Search results

The increasing urgency to address climate change in construction has made green construction (GC) and sustainability critical topics for academia and industry professionals. However, the volume of literature in this field has made it impractical to rely solely on traditional systematic evidence mapping methodologies.

This study employs machine learning (ML) techniques to analyze the extensive evidence-base on GC. Using both supervised and unsupervised ML, 5,462 relevant papers were filtered from 10,739 studies published from 2010 to 2022, retrieved from the Scopus and Web of Science databases.

Key themes in GC encompass green building materials, construction techniques, assessment methodologies and management practices. GC assessment and techniques were prominent, while management requires more research. The results from prevalence of topics and heatmaps revealed important patterns and interconnections, emphasizing the prominent role of materials as major contributors to the construction sector. Consistency of the results with VOSviewer analysis further validated the findings, demonstrating the robustness of the review approach.

Unlike other reviews focusing only on specific aspects of GC, use of ML techniques to review a large pool of literature provided a holistic understanding of the research landscape. It sets a precedent by demonstrating the effectiveness of ML techniques in addressing the challenge of analyzing a large body of literature. By showcasing the connections between various facets of GC and identifying research gaps, this research aids in guiding future initiatives in the field.

The purpose of this study is to develop a framework to assess the disaster management mechanism in Sri Lanka by means of the established indicators and newly derived indicators. This could be used to identify the parameters, which should be paid much attention to improving the resilience of the built environment.

This paper initially examines the effectiveness of the existing mechanism using data from a field study, by identifying the parameters needed to be considered based on the existing literature. Then the study continues on identifying new parameters of evaluation, covering a broad multidisciplinary scope inclusive of geographic, demographic, environmental, technological, social, economic and political perspectives. The identification process is based on regression relationships; hence, a framework will be developed to assess the resilience of the built environment.

The findings showed that the existing disaster management mechanism should be improved in terms of authoritative assistance while the humanitarian assistance is fulfilled to a satisfactory level as the resilience of the built environment is often community-based in Sri Lanka. Furthermore, resilience of a certain region could be effectively assumed with the indicators within the developed framework.

The existing evaluation criteria of the resilience framework in Sri Lanka is rather qualitative than quantitative. Therefore, this paper focuses on developing a framework where quantitative parameters are used to evaluate the existing mechanism from a number of responses from field surveys. In addition, recommendations for the key areas to be focused on developing the existing mechanism are stated.

This study aims to evaluate the coastal disaster resilience and the disaster management framework of Sri Lanka, by conducting a case study in a few coastal areas in the district of Matara which were majorly affected in 2004 by the Indian Ocean Tsunami. Although it has been 15 years since the disaster struck the country, Sri Lanka is still struggling in building back better. This reveals the need to strengthen the action plan toward coastal disaster management by identifying the barriers and challenges that still exist in policies and frameworks, the use of technology in evacuation planning, implementation of evacuation plans and capacity building of the community.

This study was conducted through structured and in-depth interviews among the general public and government officials targeting the eventual outcome as to ascertain barriers incorporated with the disaster management framework and then possible improvements to the framework were identified and suggested.

The findings showed that the practice of an administrative-oriented disaster management framework was a key element in creating a welfare-oriented community that is still building back better in Matara, which was one of the worst affected cities in the country during the 2004 Tsunami.

This paper facilitates resilience development by identifying the overall development of the system after 2004. The required modifications needed to strengthen the system have thereby been identified through the developed output which was produced by analyzing the barriers and challenges.

This paper aims to identify the specific parameters in developing a framework to assess the structural vulnerability of hospital buildings in Sri Lanka against tsunami. Along with that, the adaptability and suitability of the existing global frameworks in the Sri Lankan context are to be assessed.

In this study, Papathoma tsunami vulnerability assessment (PTVA)-4 model was used as the base in developing the abovementioned framework. Its adaptability and suitability in assessing hospital buildings in the country were considered under the case studies conducted in six selected hospitals in the Southern coastal belt of Sri Lanka. Under these case studies, data collection was done using the Rapid Visual Screening method where assessments were carried out through visual observations. The collected data were analyzed according to the aforementioned model for its suitability in evaluating the structural vulnerability of hospitals in Sri Lanka, against tsunami hazard.

From these case studies, it was identified that the use of the PTVA-4 model alone was insufficient to assess the structural vulnerability of the hospital buildings against the tsunami. Therefore, the model must be further improved with more relevant assessing attributes related to hospitals, suitable for the Sri Lankan context.

This paper identifies the specific structural assessment parameters required in assessing hospitals in the coastal belt of Sri Lanka, considering tsunami as the main hazard condition.

Infrastructures become critical with the emerging threats triggering through disasters. Sri Lanka is a country with a higher risk of disaster impacts, in which the eye-opening has widened towards mitigating the damages towards critical infrastructures. Based on this, the purpose of this paper is to develop an index that identifies the significance of critical infrastructure resilience.

From the initial literature survey, disaster resilience is defined as capacity of three stages, absorptive, adaptive and restorative along with ten indicators to measure capacities. Selected indicators were then checked for suitability for scope of the research based on opinions of seven experts. Subsequently, the critical infrastructure resilience index (CIRI) was introduced such that the numerical values for each indicator are aggregated using the Z score method. Statistical relations between the actual impact against disasters and CIRI calculated for administrative regions in Sri Lanka were used as the final step to validate the developed index.

Resilience index development is presented in this paper with a comprehensive methodology of developing and validation. Further, the case study results imply the weakness and strengths in each resilience capacities, which are important in decision-making.

Unavailability of disaster impact data and centralized data repository were main constrains in the validation process of this research. Hence proxy data was used to validate resilience index in this research.

This research identified and validated a novel approach of defining disaster resilience index for regional decision-making.

The current National Early Warning System for Sri Lanka (NEWS: SL) was established after the devastations of the Indian Ocean Tsunami in 2004. Although early warning (EW) systems and evacuation procedures are in place, several areas which need improvements have been emphasized in recent studies carried out in the country. Therefore, this paper aims to outline the gaps in existing EW and EP related to tsunami and other coastal hazards with a special focus on the use of social media for disaster communication based on age groups.

This study has drawn on a review of past studies carried out by the same research team to identify the scope of the study. In addition to that, a conceptual framework was developed for the use of social media in the event of a disaster. Based on this conceptual framework, an online questionnaire was administered to identify the current status of the use of social media in Sri Lanka during a disaster situation. In total, 408 responses were collected and analyzed using the binary logistic regression method to evaluate the variation of different predictors associated with the use of social media for disaster communication.

Findings of the study revealed that the use of social media for disaster communication depends on the previous experience of users and their age. The gender of users does not affect the use of social media for disaster communication. Therefore, the accuracy and timeliness of disaster information distributed via social media should be improved further to enhance the use of social media for disaster communication. Moreover, the findings have highlighted unaddressed issues in areas such as governance; communication of technical agencies; evacuation and shelters; and response of the community.

This paper has identified key areas that need attention in the process of enhancing the use of social media for disaster communication. More use of technological platforms such as social media for receiving disaster-related information can address issues such as bottlenecks in communication, poor awareness and lack of last-mile dissemination. Furthermore, this paper has proposed recommendations for addressing the identified gaps in the overall EW mechanisms and EP pertaining to tsunamis and other coastal hazards to enhance the coastal disaster resilience in Sri Lanka.

The purpose of the study is to mainstream the disaster risk reduction (DRR) and disaster resilience measures into the GreenSL® building rating system in Sri Lanka to demonstrate a more holistic approach in achieving sustainability with resilience.

First, a comprehensive literature review was carried out on green building practices and rating tools, natural hazards and DRR and global and local frameworks. Next, criteria were developed incorporating the disaster resilience aspects through eight expert committee meetings and included the rating tool in three levels. Finally, 11 green-certified buildings from the Green Building Council of Sri Lanka were reevaluated using the new disaster resilient GREENSL® rating system for built environment as a validation for the new tool and to analyze the new certification levels.

All the green-certified buildings in hazard-prone areas dropped their certification by one level while the buildings in nonhazard-prone areas remained in the certification after being evaluated by the new DRR-incorporated rating system, which recommends the use of new tool for the buildings in hazard-prone areas. But due to the rapid changes in climate and the unpredictable trends of natural hazards, the use of new DRR incorporated GREENSL® rating system for built environment for the certification of buildings is highly endorsed.

This is the first research study based on the GREENSL rating system. And it is the first effort to incorporate DRR aspects to any rating tool in Sri Lanka. The projects that were evaluated for the validation of the new tool are the actual projects which obtained green building certification. Also, it is apparent that this study has gone some way towards enhancing the understanding of blending the sustainability and resilience in rating systems for built environment.

It is significant to assess the societal trust toward the new advancements in multi-hazard early warnings (MHEW) with the focus on disaster risk reduction (DRR). Based on this, the purpose of this paper is to examine the extent of societal trust behavior along with the parameters such as mode of communication and institutions of issuing early warnings (EWs).

A field questionnaire survey was conducted to identify the extent of societal trust. This was conducted in ten selected Grama Niladari divisions in Sri Lanka based on a developed hazard matrix. The fuzzy logic approach was applied to examine the trust level of collected 323 responses obtained through this. The analysis was done based on the responses on mobile-based platforms in EW and the credibility level of the warnings received through different institutions.

The analyzed survey responses indicated that society has a higher extent of trust toward the EWs disseminated through mobile-based platforms. Moreover, these represent a strong positive correlation among the societal trust level and the level of importance of EW dissemination through mobile-based platforms. Further, in terms of trusted stakeholders in issuing EW alerts, Disaster Management Center, Sri Lanka Police and Media ranked the highest in the Sri Lankan context. Overall, findings were visually mapped through the causal loop diagrams (CLDs).

In enhancing the effectiveness of the existing MHEW mechanism, the policy implications could be done, based on the results obtained from this research study. These could be altered with the implementation of DRR strategies with a community focus.

The fuzzy logic approach was used in the determination of the societal decision-making on the extent of trust level. Fuzzy triangulation is mainly applied in the interpretation of the results. Further, overall parameters that determine the community trust on MHEW are represented through CLDs through system dynamics application.

Even though Sri Lanka has established Early Warning (EW) mechanisms and Evacuation Procedures (EP) for the communities affected by the coastal disasters, there are several gaps, which hinder effective mechanisms in operation of disaster management practices. These gaps affect both the vulnerable communities and relevant authorities involved in the Disaster Management sector. This paper aims to identify and evaluate those gaps while providing adequate solutions.

For that, questionnaire surveys were carried out with a sample size of 217 via an online survey (117) among the urban level and interviews and telephone interviews (100) with the village level coastal communities. Data analysis was carried out using statistical analysis of questionnaire surveys and grounded theory was used for in-depth qualitative study.

Primary and secondary data obtained from the surveys were categorized under five themes, namely, response to early warning systems, evacuation routes, shelters, drills and training, effect of having a family vehicle, relatives and domestic animals, evacuation of people with special needs and cooperation with local government units. This paper analyses these themes in detail.

While critically evaluating the gaps in existing early warning mechanisms and evacuation procedures, this paper identifies correlations between some of the gaps and recommendations as well. Input from the international academics were also obtained at different forums and have strengthen the findings to overcome the barriers, which hinder successful mechanisms.

The government-led public healthcare services in Sri Lanka became a major strength in managing the COVID-19 comparatively well. However, natural hazards are a major threat to this healthcare system, as they cause severe damages, especially to curative healthcare infrastructures such as hospitals. Floods have been the major contributor to the economic loss of the Sri Lankan healthcare system. Therefore, the purpose of this study is to develop a proper flood risk assessment framework for Sri Lankan hospitals.

This research study has attempted to develop a flood vulnerability assessment tool for hospitals using the concept of Depth Damage Functions (DDFs). Flood vulnerability curves have been developed for identified critical units of hospitals considering the damage caused to building contents which are predominantly expensive medical equipment. The damage caused only by wetting was considered in generating vulnerability curves. Structured interviews were conducted with government officials in the healthcare sector to gather details on the cost and damages of medical equipment. Pilot studies were carried out in two hospitals identified as located in flood-prone areas and have previous experiences of flooding, to acquire data regarding building contents of the critical units.

The developed vulnerability curves indicate that no major damage would occur to building contents in critical units (other than the labor room) until the inundation depth reaches a value of 0.6–0.9 m (varies for each type of unit). It is also noteworthy that after a certain range in the inundation depth, the damage increases drastically, and building contents would incur total damage if the inundation depth passes a value of 1.2–1.5 m.

This study explains the initial phase of developing a flood vulnerability assessment framework for Sri Lankan hospitals. Not many studies had been carried out to assess the vulnerability of hospitals specifically for floods using vulnerability curves. The study recommends a zoning system with pre-defined vulnerability levels for critical units during a flood, which can be associated with evacuation planning as well. Further studies must be carried out to verify this system for hospitals in Sri Lanka.