scholarly journals The Haicheng, China, earthquake of 4 February, 1975

1976 ◽  
Vol 9 (1) ◽  
pp. 32-42
Author(s):  
R. D. Adams
Keyword(s):  
Northeast China ◽  
Prediction Methods ◽  
Civil Protection ◽  
Short Term ◽  
Affected Area ◽  
Successful Prediction ◽  
The World ◽  
China Earthquake ◽  
Short Term Prediction ◽  
The Town

The earthquake of magnitude 7.3 that occurred near the town of Haicheng in northeast China on 4 February, 1975 was the first major earthquake anywhere in the world known to have been predicted with enough certainty for people to have been warned, and measures taken for civil protection. These steps were successful in keeping the number of casualties small. This paper describes a visit to the affected area seven and a half months after the earthquake, and discussions with Chinese scientists about their successful prediction methods. The prediction resulted from the synthesis of many types of investigation, but the main methods used for long-, mid-, and short- term prediction appear to have been based on studies of seismicity, deformation, and foreshocks respectively.

scholarly journals The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 884 ◽  
Author(s):  
César Hernández-Hernández ◽  
Francisco Rodríguez ◽  
José Moreno ◽  
Paulo da Costa Mendes ◽  
Julio Normey-Rico ◽  
...  
Keyword(s):  
Energy Management ◽  
Prediction Methods ◽  
Comparison Study ◽  
Short Term ◽  
Model Predictive Controller ◽  
Term Prediction ◽  
Predictive Controller ◽  
Short Term Prediction ◽  
Microgrid Energy Management

Development of a Technique for Short-Term Prediction of Hydrometeors Using Advection and Physical Forcing.

1983 ◽  
Author(s):  
Gregory S. Forbes ◽  
John J. Cahir ◽  
Paul B. Dorian ◽  
Walter D. Lottes ◽  
Kathy Chapman
Keyword(s):  
Short Term ◽  
Physical Forcing ◽  
Term Prediction ◽  
Short Term Prediction

The Long-term Use of Short-term Debt around the World

2019 ◽  
Author(s):  
Lifang Chen ◽  
Yong Li ◽  
Yizhong Wang ◽  
Bohui Zhang
Keyword(s):  
Short Term ◽  
The World

Comprehensive Effects of Short-Term Rental Platforms Across Hotel Types in U.S. and International Destinations

2021 ◽  
pp. 193896552110335
Author(s):  
John W. O’Neill ◽  
Jihwan Yeon
Keyword(s):  
Service Providers ◽  
Comprehensive Analysis ◽  
Competitive Market ◽  
Substitution Effects ◽  
Short Term ◽  
Hotel Performance ◽  
The World ◽  
Different Types ◽  
Location Type ◽  
The Impact

In recent years, short-term rental platforms in the lodging sector, including Airbnb, VRBO, and HomeAway, have received extensive attention and emerged as potentially alternative suppliers of services traditionally provided by established commercial accommodation providers, that is, hotels. Short-term rentals have dramatically increased the available supply of rooms for visitors to multiple international destinations, potentially siphoning demand away from hotels to short-term rental businesses. In a competitive market, an increase in supply with constant demand would negatively influence incumbent service providers. In this article, we examine the substitution effects of short-term rental supply on hotel performance in different cities around the world. Specifically, we comprehensively investigate the substitution effects of short-term rental supply on hotel performance based on hotel class, location type, and region. Furthermore, we segment the short-term rental supply based on its types of accommodations, that is, shared rooms, private rooms, and entire homes, and both examine and quantify the differential effects of these types of short-term rentals on different types of hotels. This study offers a comprehensive analysis regarding the impact of multiple short-term rental platforms on hotel performance and offers both conceptual and practical insights regarding the nature and extent of the effects that were identified.

Sign in / Sign up

Export Citation Format

Share Document