Resources
Displaying 1446 - 1450 of 2258Land Use Impacts on Particulate Matter Levels in Seoul, South Korea: Comparing High and Low Seasons
Seoul, a city in South Korea, experiences high particulate matter (PM) levels well above the recommended standards suggested by the World Health Organization. As concerns about public health and everyday lives are being raised, this study investigates the effects of land use on PM levels in Seoul. Specifically, it attempts to identify which land use types increase or decrease PM10 and PM2.5 levels and compare the effects between high and low seasons using two sets of land use classifications: one coarser and the other finer.
Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City
The high coupling coordination of urban land use benefits is a significant factor for urbanization and sustainable urban development. This study, based on the statistical data from 2002 to 2017 of Xiamen City, constructs an index system that includes social, economic, ecological, and environmental benefits by evaluating the overall coupling coordination degree of land use benefits, using the entropy weight method (EWM), the coupling coordination degree (CCD) model, and the dynamic coupling coordination degree (DCCD) model.
Land Functions, Rural Space Governance, and Farmers’ Environmental Perceptions: A Case Study from the Huanjiang Karst Mountain Area, China
Residents of rural areas live and depend on the land; hence, rural land plays a central role in the human–land relationship. The environment has the greatest direct impact on farmers’ lives and productivity. In recent years, the Chinese government carried out vigorous rural construction under a socialist framework and implemented a rural revitalization strategy. This study was performed in a rural area of Huanjiang County, Guangxi Province, China. We designed a survey to measure rural households’ perceptions of three types of rural spaces: ecological, living, and production spaces.
Revisiting the Determinants of Pro-Environmental Behaviour to Inform Land Management Policy: A Meta-Analytic Structural Equation Model Application
Environmental policies in the realm of land management are increasingly focussing on inducing behavioural change to improve environmental management outcomes. This is based, implicitly or explicitly, on theories that suggest that pro-environmental behaviour can be understood, predicted and altered based on certain factors (referred to as determinants of pro-environmental behaviour). However, studies examining the determinants of pro-environmental behaviour have found mixed evidence.
On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study
Social media continues to grow, permanently capturing our digital footprint in the form of texts, photographs, and videos, thereby reflecting our daily lives. Therefore, recent studies are increasingly recognising passively crowdsourced geotagged photographs retrieved from location-based social media as suitable data for quantitative mapping and assessment of cultural ecosystem service (CES) flow. In this study, we attempt to improve CES mapping from geotagged photographs by combining natural language processing, i.e., topic modelling and automated machine learning classification.