersons. Geospatial storytelling helps to create exciting experiences and to explain complex relationships of geospatial phenomena. This article proposes a three-dimensional virtual representation method for the whole process of dam-break floods from a geospatial storytelling perspective. The creation of a storyline and a storytelling-oriented representation of dam-break floods are discussed in detail. Finally, a prototype system based on WebGL is developed to conduct an experiment analysis. The results of the experiment show that the proposed method can effectively support 3D representation of the spatiotemporal process of dam-break floods. Furthermore, the statistical results indicate that the storytelling is useful for assisting participants in understanding the occurrence and development of dam-break floods, and is applicable to the popularization of disaster science for the general public.

doi:10.1080/17538947.2022.2118877

@article{li2022storytelling,
    abstract = {The objective of disaster scenes is to share location-based risk information to a large audience in an effective and intuitive way.
However, current studies on three-dimensional (3D) representation for dam-break floods have the following limitations: (1) they are lacking a reasonable logic to organize the whole process of dam-break floods,
(2) they present information in a way that cannot be easily understood by laypersons. Geospatial storytelling helps to create exciting experiences and to explain complex relationships of geospatial phenomena.
This article proposes a three-dimensional virtual representation method for the whole process of dam-break floods from a geospatial storytelling perspective.
The creation of a storyline and a storytelling-oriented representation of dam-break floods are discussed in detail. Finally, a prototype system based on WebGL is developed to conduct an experiment analysis.
The results of the experiment show that the proposed method can effectively support 3D representation of the spatiotemporal process of dam-break floods.
Furthermore, the statistical results indicate that the storytelling is useful for assisting participants in understanding the occurrence and development of
dam-break floods, and is applicable to the popularization of disaster science for the general public.},
    author = {Weilian, L. and Jun, Z. and Haunert, J.-H. and Lin, F. and Qing, Z. and Dehbi, Y.},
    doi = {10.1080/17538947.2022.2118877},
    journal = {International Journal of Digital Earth},
    pages = {1637--1656},
    title = {Three-dimensional virtual representation for the whole process of dam-break floods from a geospatial storytelling perspective},
    volume = {15},
    year = {2022}
}

The complexity of disasters creates a significant challenge in the knowledge acquisition of the public. With the development of geospatial technologies, maps, geographic information science (GIS), and virtual geographic environment (VGE) are widely used to represent disaster information and help the public better understand disaster risk. However, the application, design, and specific challenges have not been investigated comprehensively in disaster information representation thus far. This article presents the weaknesses and strengths of the existing methods for representing disaster information in the last decades, and then the authors contribute some basic ideas for efficient disaster knowledge communication. The objective of this paper is to provide a clear image that improves users’ understanding of disaster information and bridge the communication gaps in disaster management. Finally, we suggest readers applying further creative thinking strategies to address the challenges associated with communicating disaster knowledge.

doi:10.1111/tgis.12922

@article{dehbi2020improving,
    abstract = {The complexity of disasters creates a significant challenge in the knowledge acquisition of the public.
With the development of geospatial technologies, maps, geographic information science (GIS), and virtual geographic environment (VGE) are widely used to represent disaster information and help the public better
understand disaster risk. However, the application, design, and specific challenges have not been investigated comprehensively in disaster information representation thus far.
This article presents the weaknesses and strengths of the existing methods for representing disaster information in the last decades, and then the authors contribute some basic ideas for efficient disaster knowledge communication.
The objective of this paper is to provide a clear image that improves users’ understanding of disaster information and bridge the communication gaps in disaster management.
Finally, we suggest readers applying further creative thinking strategies to address the challenges associated with communicating disaster knowledge.},
    author = {Li, W. and Zhu, J. and Pirasteh, S. and Zhu, Q. and Fu, L. and Wu, J. and Hu, Y. and Dehbi, Y.},
    doi = {10.1111/tgis.12922},
    eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12922},
    journal = {Transactions in GIS},
    number = {3},
    pages = {1376-1398},
    title = {Investigations of disaster information representation from a geospatial perspective: progress, challenges and recommendations},
    url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/tgis.12922},
    volume = {26},
    year = {2022}
}