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A wetland is a place of tourist attraction, and tourism values play a key role in economic development. Among various services provided by a wetland, recreational services are increasingly valuable in the tourism sector. This paper aims to unfold the potential recreational values of the Dal Lake in Jammu and Kashmir, India.

The study uses individual travel cost methods (TCMs) and assesses its impact on regional development in terms of income and employment generation. A sample of 200 tourists is selected through an on-site survey on Dal Lake, and the demand for recreational visits and its value is estimated by employing the truncated Poisson regression model (TPRM) and un-truncated Poisson regression model (UTPRM). The consumers' surplus is estimated and tourists' benefit to visiting the wetland is explored.

On average, estimated consumers' surplus per visitor is Rs 6,250 (US$96.15) and Rs 25,000 (US$384.61) from respective models. The annual total recreational value of the lake is accounted for Rs 1713m (US$ 26m). This high consumer surplus (CS) and recreational values of the lake indicate large demand for its recreational facilities.

The study is based on primary data and thus, is original. The paper has implications for the policymakers to formulate sustainable management plans for the proper use of Dal Lake and tourism development.

This research analyses the simultaneous relationship between perceived risks, destination image and destination loyalty as well as the mediating role of two components of destination image (cognitive and affective) in the relationship between perceived risks and destination loyalty.

The current study used a convenience sampling method for collecting data from 413 respondents using a self-administered questionnaire. Furthermore, the two-step approach for structural equation modelling (SEM) was used to assess the model's psychometric properties and test the proposed structural model.

The results revealed that only socio-psychological and political risks negatively affected destination loyalty. In contrast, performance risk, physical risk and financial risk did not show a significant direct effect on tourists' destination loyalty. Each type of perceived risk significantly contributed to cognitive and affective image formation. However, the financial risk did not significantly affect the affective image. Moreover, the affective component of the image was found to have a higher impact on establishing destination loyalty than the cognitive component of the image. Finally, cognitive and affective facets of the image were found to act as significant mediators between perceived risks and destination loyalty.

The study provides a better understanding of how perceived risks and destination image, if properly managed, exert a better influence on destination loyalty. Moreover, the affective dimension of destination image must be actively used to position Kashmir in the domestic tourism market and connect with individuals, especially those who have negative feelings regarding risky destinations.

This is likely to be the first study to investigate the relationships between various dimensions of perceived risk, destination image and destination loyalty in the context of a volatile destination, i.e. Kashmir Valley (India). Furthermore, the role of two facets of destination image (cognitive and affective) in mediating the relationship between perceived risks and destination loyalty extends and contributes to the theoretical foundation for the destination perception concept.

The objective of this study is to investigate the concept of “earthquake resistance” in high-rise buildings and assess the current level of structural strength in the areas where these structures are situated. The study aims to identify and implement necessary measures to enhance resilience in these areas. A comprehensive literature review was conducted to develop a conceptual framework focusing on earthquake resistance's meanings, stages and physical elements to achieve these goals.

This study focuses on Istanbul, a city known for its high earthquake risk, specifically targeting the Atasehir district. The research utilizes the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method to evaluate urban resilience parameters. Additionally, the Fuzzy TOPSIS (Preference Ranking Technique by Similarity) method is employed to analyze the location of five buildings in Atasehir, using criterion weights derived from this methodology.

The findings indicate that resilience varies depending on the distance of the buffers. Moreover, the amount and quality of urban equipment in the study areas have a significant impact on the earthquake resistance level of the surrounding areas where high-rise buildings are situated. Building upon this analysis, the study suggests the implementation of measures aimed at augmenting the quantity and quality of urban facilities in the study areas, consequently enhancing urban resilience.

The originality and value of this study lie in its examination of seismic resilience within the context of high-rise buildings and the identification of necessary measures to increase resilience in areas where these structures are prevalent. By focusing on Istanbul, a city with a high earthquake risk, and specifically selecting the Atasehir district as the study area, this research provides a comprehensive conceptual framework for understanding urban resilience and its physical components. Moreover, the study offers a fresh perspective on urban resilience by highlighting the influence of tall buildings on the surrounding areas. Ultimately, it provides practical recommendations for architects, urban planners and other stakeholders to improve regional earthquake resilience.

In an era overshadowed by the alarming consequences of climate change and the escalating peril of recurring floods for communities worldwide, the significance of proficient disaster risk management has reached unprecedented levels. The successful implementation of disaster risk management necessitates the ability to make informed decisions. To this end, the utilization of three-dimensional (3D) visualization and Web-based rendering offers decision-makers the opportunity to engage with interactive data representations. This study aims to focus on Thiruvananthapuram, India, where the analysis of flooding caused by the Karamana River aims to furnish valuable insights for facilitating well-informed decision-making in the realm of disaster management.

This work introduces a systematic procedure for evaluating the influence of flooding on 3D building models through the utilization of Web-based visualization and rendering techniques. To ensure precision, aerial light detection and ranging (LiDAR) data is used to generate accurate 3D building models in CityGML format, adhering to the standards set by the Open Geospatial Consortium. By using one-meter digital elevation models derived from LiDAR data, flood simulations are conducted to analyze flow patterns at different discharge levels. The integration of 3D building maps with geographic information system (GIS)-based vector maps and a flood risk map enables the assessment of the extent of inundation. To facilitate visualization and querying tasks, a Web-based graphical user interface (GUI) is developed.

The efficiency of comprehensive 3D building maps in evaluating flood consequences in Thiruvananthapuram has been established by the research. By merging with GIS-based vector maps and a flood risk map, it becomes possible to scrutinize the extent of inundation and the affected structures. Furthermore, the Web-based GUI facilitates interactive data exploration, visualization and querying, thereby assisting in decision-making.

The study introduces an innovative approach that merges LiDAR data, 3D building mapping, flood simulation and Web-based visualization, which can be advantageous for decision-makers in disaster risk management and may have practical use in various regions and urban areas.

Flood preparedness and response from the perspective of community engagement mechanisms have been studied in scholarly articles. However, the differences in flood mitigation may expose social and behavioural challenges to learn from. This study aimed to demonstrate how text mining can be applied in prioritising existing contexts in community-based and government flood mitigation and management strategies.

This investigation mined the semantics researchers ascribed to flood disasters and community responses from 2001 to 2022 peer-reviewed publications. Text mining was used to derive frequently used terms from over 15 publications in the Scopus database and Google Scholar search engine after an initial output of 268 peer-reviewed publications. The text-mining process applied the topic modelling analyses on the 15 publications using the R studio application.

Topic modelling applied through text mining clustered four (4) themes. The themes that emerged from the topic modelling process were building adaptation to flooding, climate change and resilient communities, urban infrastructure and community preparedness and research output for flood risk and community response. The themes were supported with geographical flood risk and community mitigation contexts from the USA, India and Nigeria to provide a broader perspective.

This study exposed the deficiency of “communication, teamwork, responsibility and lessons” as focal themes of flood disaster management and response research. The divergence in flood mitigation in developing nations as compared with developed nations can be bridged through improved government policies, technologies and community engagement.

Planning for Jaipur City in Rajasthan, north-western India, which was added to the World Heritage List in 2019, considers the surrounding hills and water systems. Rapid urbanisation is currently placing strain on the area, and natural resources and city green spaces are deteriorating. A multidisciplinary team of academicians, researchers and practitioners was assembled under the Heritage Place Lab (HPL) initiative with the aim of developing a research agenda to complement the city's Special Area Heritage Plan (SAHP) that is currently in development.

Given the complicated urban structure of Jaipur, an interdisciplinary approach involving experts from various fields and engagement from all levels of the city's stakeholders was necessary. The partnership proceeded following the parameters provided under the HPL to jointly build a research agenda focussing on the management challenges of the World Heritage Site.

The co-produced research programme narrowed its initial emphasis on documenting of the natural heritage of the city to reflect the functions it served in a social setting. It was also revealed that the conflicting nature of activities within the World Heritage Site is caused by overlapping jurisdictions of several administrative and legislative components.

Jaipur, examined here by an interdisciplinary Research-Practice Team, provides a valuable and unique case study for heritage management, particularly given that most historic cities in India are facing comparable concerns surrounding urbanisation with rising pressures on natural resources.

The purpose of this study is to summarize the available pool of literature on service quality to identify different dimensions of service quality in the healthcare industry and understand how it is measured. The study attempts to explore the research gaps in the literature about different service quality dimensions and patient satisfaction.

A systematic literature review process was followed to achieve the objectives of the study. Various inclusion and exclusion criteria were used to select relevant research articles from 2000–2020 for the study, and a total of 100 research articles were selected.

The study identified 41 different dimensions of healthcare service quality measurement and classified these dimensions into four categories, namely servicescape, personnel, hospital administration and patients. It can be concluded that SERVQUAL is the most widely used service quality measurement tool.

The study identified that a majority of the researchers deduced a positive relationship between SERVQUAL dimensions and the quality of healthcare services. The findings of study will assist hospital executives in formulating effective strategies to ensure that patients receive superior quality healthcare services.

This paper aims to analyse the influence of perceived value (PV), sensation seeking (SS) and low crowding (LC) on the satisfaction and behavioural intention (BI) of Indian pilgrim tourists to Kartarpur Corridor, Pakistan. In addition, it identifies the mediation effect of satisfaction in the structural relationship between PV, SS and LC as exogenous variables and BI as an endogenous variable.

By using convenience sampling, out of 510 questionnaires distributed among the Indian pilgrim tourists returning from Kartarpur Sahib, Pakistan, a total of 404 completely filled surveys were used to evaluate the robustness of the theoretical framework. Data analysis and empirical testing of the suggested model are conducted using descriptive statistics, confirmatory factor analysis and structural equation modelling.

The results reveal that PV, SS and LC positively affect the satisfaction of tourists crossing an international boundary, while satisfaction is the positive and significant antecedent of BI. Moreover, the indirect effects of PV, SS and LC on BI via satisfaction are found to be significant.

The previous literature has not paid much attention to the satisfaction and BI of tourists crossing an international border. The present article contributes to the existing volume of knowledge related to the satisfaction and BI of cross-border tourists. The study results may be useful for tourism marketers to better understand the factors that affect the satisfaction and BI of cross-border tourists.

(PV)、寻求感觉 (SS) 和低拥挤度 (LC) 对前往巴基斯坦 Kartarpur 走廊的印度朝圣游客的满意度和行为意向 (BI) 的影响。此外, 它确定了满意度在 PV、SS 和 LC 之间的结构关系中的中介作用作为外生变量, BI 作为内生变量。

通过便利抽样, 在从巴基斯坦 Kartarpur Sahib 返回的印度朝圣游客中分发的 510 份问卷中, 共有 404 份完全填写的调查被用来评估理论框架的稳健性。使用描述性统计、验证性因素分析 (CFA) 和结构方程模型 (SEM) 对建议模型进行数据分析和实证检验。

结果表明, 感知价值、寻求感觉和低拥挤度对跨越国际边界的游客的满意度有积极影响, 而满意度是行为意图的积极和重要的先决条件。此外, 感知价值、感觉寻求和低拥挤度通过满意度对行为意图的间接影响被发现是显着的。

以前的文献并没有太多关注游客穿越国际边界的满意度和行为意图。本文有助于增加与跨境游客的满意度和行为意图相关的现有知识量。研究结果可能有助于旅游营销人员更好地了解影响跨境游客满意度和行为意向的因素。

El objetivo de este artículo es analizar la influencia del valor percibido (VP), la búsqueda de sensaciones (SS) y el bajo nivel de aglomeración percibido (BA) en la satisfacción y la intención de comportamiento (IC) de los turistas peregrinos indios en Kartarpur, Pakistán. Adicionalmente, identifica el efecto mediador de la satisfacción en la relación estructural entre VP, SS y BA, como variables exógenas, e IC, como variable endógena.

Mediante un muestreo de conveniencia, de los 510 cuestionarios distribuidos entre los turistas peregrinos indios que regresaban de Kartarpur Sahib, Pakistán, se utilizaron un total de 404 cuestionarios, completamente cumplimentados, para evaluar la solidez del marco teórico. El análisis de datos y la evaluación empírica del modelo propuesto se realizan mediante estadística descriptiva, análisis factorial confirmatorio (AFC) y modelos de ecuaciones estructurales (MEE).

Los resultados revelan que el valor percibido, la búsqueda de sensaciones y el bajo nivel de aglomeración afectan positivamente a la satisfacción de los turistas transfronterizos, mientras que la satisfacción es el antecedente positivo y significativo de la intención de comportamiento. Además, son significativos los efectos indirectos del valor percibido, la búsqueda de sensaciones y el bajo nivel de aglomeración sobre la intención de comportamiento, a través de la satisfacción.

La literatura no ha prestado mucha atención a la satisfacción y la intención de comportamiento de los turistas peregrinos que cruzan una frontera internacional. El presente artículo contribuye al conocimiento existente relacionado con la satisfacción y la intención de comportamiento de los turistas transfronterizos. Los resultados del estudio pueden ser útiles para que los especialistas en marketing turístico internacional comprendan mejor los factores que afectan a la satisfacción y la intención de comportamiento de los turistas transfronterizos.

The current study is aimed at identifying the prominent influencers that affect the response behaviour of patients in a hospital environment.

The research is based on the data collected through the participant observation method while interviewing patients about the quality of healthcare services in nine community health centres of the Kashmir division. Thematic analysis was performed on the information collected from patients admitted to various hospital sections.

The analysis of the qualitative data revealed that the presence of hospital staff near respondents, perceived risk of maltreatment, social desirability, the sensitivity of the topic, risk of information sharing and attitude towards surveys are the most frequently observed factors that modulate the patient's tendency to truthfully report critical facts about the problem understudy.

These results can help researchers to exercise caution while communicating with respondents and collecting data related to serious issues in a natural setting.