An Investigation into the Temporal and Spatial Impacts of Pohang Earthquake on Housing Sales Price in Korea : Application of Difference-in-Difference and Multilevel Model for Actual Transaction Price of Apartment Housing

2021 ◽  
Vol 56 (3) ◽  
pp. 130-141
Author(s):  
Gwang-Mun Shin ◽  
Sam-Su Lee ◽  
Jae-Su Lee
Keyword(s):  
Multilevel Model ◽  
Difference In Difference ◽  
Sales Price ◽  
Temporal And Spatial ◽  
Spatial Impacts ◽  
Transaction Price

Impacts of river flooding on urban agglomerations: a climate-impact analysis and the role of strategic planning for the Ruhr, Germany

2020 ◽  
Vol ahead-of-print (0) ◽  
pp. 1-21
Author(s):  
Madeleine Kirstein ◽  
Mathias Schaefer ◽  
Tanja Schnittfinke ◽  
Stefan Greiving ◽  
Rouven Küsters
Keyword(s):  
Impact Analysis ◽  
Climate Impact ◽  
River Flooding ◽  
Regional Association ◽  
Mixed Use ◽  
Planning Strategies ◽  
Temporal And Spatial ◽  
Spatial Impacts ◽  
Modelling Approach

In order to reveal the present and future flooding impacts on residential and mixed-use areas, a parallel modelling approach (PMA) was carried out. With the use of geo-information systems (GIS), temporal and spatial impacts can be quantified and visualised, while the results of the proposed method justify adequate regional planning strategies for the Ruhr, Germany. As an information system which is regularly updated within a cooperation process between the municipalities concerned, the so called ruhrFISְ of the Ruhr Regional Association (RVR) seems to be a promising approach to improve the evidence basis for adaptation actions.

Time for Reset? Covid-19 and Tourism Resilience

2020 ◽  
Vol 24 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Girish Prayag
Keyword(s):  
Research Agenda ◽  
Tourism Industry ◽  
Future Research ◽  
System Perspective ◽  
Global Pandemic ◽  
Managerial Implications ◽  
System Resilience ◽  
Temporal And Spatial ◽  
Spatial Impacts

As a rapidly evolving global pandemic, COVID-19 provides several opportunities for tourism researchers to study the resilience of the tourism industry from a socioecological system perspective. Pandemics are not new and, similar to other crises and disasters, can have lasting impacts on individuals, businesses, communities, and nations. This article offers ways to explore how COVID-19 could affect different aspects of tourism resilience, adopting a three-level approach (macro, meso, and micro). While recognizing that these three levels are not necessarily mutually exclusive, interactions between them can be a worthy area of research in itself. This article proposes a research agenda on COVID-19 and tourism system resilience and contributes to further understanding of scale of change (temporal and spatial), impacts, and resilience. The article identifies, for example, resilience of destinations, organizations, and tourists as important areas of future research in relation to the pandemic. However, theoretical advancements and managerial implications of such research should not be sacrificed at the expense of the opportunities that the context of COVID-19 presents. It is time for reset not only for the tourism industry but also for tourism researchers.

scholarly journals Temporal and Spatial Impacts of Land Transfer on PM2.5 Concentration in 285 Cities of China

2021 ◽  
Author(s):  
Ling Feng Song ◽  
Yan Fei Feng
Keyword(s):  
Fine Particulate Matter ◽  
Constant Term ◽  
Land Transfer ◽  
Particulate Matter Concentration ◽  
Fine Particulate ◽  
Temporal And Spatial ◽  
High Degree ◽  
Spatial Impacts ◽  
Matter Concentration ◽  
Pm2.5 Concentration

The threat of fine particulate matter concentration (PM2.5) is increasing globally, Tackling this issue requires an accurate understanding of its trends and drivers. The article investigates the PM2.5 characteristics of 285 prefecture-level cities in China from 2000-2018 based on multiscale geographically weighted regression(MGWR), and the results show that（1）previous studies based on classical MGWR models may be somewhat unstable, while MGWR can reflect the scale of influence of different variables on the dependent variable, and its regression results are more reliable.（2）PM2.5 is very sensitive to carbon emission(CE) factors, and there is a high degree of spatial heterogeneity, and the influence scale of location is the smallest among all variables, close to the municipal scale.（3）In 2000, the constant term all, IS, OFT, CE, and LT positively affect PM2.5, while GDP (jurisdiction) and UR negatively affect PM2.5; in 2010, the constant term all, GDP (jurisdiction), IS, OFT and LT positively affect PM2.5, while UR and CE negatively affect PM2.5; in 2018 the constant term all, IS, OFT and CE factors positively affect PM2.5, and GDP (jurisdiction), UR and LT negatively affect PM2.5.

scholarly journals Dynamic Sales Price Control Model for Exclusive Exquisite Products within a Time Interval

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1717
Author(s):  
Po-Yu Chen
Keyword(s):  
Information Diffusion ◽  
Demand Function ◽  
Control Model ◽  
Price Control ◽  
Market Demand ◽  
Price Information ◽  
Sales Price ◽  
Transaction Prices ◽  
Transaction Price ◽  
Time Point

When information regarding the effective evaluation of the value of exquisite products is lacking, the market demand function for such products at a given time point is affected by the diffusion of historical transaction price information before the time point. This is because historical transaction prices play an active role in influencing the internal reference price (IRP) of customers, and the continuous diffusion of historical transaction price information leads to the continuous correction, adjustment, and updating of customers’ IRPs. Given the varying rates of such information diffusion, the speed at which customers adjust their IRPs also varies across individuals and contexts. By considering the exponential distribution of potential customers’ IRPs as an example to establish the dynamic demand function that considers the effect of historical transaction prices, this paper discusses the effect of different information diffusion rates on the demand function at a time point. On the basis of this demand function, a sales price control model that maximizes the discounted profitability for businesses in the patent term of an exquisite product is then constructed to provide businesses with an operation method to cultivate prices and increase profits.

Sign in / Sign up

Export Citation Format

Share Document