Tourism, Water Pollution, and Waterway Landscape Changes in a Traditional Village in the Huizhou Region, China

Cultural landscapes in climate change: A framework for resilience in developing countries

Cultural landscapes, particularly cities with rich historical and cultural heritage, play a crucial role in bolstering the resilience of local communities. The occurrence of climate change-induced phenomena jeopardizes cultural landscapes, resulting in the deterioration of historical structures, natural landscapes, cultural heritage, the economy, and the livelihoods of residents in these areas. Therefore, adopting a resilient approach is essential for the integrated management of cultural landscapes. This study develops a model for enhancing cultural landscape resilience to climate change in Nishapur, a historical and cultural city in Iran. Through desk studies, factors affecting the resilience of cultural landscapes to climate change were extracted in the context of developing countries. Subsequently, a model was developed based on the frequency of the occurrence of dimensions and indicators. Snowball sampling was used to distribute questionnaires to 310 members of the academic and professional communities in the field. Next, confirmatory factor analysis (CFA) was conducted using IBM SEM-AMOS to analyze the data and measure the reliability and validity of the model. The findings indicate that the driving factors of change, such as changes in livelihood and social issues, historical fabric and physical environment, natural hazards, biodiversity patterns, and management patterns, can significantly affect the resilience of cultural landscapes to climate change. The developed model can contribute to policymaking in various fields, including urban design and planning, economics, sociology, and cultural heritage conservation. This can play a vital role in creating cultural landscapes that are resilient to the increasing impacts of climate change.

Landscape change trends and their impacts on coastal tourism resources in the future: a case study from pak Phanang, Thailand

This study aims to investigate the impacts of landscape change on natural tourism resources in coastal areas of Pak Phanang and to estimate future landscape changes. Data on tourism resources, land covers and coastline modification were collected on a random basis and combined with in-depth interviews of key informants. Data analysis seeking to demonstrate future coastline modification and projections interpreted satellite imagery using the hybrid approach to generate periodic coastal maps and the Dinamica EGO program to analyze future change rates of the coastline and landscape change. The results found that during 2021-2036, the areas of rice/vegetable farms, mudflats, beaches,and beach forests are likely to increase. The impacts on tourism resources can be negative or positive. The negative impacts arising from such changes include the decrease in the number of beaches in the southeast area and the increase in mudflats in Pak Phanang. The positive impacts include the beaches and beach forests in the northeast area increasing. These results can equip governments, communities and tourists with knowledge on the changes in landscape and tourism areas to prepare and adjust for such changes in the future.

Genius Loci of Ancient Village from the Perspective of Tourists Experience: Scale Development and Validation

As the spiritual homeland marker of modern urbanites, ancient villages have grown into popular tourist attractions. However, the existing literature lacks a conceptually valid and psychometrically sound scale to measure the existential value of ancient villages that meet the material and spiritual needs of tourists. Guided by the concept of genius loci in architectural phenomenology, this study developed and validated a scale to measure the genius loci of ancient villages from the perspective of tourists experience in the Chinese context. Following multistage scale development and validation procedures, tourists in two World Cultural Heritage ancient villages were sampled in two stages (Study 1, n = 214; Study 2, n = 228) to establish the psychometric properties of a genius loci scale. A three-dimensional (earthbound atmosphere, architectural culture, and spiritual homeland) genius loci measurement with 10 items was identified, and the scale showed good reliability and validity. This study extends the current ancient village tourism literature and provides a measurement tool for further investigation by academics and tourism professionals.