Massey Research Online - Browsing by Author "Lovreglio R"

Browsing by Author "Lovreglio R"

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A highway vehicle routing dataset during the 2019 Kincade Fire evacuation.
(Springer Nature Limited, 2022-10-07) Xu Y; Zhao X; Lovreglio R; Kuligowski E; Nilsson D; Cova TJ; Yan X
As the threat of wildfire increases, it is imperative to enhance the understanding of household evacuation behavior and movements. Mobile GPS data provide a unique opportunity for studying evacuation routing behavior with high ecological validity, but there are little publicly available data. We generated a highway vehicle routing dataset derived from GPS trajectories generated by mobile devices (e.g., smartphones) in Sonoma County, California during the 2019 Kincade Fire that started on October 23, 2019. This dataset contains 21,160 highway vehicle routing records within Sonoma County from October 16, 2019 to November 13, 2019. The quality of the dataset is validated by checking trajectories and average travel speeds. The potential use of this dataset lies in analyzing and modeling evacuee route choice behavior, estimating traffic conditions during the evacuation, and validating wildfire evacuation simulation models.
A non-immersive virtual reality serious game application for flood safety training
(Elsevier B.V., 2023-08-12) D'Amico A; Bernardini G; Lovreglio R; Quagliarini E
Various methodologies and technologies have been developed and tested to train communities for natural hazards and investigate human behaviour. The combination of Virtual Reality (VR) and Serious Games (SG) represents a promising solution to expose communities to different hazardous scenarios in a totally safe way and without exposing the testers to any real risks. Previous studies tested VR SG for several different natural hazards and safety training scenarios, but only a few applications have been proposed within the context of flood safety training. Furthermore, comprehensive prototyping works aimed at evaluating VR SG applications in terms of knowledge acquisition, self-efficacy and user experience, are still needed. This work proposes a novel non-immersive VR SG in the context of users' safety in the event of flooding in the urban built environment, pursuing the users' safety training. The proposed application is based on several modules, which can be combined to form different storylines and training objectives. The VR SG capabilities are demonstrated here by firstly considering one significant storyline. Results show a significant increase in self-efficacy and safety knowledge after the VR experience, thus suggesting the possibility to exploit it for increasing users’ awareness and preparedness. Furthermore, results also demonstrate the existence of similarities between real-world behaviours and VR choices by the tested individuals, thus suggesting how an application of this kind could also be used to support the development and validation of flood evacuation simulators.
A quantitative comparison of virtual and physical experimental paradigms for the investigation of pedestrian responses in hostile emergencies.
(Springer Nature, 2024-03-22) Shipman A; Majumdar A; Feng Z; Lovreglio R
Modern experiments investigating human behaviour in emergencies are often implemented in virtual reality (VR), due to the increased experimental control and improved ethical viability over physical reality (PR). However, there remain questions regarding the validity of the results obtained from these environments, and no full validation of VR experiments has yet appeared. This study compares the results of two sets of experiments (in VR and PR paradigms) investigating behavioural responses to knife-based hostile aggressors. This study quantitatively analyses these results to ascertain whether the different paradigms generate different responses, thereby assessing the use of virtual reality as a data generating paradigm for emergencies. The results show that participants reported almost identical psychological responses. This study goes on to identify minimal differences in movement responses across a range of predictors, noting a difference in responses between genders. As a result, this study concludes that VR can produce similarly valid data as physical experiments when investigating human behaviour in hostile emergencies, and that it is therefore possible to conduct realistic experimentation through VR environments while retaining confidence in the resulting data. This has major implications for the future of this type of research, and furthermore suggests that VR experimentation should be performed for both existing and new critical infrastructure to understand human responses in hostile scenarios.
A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target
(Elsevier B.V., 2023-08-29) Haghani M; Coughlan M; Crabb B; Dierickx A; Feliciani C; van Gelder R; Geoerg P; Hocaoglu N; Laws S; Lovreglio R; Miles Z; Nicolas A; O'Toole WJ; Schaap S; Semmens T; Shahhoseini Z; Spaaij R; Tatrai A; Webster J; Wilson A
Crowds can be subject to intrinsic and extrinsic sources of risk, and previous records have shown that, in the absence of adequate safety measures, these sources of risk can jeopardise human lives. To mitigate these risks, we propose that implementation of multiple layers of safety measures for crowds—what we label The Swiss Cheese Model of Crowd Safety—should become the norm for crowd safety practice. Such system incorporates a multitude of safety protection layers including regulations and policymaking, planning and risk assessment, operational control, community preparedness, and incident response. The underlying premise of such model is that when one (or multiple) layer(s) of safety protection fail(s), the other layer(s) can still prevent an accident. In practice, such model requires a more effective implementation of technology, which can enable provision of real-time data, improved communication and coordination, and efficient incident response. Moreover, implementation of this model necessitates more attention to the overlooked role of public education, awareness raising, and promoting crowd safety culture at broad community levels, as one of last lines of defence against catastrophic outcomes for crowds. Widespread safety culture and awareness has the potential to empower individuals with the knowledge and skills that can prevent such outcomes or mitigate their impacts, when all other (exogenous) layers of protection (such as planning and operational control) fail. This requires safety campaigns and development of widespread educational programs. We conclude that, there is no panacea solution to the crowd safety problem, but a holistic multi-layered safety system that utilises active participation of all potential stakeholders can significantly reduce the likelihood of disastrous accidents. At a global level, we need to target a Vision Zero of Crowd Safety, i.e., set a global initiative of bringing deaths and severe injuries in crowded spaces to zero by a set year.
A study of staff pre-evacuation behaviors in a Malaysian hotel
(John Wiley and Sons, Ltd., 2024-10-28) Noumeur A; Lovreglio R; Md Said MS; Baharudin MR; Yusoff HM; Mohd Tohir MZ
Simulating fire and evacuation scenarios is crucial for engineers to assess building safety during fire incidents. Accurate simulations require data on occupants' behaviors, particularly during the pre-evacuation phase as these decisions significantly impact evacuation duration. Gathering comprehensive data from diverse regions while considering cultural and regional variations is necessary to understand how occupants' behavior is influenced. Thus, this study focuses on examining the behavior of Malaysian hotel staff during unannounced fire drill to gain insights into factors affecting their behavior during pre-evacuation stage, such as fire experience, fire alarm, drill participation, fire training, and awareness. The study categorizes the actions performed by the hotel staff into sequences and analyses them based on influencing factors. The findings indicate that instead of immediately evacuating in response to emergency notification, the hotel staff engage in various actions. Most staff members initially investigate or ignore the emergency, resulting in longer pre-evacuation times. Moreover, the results suggest that previous drill participation and high awareness levels contribute to shorter pre-evacuation times. Conversely, previous fire experience, fire training, and fire alarm familiarity have no effect on pre-evacuation time.
A Virtual Reality Exit Choice Experiment to Assess the Impact of Social Influence and Fire Wardens in a Metro Station Evacuation
(Springer Nature, 2025-05-19) Lu S; Rodriguez M; Feng Z; Paes D; Daemei AB; Vancetti R; Mander S; Mandal T; Rao KR; Lovreglio R
Assessing evacuation time is a fundamental task in fire engineering. One of the key decisions made in evacuation dynamics is exit choice. In this work, we propose a new immersive virtual reality (VR) experiment to assess the effects of social influence and fire wardens’ instructions on the exit chosen. We also investigate if and how the perceived level of authority of the fire wardens (i.e., metro staff members or firefighters) can affect these decisions. The proposed immersive VR experiment includes 12 different scenarios during a fire evacuation in an underground metro station. A sample of 131 participants took part in the experiment, making 1048 choices. We estimate a discrete choice model to quantify if and how these factors affect the participants’ decisions. The results show that both instructions by fire wardens and social influence significantly affect exit choice and that the impact of fire wardens can change depending on their perceived level of authority.
Analyzing Risk Perception, Evacuation Decision and Delay Time: A Case Study of the 2021 Marshall Fire in Colorado
(Elsevier B.V., 2023-12-11) Forrister A; Kuligowski ED; Sun Y; Yan X; Lovreglio R; Cova TJ; Zhao X
Climate change is increasing the threat of wildfires to populated areas, especially those within the wildland-urban interface (WUI). The 2021 Marshall fire forced the evacuation of over 30,000 people in Boulder, Jefferson and Adams Counties in Colorado, US. To improve our understanding of wildfire evacuation response, we surveyed individuals affected by the Marshall fire to analyze their evacuation decisions and resulting behavior. We used linear and logistic regression models to determine the factors influencing individuals’ risk perceptions, their decisions to evacuate or stay, and the associated evacuation delay times. We found higher levels of risk perception at the time of the evacuation decision were associated with higher levels of pre-fire perceived risk, having mid-level household income, the receipt of fire cues and having a medical condition. Increased pre-event risk perception increased the likelihood of evacuating, along with gender (female-identified), being aged between 55 and 64 years, and having a higher household income. On the other hand, having a prior awareness of wildfires had a negative effect on evacuation likelihood. Additionally, having previous experience with fire damage, owning their home, having a larger household size and being alerted later in the fire event reduced the delay time; whereas engaging in preparation activities and having children in the home led to longer delay times. These research findings can be used by emergency managers to better prepare WUI communities for future wildfire events.
Augmented reality for pedestrian evacuation research: Promises and limitations
(Elsevier Ltd, 2020-08) Lovreglio R; Kinateder M
Evacuation effectively mitigates potential harm for building occupants in case of emergencies. Virtual and Augmented Reality (VR and AR) have emerged as research tools and means to enhance evacuation preparedness and effectiveness. Unlike VR, where users are immersed in computer-generated environments, the more novel AR technology allows users to experience digital content merged into the real world. Here, we review current (2020) relevant literature on AR as a tool to study and improve building evacuation triggered by a variety of disasters such as fires, earthquakes or tsunami. Further, we provide an overview of application goals, existing hardware and what evacuation stages can be influenced by AR applications. Finally, we discuss strengths, weaknesses, and opportunities (SWOT) of AR to study evacuation behaviour and for research purposes.
Barriers and strategies for building information modelling implementation: a comparative study between New Zealand and China
(1/01/2023) Ma L; Lovreglio R; Yi W; Yiu TW; Shan M
Building Information Modelling (BIM) is a sharing platform that can present a parametric 3 D model with various project information in the form of a digital display. In recent years, BIM adoption has become increasing globally as the Architectural, Engineering, Construction (AEC) industry has recognised its benefits. Meanwhile, many challenges of BIM adoption in different countries have been well documented. To address the gap in literature, this study examines the differences and similarities of BIM adoption between New Zealand and China. A questionnaire was conducted across the two countries to investigate the barriers and strategies for the implementation of BIM. Data from 146 respondents was collected in New Zealand and China. The result shows that there is a difference in the perception of Knowledge Barrier, Technology Barrier, Internal Strategy and External Strategy (Legal/Technology viewpoint) between New Zealand professionals and Chinese professionals. The differences identified offer important implications for government agencies to promote BIM implementation and for BIM service providers to better target the end-users.
Calibrating the Wildfire Decision Model using hybrid choice modelling
(Elsevier Ltd, 2020-11) Lovreglio R; Kuligowski E; Walpole E; Link E; Gwynne S
Wildfire occurrences is creating serious challenges for fire and emergency response services and a diverse range of communities around the world due to the increment of the occurrence of these disasters. As such, understanding the physical and social dynamics characterizing wildfires events is paramount to reduce the risk of these natural disasters. As such, one of the main challenges is to understand how households perceive wildfires and respond to them as part of the evacuation process. In this work, the Wildfire Decision Model originally proposed in Lovreglio et al. [1] is calibrated using a hybrid choice model formulation. The Wildfire Decision Model is a newly developed behavioural choice model for large-scale wildfire evacuations based on the estimation of the risk perceived by households and the impact that this has on the decision-making process. This model is calibrated using a hybrid choice modelling solution and survey data collected after the 2016 Chimney Tops 2 wildfire in Tennessee, USA. The proposed model shows good agreement with the preliminary findings available in the wildfire evacuation literature; namely, the perceived risk is affected by both external factors (i.e., warnings and fire cues) and internal factors (i.e., education, previous wildfire evacuation experience and time of residency in a property).
Can active and passive wayfinding systems support fire evacuation in buildings? Insights from a virtual reality-based experiment
(Elsevier B.V., 2023-05-24) Bernardini G; Lovreglio R; Quagliarini E; D'Orazio M
Occupant safety in case of building fires depends on the selection of proper evacuation routes. Today, several passive and active Emergency Wayfinding Systems (EWSs) have been proposed to support occupant route choices. Nevertheless, their effectiveness should be accurately assessed before being manufactured and used. In this sense, Virtual Reality (VR) could support the design and preliminary evaluation phases, using the Theory of Affordances to quantitatively verify if the EWSs are correctly visible, understood, and able to support users in fulfilling the evacuation goal. This work hence aims at comparing the efficiency of different EWSs in terms of the Theory of Affordances through a VR experiment involving more than 70 volunteers of different ages. The experimental setup focuses on three types of EWSs (punctual and photoluminescent; passive, continuous and photoluminescent; continuous and active) and lights-on, lights-off and smoke conditions in an educational building. Results mainly indicate that the passive EWSs receive a higher rating while supporting the direction selection, while the active EWS is more effective along mono-directional paths. The work also confirms the capabilities of the proposed combined affordances-based and VR-based approach, boosting future works and suggesting additional comparisons between real-world and VR experiments on emergency wayfinding tasks and systems.
Community risk perception for flood management: A structural equation modelling approach
(Elsevier B.V., 2023-10-15) Santoro S; Lovreglio R; Totaro V; Camarda D; Iacobellis V; Fratino U
The importance of considering risk perception for the support of flood risk management is widely recognised. Therefore, evaluating citizens' risk perception is essential to understand the elements belonging to the social sphere that can affect the increase of risk. This knowledge can support policy makers and disaster managers in establishing more effective management strategies, priority setting, resource allocation and prevention activities. The presence of urban areas exposed to flood risks poses complex decision-making problems for the planning and management of future organisations of local territories and communities. This work provides an assessment of citizens' perception of flood risk through the construction of a Structural Equation Model (SEM) to identify useful elements to support flood management in a new type of vulnerable areas which have 'episodic streams’ called lame. This was achieved by investigating the citizens’ risk perception and knowledge in the city of Bari. The data was collected using a online survey. Based on the data from 752 respondents, our modelling results provide insights and suggestions to support flood management decision-making as they highlight the heterogeneity of the sample involved, bringing out the categories of citizens most exposed to risk, to which specific measures can be addressed.
Decoding Hospital Evacuation Drills: Pre-movement and Movement Analysis in New Zealand
(Springer Science+Business Media, LLC, 2025-04-24) Geoerg P; de Schot L; Lovreglio R
Hospital evacuations present unique challenges due to the dependency of patients on medical staff and specialized equipment, making the process particularly complex. This study investigates the pre-movement and movement phases during hospital evacuation drills conducted in New Zealand, providing rare and valuable data that are critical for improving evacuation modeling in healthcare settings. Eight evacuation drills were conducted across various hospital units, including General Ward (GW) spaces, a Hyper Acute Stroke Unit (HASU), a High Dependency Unit (HDU), and a Post-Anesthesia Care Unit (PACU), with detailed documentation and analysis of preparation times, pre-movement times, and evacuation speeds. The results reveal significant variability in pre-movement times, heavily influenced by the specific needs of different units and the evacuation methods employed (e.g., beds, wheelchairs, walking). High-acuity units like the HDU, where patients require extensive medical support, exhibited notably longer active preparation times due to the complexity of disconnecting medical equipment. Additionally, horizontal movement speeds were slower for patients evacuated on beds compared to those using wheelchairs or walking. Given the rarity of such data and the uncertainty about the applicability of findings from other building types, this study underscores the need for tailored evacuation strategies that consider the distinct requirements of hospital environments. The findings highlight the importance of accounting for the dependencies on medical personnel and equipment, contributing to more accurate and effective evacuation planning in healthcare facilities. Further, the findings highlight the nuanced behaviours observed during healthcare evacuations, and provide valuable inputs for fire and evacuation modellers when designing for healthcare occupancies.
Determinants of Gaps in Human Behaviour in Fire Research
(Springer Nature, 2024-08-08) Ronchi E; Kapalo K; Bode N; Boyce K; Cuesta A; Feng Y; Galea ER; Geoerg P; Gwynne S; Kennedy EB; Kinateder M; Kinsey M; Kuligowski E; Köster G; Lovreglio R; Mossberg A; Ono R; Spearpoint M; Strahan K; Wong SD
This short communication presents the findings of the work conducted by the human behaviour in fire permanent working group of the International Association for Fire Safety Science. Its aim is to identify determinants of research gaps in the field of human behaviour in fire. Two workshops were conducted in 2023 in which research gaps were identified and discussed by twenty experts. The workshops led experts through a series of questions to determine the reasons (or determinants) for these gaps in human behaviour in building fires and wildfires. Through the questions, the primary identified determinants were (1) researchers’ literacy in the variety of methods adopted in the field, (2) difficulties associated with recruitment of study participants, (3) multi-disciplinary barriers across different research sub-domains, and (4) issues in obtaining funding for addressing fundamental human behaviour in fire research questions. Two key issues emerged from an open discussion during the workshops, namely the difficulties in attracting and training new people in the field (given the limited educational offers around the world on the topic) and the need for more regular opportunities for the community to meet.
Digital technologies and data-driven delay management process for construction projects
(Frontiers Media S.A, 2022-12-21) Radman K; Jelodar MB; Lovreglio R; Ghazizadeh E; Wilkinson S
One of the main challenges of construction projects is managing delays; there is still a lot to overcome to reach near-zero delays (mitigation of delays) in all construction projects. Technology and different platforms are applied to support a high volume of data flow acquired from multiple resources during the construction project life cycle; how can these automated and digital progress tracking systems be considered for more effective construction delay management? The aim is to investigate the current state of real-time technologies and their applications and assess how specific attributes of these disruptive technologies can significantly alter delay management in construction industries. Therefore, this study presents a new process-based framework for using technologies with a data lifecycle viewpoint. This research uses a four-step systematic literature review involving identification, screening, extortion-eligibility check, and selection-inclusion. Furthermore, it is followed up by a thematic content analysis on using new technologies to mitigate delays in construction projects. Key trends, themes, areas of concern for research, and limitations identified in previous literature as research gaps and future needs were documented and structured. This work presents a novel process of comprehensive classification of real-time technologies that are being used in the construction industry to acquire data, screen/analyses data, and present information through an Industry 4.0 application: IoT technologies such as sensors, RFID etc., smartphones, planning/scheduling tools (Ms Project, Primavera), and Building Information Modelling (BIM). The developed process-based framework is served as a roadmap to 1) centralise real-time communication between technologies to collect, analysis and presentation data in construction phase, 2) prepare timely reports for project managers to take proper action against those problems delaying project.
Enhancing egress drills: Preparation and assessment of evacuee performance
(1/10/2019) Gwynne SMV; Kuligowski ED; Boyce KE; Nilsson D; Robbins AP; Lovreglio R; Thomas JR; Roy-Poirier A
This article explores how egress drills—specifically those related to fire incidents—are currently used, their impact on safety levels, and the insights gained from them. It is suggested that neither the merits of egress drills are well understood, nor the impact on egress performance well characterized. In addition, the manner in which they are conducted varies both between and within regulatory jurisdictions. By investigating their strengths and limitations, this article suggests opportunities for their enhancement possibly through the use of other egress models to support and expand upon the benefits provided. It is by no means suggested that drills are not important to evacuation safety—only that their inconsistent use and the interpretation of the results produced may mean we (as researchers, practitioners, regulators, and stakeholders) are not getting the maximum benefit out of this important tool. © 2017 Her Majesty the Queen in Right of Canada. Fire and Materials StartCopText© 2017 John Wiley & Sons, Ltd.
Exploring home-to-school trip mode choices in Kandy, Sri Lanka
(1/02/2022) Dias C; Abdullah M; Lovreglio R; Sachchithanantham S; Rekatheeban M; Sathyaprasad IMS
Schools are major trip generators in urban areas and school trips may largely contribute to the congestion, particularly during morning peak hours. This study investigates the home-to-school trip mode choices in Kandy city, which is a major city in Sri Lanka. The data were collected through a questionnaire survey distributed among junior, lower senior, and upper senior students of ten major schools located in Kandy city in 2015. School trip mode choices, that comprise several common travel modes in Sri Lanka, i.e., walking, public bus, school bus, school van, private vehicles (car or van), motorcycle, and three-wheeler, were modeled using multinomial logit and mixed logit frameworks. The results indicated that gender, age, household income, school type and distance play a significant role in determining the school transport mode. That is, male students were more likely to choose public buses, walking, and private vehicles relative to other transport (three-wheeler and motorcycle combined) as compared to female students. Further, older students were more likely to walk, take a school bus and public bus relative to other transport when compared to the younger students. Distance to school was found to significantly affect all the school transport modes. National or Provincial school students were more likely to use a school bus and less likely to use a private vehicle. Transport planners and policymakers could use the outcomes of this study, especially to implement congestion mitigation measures in city centers during morning peaks. Besides, some aspects of this study could be used to regulate and legalize some private transport modes, e.g., privately operated school vans, to provide a safer, reliable, and economical service to school-going children.
Exploring occupant exit choices during fire drills and false alarm evacuations in a library
(Elsevier Ltd., 2024-11-21) Tong Y; Bode NWF; Haghani M; Lovreglio R
Effective disaster management and public safety rely heavily on understanding human behaviour during evacuations. This study investigates 497 occupant exit choices in real-world evacuation scenarios including two evacuation drills and two false alarm evacuations in a university library building. These authentic settings offer a unique opportunity to examine real-world decision-making processes during evacuations. Employing a multinomial logit model, we quantitatively assess the impact of essential factors on human decision-making. Statistical analysis reveals that participants tend to choose the exits chosen by the majority, closer exits, exits indicated by staff, or exits they are familiar with. We found that participants on the ground floor showed a greater preference for familiar exits compared to those on other floors. Most importantly, we found that in fire drills the effect of crowding and familiarity on exit choices was reduced compared to false alarm evacuations. These findings underscore the critical implications for the conduct of drills and emphasise the importance of studying the contextual dependency of human behaviour during evacuations. Our work also contributes a novel exit choice dataset collected in a naturalistic setting and highlights the importance of the context in influencing pedestrian decision-making during evacuations.
Exploring single-line walking in immersive virtual reality
(Elsevier B.V., 2023-08-16) de Schot L; Nilsson D; Lovreglio R; Cunningham T; Till S
With increasing rates of elderly and obese people in the population, questions are being raised about the validity of inputs used by computer evacuation models to predict the movement of crowds in the built environment. The objective of this study is to examine the movement of individuals in a VR environment. Exploring individual movement in VR (where the individual is exposed to a virtual environment with virtual agents while actually moving alone in the physical environment) is a necessary step on the path to determining if VR is a useful tool to gather new crowd movement data. Specifically, this work presents the results of two experiments that were conducted to measure the correlation between inter-person distance (the distance from a participant to a virtual agent) and walking speed. Results show a positive correlation between walking speed and the inter-person distance for inter-person distances between 1.0 and 1.5 m. Above inter-person distances of 1.5 m, walking speed was not dependent on inter-person distance. An important finding from this work is no observed significant difference in the relationship between walking speed and inter-person distance across both experimental setups – ‘pushing’ or ‘following’ configurations. Finally, this work shows the potential of gathering individual movement data using VR.
Gamification for air quality education: A systematic literature review
(Elsevier B.V., 2025-01-09) Daemei AB; Lovreglio R; Feng Z; Paes D; Miller C
Air quality is crucial to our health and well-being, as poor air quality can lead to serious health problems such as asthma, allergies, and other respiratory conditions. Educating people about air quality is key to improving awareness and taking action to reduce its negative effects. Gamification offers a creative and engaging way to deliver educational content by incorporating game elements into the learning experience. However, despite its potential, there has been no review of how gamification has been used for air quality education. Thus, this review aims to fill that gap by systematically examining how gamification is applied to air quality education in the built environment. We explored a range of games and applications used to educate the public on air quality. To guide our analysis, we used the Octalysis framework, which focuses on game elements that motivate and engage users. Following the PRISMA guidelines for systematic reviews, we identified 19 relevant papers published between 2009 and 2023. From these, we developed 8 research questions to guide the review process and analyzed the game elements using the Octalysis framework. Our findings show that most studies focus on residential buildings, with a key focus on raising awareness of the health impacts of air pollution and managing asthma. Notably, many of these studies target children, who are more vulnerable to air pollution. We also introduce the first taxonomy for gamification in air quality education, providing a clear structure for future game development in this area. Finally, the review highlights the need to explore other educational topics that could benefit from gamification, and how this approach could improve both indoor and urban air quality, as well as reduce energy consumption.

Browsing by Author "Lovreglio R"

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