scholarly journals Suitability analysis of ski areas in China: an integrated study based on natural and socioeconomic conditions

2019 ◽  
Vol 13 (8) ◽  
pp. 2149-2167 ◽  
Author(s):  
Jie Deng ◽  
Tao Che ◽  
Cunde Xiao ◽  
Shijin Wang ◽  
Liyun Dai ◽  
...  
Keyword(s):  
Sports Participation ◽  
Government Support ◽  
Future Climate Change ◽  
Market Demand ◽  
Socioeconomic Conditions ◽  
Local Data ◽  
Integrated Index ◽  
Ski Industry ◽  
Ski Area ◽  
Ski Areas

Abstract. The successful bid for the 2022 Winter Olympics (Beijing 2022, officially known as the XXIV Olympic Winter Games) has greatly stimulated Chinese enthusiasm towards winter sports participation. Consequently, the Chinese ski industry is rapidly booming due to enormous market demand and government support. However, investing in ski areas in unreasonable locations will cause problems from an economic perspective (in terms of operation and management) as well as geographical concerns (such as environmental degradation). Therefore, evaluating the suitability of a ski area based on scientific metrics has become a prerequisite for the sustainable development of the ski industry. In this study, we evaluate the locational suitability of ski areas in China by integrating their natural and socioeconomic conditions using a linearly weighted method based on geographic information system (GIS) spatial analysis combined with remote sensing, online, and field survey data. The key indexes for evaluating natural suitability include snow cover, air temperature, topographic conditions, water resources, and vegetation, whereas socioeconomic suitability is evaluated based on economic conditions, accessibility of transportation, distance to a tourist attraction, and distance to a city. As such, metrics ranging from 0 to 1 considering both natural and socioeconomic conditions are used to define a suitability threshold for each candidate region for ski area development. A ski area is considered to be a dismal prospect when the locational integrated index is less than 0.5. The results show that 84 % of existing ski areas are located in areas with an integrated index greater than 0.5. Finally, corresponding development strategies for decision-makers are proposed based on the multicriteria metrics, which will be extended to incorporate potential influences from future climate change and socioeconomic development. However, the snowmaking model with local data should to be used to further analyze the suitability for a specific ski area.

scholarly journals Suitability Analysis of Ski Areas in China: An Integrated Study Based on Natural and Socioeconomic Conditions

2019 ◽  
Author(s):  
Jie Deng ◽  
Tao Che ◽  
Cunde Xiao ◽  
Shijin Wang ◽  
Liyun Dai ◽  
...  
Keyword(s):  
Socioeconomic Development ◽  
Government Support ◽  
Future Climate Change ◽  
Market Demand ◽  
Socioeconomic Conditions ◽  
Suitability Analysis ◽  
Integrated Index ◽  
Ski Industry ◽  
Ski Area ◽  
Ski Areas

Abstract. The successful bidding of the 2022 Winter Olympics (Beijing 2022, officially known as the XXIV Olympic Winter Games) has greatly stimulated Chinese enthusiasm to participate in winter sports. Consequently, the Chinese ski industry is rapidly booming driven by enormous market demand and government support. However, investing in ski area at an unreasonable location will cause problems both from economic perspective (in terms of operation and management) as well as geographical concerns (such as environmental degradation). To evaluate the suitability of a ski area based on scientific metrics has since become a prerequisite to the sustainable development of ski industry. In this study, we evaluate the locational suitability of ski areas in China by integrating their natural and socioeconomic conditions using linear weighted method based on geographic information systems (GIS) spatial analysis combined with remote sensing, online and field survey data. Key indexes for evaluating the natural suitability include snow cover, air temperature, topographic conditions, groundwater, and vegetation, whereas socioeconomic suitability is evaluated based on economic conditions, accessibility of transportation, distance to tourist attractions, and distance to cities. As such, an integrated metrics considering both natural and socioeconomic suitability is defined to be a threshold and used to identify the suitability of a candidate region for ski area development. The results show that 92 % of existing ski areas are located in areas with an integrated index greater than 0.5. In contrary, a ski area is considered to be a dismal prospect when the locational integrated index is less than 0.5. Finally, corresponding development strategies for decision-makers are proposed based on the multi-criteria metrics, which will be extended to incorporate potential influences from future climate change and socioeconomic development.

Terrain park feature compliance with Québec ski area safety recommendations

2020 ◽  
pp. injuryprev-2019-043629
Author(s):  
Olivier Audet ◽  
Alison K Macpherson ◽  
Pierre Valois ◽  
Brent E Hagel ◽  
Benoit Tremblay ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Primary Objective ◽  
Evaluation Tool ◽  
Potential Influence ◽  
Ski Area ◽  
Ski Areas ◽  
Snow Conditions ◽  
Research Assistants ◽  
Design Construction

ObjectivesThe primary objective of this paper is to examine terrain park (TP) feature compliance with recommendations from a ski area industry guide (are TP features compliant with the guide?) and determine factors that could be associated with TP feature compliance in Québec ski areas (do factors influence TP feature compliance?), Canada. These recommendations on the design, construction and maintenance are provided by the Québec Ski Areas Association Guide.MethodsA group of two to four trained research assistants visited seven ski areas. They used an evaluation tool to assess the compliance of 59 TP features. The evaluation tool, originally developed to assess the quality of TP features based on the guide, was validated in a previous study. Compliance was calculated by the percentage of compliant measures within a given feature. The potential influence of four factors on compliance (size of the TP, size of the feature, snow conditions and type of feature) were examined using a mixed-effects logistic regression model.ResultsThe average TP feature compliance percentage was 93% (95% CI 88% to 99%) for boxes, 91% (95% CI 89% to 94%) for rails and 89% (95% CI 86% to 92%) for jumps. The logistic regression showed that none of the four factors examined were associated with TP feature compliance with the guide.ConclusionOur results suggest that TP features are highly compliant with the guide in Québec ski areas.

System Dynamics Modeling for China's EV Development Strategy

2013 ◽  
Vol 378 ◽  
pp. 483-486
Author(s):  
Yu Ning Wang ◽  
Hui Ming Zeng ◽  
Bin Qing Tang ◽  
Bin Xiang Hu
Keyword(s):  
System Dynamics ◽  
Development Strategy ◽  
Electric Vehicles ◽  
Competitive Ability ◽  
Government Support ◽  
Market Demand ◽  
Dynamics Modeling ◽  
Dynamic Factors ◽  
Policy Suggestions

Due to mandatory emission reduction and rising oil prices electric vehicles are about to be introduced in mass markets. This paper presents a system dynamics model of Chinas development strategy of electric vehicle industry. The focus of the paper is to study the influence of four major dynamic factors government policies, technology innovation, market demand and competitive ability. It gives an overall scenario of the development and highlights the major problems faced by Chinese electric vehicles industry, and how SD modeling can be used for the analysis of the industry developing policy. The model has been used to simulate the influence of these dynamic factors for 20 years, and a serious of policy tests and some useful policy suggestions were put forward. The result suggested that government support will still play a key role in a long-term.

scholarly journals Simulating the Potential Effects of Climate Change in Two Colorado Basins and at Two Colorado Ski Areas

2011 ◽  
Vol 15 (22) ◽  
pp. 1-23 ◽  
Author(s):  
William Battaglin ◽  
Lauren Hay ◽  
Markstrom Steve
Keyword(s):  
Climate Change ◽  
Large Range ◽  
Future Scenarios ◽  
Central Tendency ◽  
Snow Covered Area ◽  
Covered Area ◽  
Ski Area ◽  
Ski Areas ◽  
Yampa River ◽  
Precipitation And Temperature

Abstract The mountainous areas of Colorado are used for tourism and recreation, and they provide water storage and supply for municipalities, industries, and agriculture. Recent studies suggest that water supply and tourist industries such as skiing are at risk from climate change. In this study, a distributed-parameter watershed model, the Precipitation-Runoff Modeling System (PRMS), is used to identify the potential effects of future climate on hydrologic conditions for two Colorado basins, the East River at Almont and the Yampa River at Steamboat Springs, and at the subbasin scale for two ski areas within those basins. Climate-change input files for PRMS were generated by modifying daily PRMS precipitation and temperature inputs with mean monthly climate-change fields of precipitation and temperature derived from five general circulation model (GCM) simulations using one current and three future carbon emission scenarios. All GCM simulations of mean daily minimum and maximum air temperature for the East and Yampa River basins indicate a relatively steady increase of up to several degrees Celsius from baseline conditions by 2094. GCM simulations of precipitation in the two basins indicate little change or trend in precipitation, but there is a large range associated with these projections. PRMS projections of basin mean daily streamflow vary by scenario but indicate a central tendency toward slight decreases, with a large range associated with these projections. Decreases in water content or changes in the spatial extent of snowpack in the East and Yampa River basins are important because of potential adverse effects on water supply and recreational activities. PRMS projections of each future scenario indicate a central tendency for decreases in basin mean snow-covered area and snowpack water equivalent, with the range in the projected decreases increasing with time. However, when examined on a monthly basis, the projected decreases are most dramatic during fall and spring. Presumably, ski area locations are picked because of a tendency to receive snow and keep snowpack relative to the surrounding area. This effect of ski area location within the basin was examined by comparing projections of March snow-covered area and snowpack water equivalent for the entire basin with more local projections for the portion of the basin that represents the ski area in the PRMS models. These projections indicate a steady decrease in March snow-covered area for the basins but only small changes in March snow-covered area at both ski areas for the three future scenarios until around 2050. After 2050, larger decreases are possible, but there is a large range in the projections of future scenarios. The rates of decrease for snowpack water equivalent and precipitation that falls as snow are similar at the basin and subbasin scale in both basins. Results from this modeling effort show that there is a wide range of possible outcomes for future snowpack conditions in Colorado. The results also highlight the differences between projections for entire basins and projections for local areas or subbasins within those basins.

scholarly journals Design of a small and medium industry cluster in cilegon city with supply chain system approach

2018 ◽  
Vol 218 ◽  
pp. 04021
Author(s):  
Dyah Lintang Trenggonowati ◽  
Asep Ridwan ◽  
Zunika DwiAnggraini
Keyword(s):  
Supply Chain ◽  
System Approach ◽  
Industrial Development ◽  
Positive Impact ◽  
Raw Materials ◽  
Government Support ◽  
Market Demand ◽  
Supply Chain System ◽  
Chain System ◽  
Average Production

Future industrial development strategies, derived from current ideas, that is industrial development through a cluster approach. Cilegon city is a city with many petrochemical industries and other, it should be a potential that can give a positive impact for the welfare of Cilegon city community, the researchers want to design the cluster of the petrochemical derivative of IKM with supply chain system approach. The objective of the research is to design the development of a petrochemical derivative cluster of IKM in Cilegon, to determine the factors that influence the development of SMEs clusters, and to design improvement scenarios in the development of SMEs clusters with dynamic system simulations. Based on the results of SMEs cluster design, the stakeholders in the design are government, big companies, and business actors. Types of products to be produced are plastic packaging, plastic bottles, and plastic bags. The location of the right cluster of IKM development is located in Grogol sub-district. Raw materials used by petrochemical derivatives can be obtained from factories producing polyethylene in Grogol sub-district such as PT Lotte Chemical Titan. Factors that have the significant effect on SMEs cluster development are the factors of government support and local business power factor. The simulation result shows that the second alternative proposal is considered reliable enough to face the fluctuating market demand. From the simulation results obtained the average production of 228,513,6914 psc, the average production stock 821,742.4 and the average sales of 200,000 psc.

scholarly journals Development Strategy of Mangrove Crabs (Scylla sp.) Cultivation in Gorontalo Province

Omni-Akuatika ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 111
Author(s):  
Yuniarti Koniyo
Keyword(s):  
Development Strategy ◽  
Swot Analysis ◽  
Economic Value ◽  
Foreign Market ◽  
Government Support ◽  
Survey Method ◽  
Market Demand ◽  
Mangrove Crab ◽  
Market Opportunities ◽  
Mangrove Crabs

Mangrove crabs (Scylla sp.) are important economic fishery commodities that will be developed in Gorontalo Province. Mangrove crabs have large and prospective market opportunities in the domestic and foreign market. The mangrove crabs demand in this country is very high. Market demand for mangrove crabs has not been able to be fulfilled, because of the limited catch and the production of aquaculture which is still very minimal. The problem is how the development of mangrove crab cultivation will be applied in Gorontalo Province. The purpose of this research was to study and determine the development strategy of mangrove crab cultivation in Gorontalo Province in accordance with the potential and carrying capacity of the environment. The researched method was survey method with observational data collection and random sampling techniques. Data analysis was performed descriptively and SWOT analysis. Based on the SWOT analysis the strength (S) most influential on the development of mangrove crab culture in Gorontalo Province is government support and profitable business prospects (0.66), while the biggest weakness is the limited capital (0.54) and the low quality of human cultivation resources (0,48), and the biggest opportunity (O) is economic value (Very popular, because it is delicious and contains high nutritional value) (0.8), and threat (T) environmental degradation (0.8). Based on the quadrant of the analysis is in quadrant 1 (Growth Oriented Strategy). Keywords: Development, Strategy, Scylla spp, Cultivation, Gorontalo Province

Future climate change risk in the US Midwestern ski industry

2021 ◽  
Vol 40 ◽  
pp. 100875
Author(s):  
Daniel Scott ◽  
Robert Steiger ◽  
Michelle Rutty ◽  
Natalie Knowles ◽  
Brooklyn Rushton
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Change Risk ◽  
The Us ◽  
Ski Industry

HIERARCHICAL STRUCTURE AND CAUSAL RELATIONSHIPS OF BARRIERS TO SOCIAL DIMENSION IN SSCM VIA NOVEL DEMATEL-ISM INTEGRATED APPROACH

2021 ◽  
Vol 9 (1) ◽  
pp. 0-0
Author(s):  
Jih-Kuang Chen
Keyword(s):  
Hierarchical Structure ◽  
Integrated Approach ◽  
Economic Benefits ◽  
Government Support ◽  
Social Dimension ◽  
Causal Relationships ◽  
Market Demand ◽  
Bottom Line ◽  
Interpretive Structural Modeling ◽  
Integrated Method

Abstract: Sustainable Supply Chain Management (SSCM) encompasses a Triple Bottom Line (TBL) consisting of : a) economic benefits, b)environmental protection, and c) social responsibility. Previous studies have focused solely on profitability or environmental dimensions while generally neglecting the social dimension. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) techniques can identify causal relationships and hierarchical structure among factors, two techniques are commonly used separately or also may be integrated per their common characteristics with a relatively small computational burden. However, conventional DEMATEL-ISM integrated method has notable drawbacks and may not provide accurate analysis results. The purpose of the present study is to suggest the novel DEMATEL-ISM integrated approach to improve the shortage of conventional DEMATEL-ISM integrated method as well as investigate the hierarchical structure and causal relationship of social dimension barriers for SSCM implementation. A series of 13 barriers to SSCM social dimension implementation were identified and placed into a five-layer hierarchical structure. The most important barriers were found in addition to lack of government support and low market demand for sustainable products, and causal relationships among barriers were also identified for the Guangdong-Hong Kong-Macao Greater Bay Area of China. Key words: SSCM social dimension; DEMATEL-ISM integrated; Hierarchical structure and causal relationships

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