Investigating the determinants of homestay satisfaction on Airbnb using multiple techniques.

Peer-to-peer accommodation has gained prominence in the sharing economy and e-commerce sectors, with big data playing a crucial role in understanding customer preferences and evaluating homestay satisfaction. This study proposes a novel methodology that integrates Natural Language Processing (NLP) techniques, a Random Forest model, and Geographic Information System (GIS) functionalities to quantify the complex relationship between homestay satisfaction and diverse customer preferences. Notably, this study addresses the positive bias inherent in listing scores by segmenting homestays into three categories (satisfactory, moderate, and dissatisfactory) based on sentiment analysis from online reviews.

Measurement of economic resilience under the COVID-19 based on nighttime light remote sensing: Case of Hubei province.

This study investigates the economic resilience of cities in Hubei province during the COVID-19 pandemic, utilizing highway nighttime lights as a proxy indicator. By February 2020, the pandemic had caused a significant economic contraction in Hubei. However, by May 2021, a strong recovery was observed, with most cities experiencing growth rates of over 20%.

Monitoring Natural World Heritage Sites: optimization of the monitoring system in Bogda with GIS-based multi-criteria decision analysis.

Natural World Heritage Sites (NWHSs) are invaluable treasure due to the uniqueness of each site. Proper monitoring and management can guarantee their protection from multiple threats. In this study, geographic information system (GIS)-based multi-criteria decision analysis (GIS-MCDA) was used to assess criteria layers acquired from the data available in the literature.

Analysis on the threats and spatiotemporal distribution pattern of security in World Natural Heritage Sites.

World Natural Heritage Sites (WNHS) are treasures that need human protection and invite appreciation, which makes conservation of WNHS an urgent task. This paper assesses where in the world threats are most pressing and which WNHS require emergency assistance. Using an analysis of "hot spots" and inverse distance weighting, it finds that Africa is the region where WNHS are least secure.