Analysis and simulation of the spatiotemporal evolution pattern of tourism lands at the Natural World Heritage Site Jiuzhaigou, China

Liu, Jun; Wang, Juan; Wang, Shenghong; Wang, Jingfan; Deng, Guiping

doi:10.1016/j.habitatint.2018.07.005

Cited by 37 publications

(27 citation statements)

References 32 publications

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“…The above results can be used to analyze the spatial pattern and evolution of CHC for coastal ports in China and help understand and plan the cargo transportation routes and mechanisms of coastal ports in China. Choosing a right time interval helps to better observe the spatial-temporal change [49,50], thus we investigated the spatial pattern and evolution of CHC for Coastal Ports at five-year intervals. Figure 10 shows the spatial distribution of CHC for 28 large coastal ports in China in 2001, 2005, 2010, and 2015.…”

Section: Spatial Pattern and Evolution Of Chc For Coastal Ports In Chmentioning

confidence: 99%

Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

Liu

Wei

et al. 2019

Remote Sensing

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The cargo handling capacity of a port is the most basic and important indicator of port size. Based on the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime light data and panel model, this study attempts to estimate the cargo handling capacity of 28 coastal ports in China using satellite remote sensing. The study confirmed that there is a very close correlation between DMSP-OLS nighttime light data and the cargo handling capacity of the ports. Based on this correlation, the panel data model was established for remote sensing-based estimation of cargo handling capacity at the port and port group scales. The test results confirm that the nighttime light data can be used to accurately estimate the cargo handling capacity of Chinese ports, especially for the Yangtze River Delta Port Group, Pearl River Delta Port Group, Southeast Coastal Port Group, and Southwest Coastal Port Group that possess huge cargo handling capacities. The high accuracy of the model reveals that the remote sensing analysis method can make up for the lack of statistical data to a certain extent, which helps to scientifically analyze the spatiotemporal dynamic changes of coastal ports, provides a strong basis for decision-making regarding port development, and more importantly provides a convenient estimation method for areas that have long lacked statistical data on cargo handling capacity.

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Section: Spatial Pattern and Evolution Of Chc For Coastal Ports In Chmentioning

confidence: 99%

Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

Liu

Wei

et al. 2019

Remote Sensing

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“…Many studies show that the development of tourism could promote the rapid socio-economic development of natural heritage sites and the effective protection of heritage resources [30,31]. However, many heritage tourism sites are facing natural threats such as climate change, fragile ecosystems, and the pressure of resources and environment brought by the rapid development of the tourism industry [15,[32][33][34], the reduction of biodiversity and ecological safety index [35,36], prominent impaired universal values [37,38], over-commercialization [39], serious waste [40], impaired quality of heritage landscape resources [41,42] and a slew of other issues. Some of the World Heritage Sites have been given a yellow card warning by the UNESCO World Heritage Committee because of some of the issues mentioned above [43].How to correctly understand and reasonably cope with the various ecological threats and environmental pollution in the development of heritage tourism has become an important research topic for the sustainable development of World Heritage Sites [42,[44][45][46].…”

mentioning

confidence: 99%

“…Some of the World Heritage Sites have been given a yellow card warning by the UNESCO World Heritage Committee because of some of the issues mentioned above [43].How to correctly understand and reasonably cope with the various ecological threats and environmental pollution in the development of heritage tourism has become an important research topic for the sustainable development of World Heritage Sites [42,[44][45][46]. Many scholars have performed quantitative research on the sustainable development of heritage tourism sites from the aspects of resources [33], energy [16,47], environment [48,49], and ecology [50]. However, to our knowledge, only a few scholars have paid attention to the energy consumption and carbon emissions of tourism at heritage tourism sites [3,16,20,50].…”

mentioning

confidence: 99%

“…Therefore, this paper attempts to fill this gap by calculating carbon emissions from different types of tourist attractions and tourist activities at heritage tourist sites using the "bottom-up" method.Functional zoning is an important way for the scientific protection of resources and the environment and the rational development of the social economy at the World Heritage Sites. Many scholars have studied the spatial division of heritage sites [33,56,57]. There may be an interactive relationship between the functional zoning of heritage sites and tourist activities.…”

mentioning

confidence: 99%

“…At present, there are few findings related to the protection of heritage sites and their sustainable development of tourism. Some scholars have performed research on the spatial-temporal evolution pattern of tourism lands at the Natural World Heritage Site [33], the relationship between heritage, recreational quality and geomorphological vulnerability in the coastal…”

mentioning

confidence: 99%

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Temporal and Spatial Evolution of Carbon Emissions and Their Influencing Factors for Tourist Attractions at Heritage Tourist Destinations

Chengcai

Wan

et al. 2019

Sustainability

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Carbon emissions play an important role in sustainable tourism development at heritage sites. The study takes the Wulingyuan Scenic and Historic Interest Area (WSHIA) as an example, and primary and secondary data sources are used to measure and estimate the carbon emissions of tourist attractions from 1979 to 2014. The temporal and spatial evolution of carbon emissions and their influencing factors for tourist attractions at heritage tourist destinations are analyzed. The results show that there are great differences in carbon emissions per visitor across the different types of tourism attractions at the heritage tourist destination, and there are significant monthly and interannual differences in the carbon emissions of the tourism attractions in the WSHIA. The main influencing factors include tourism seasonality, the rapid growth of China's tourism market, and the rising popularity of heritage tourism. The spatial evolution of carbon emissions of the tourist attractions can be divided into three stages, and its main influencing factors include functional zoning and environmental regulation at the heritage sites and diversified evolution of the heritage tourist attractions. The findings of this study could enrich theories of low-carbon tourism and provide the low-carbon development measures of sustainable tourism in heritage tourist destinations for policymakers.activities [25][26][27][28] and others. Previous findings on energy and CO 2 emissions in the tourism industry mainly focus on three sectors: transportation, accommodation, and activities [17,18]. Many studies have indicated that transportation and accommodation account for a large portion of the energy consumption and CO 2 emissions in the tourism industry [1,9]. There are few studies on energy consumption and carbon emissions of tourist attractions and activities when compared to tourism transportation and accommodation. Tourist attractions and activities, considered as a sub-sector in the conceptual framework for tourism satellite accounts (TSA) of the WTO (1999), constitute the core of the tourism product [17]. A study shows that the proportion of carbon emissions of tourist attractions and activities from the whole tourism industry is 22.46% at the destination in 2015 [15]. It can be concluded that carbon emissions from tourist attractions and activities are very important and the corresponding data is lacking in the study of sustainable tourism, so this paper tries to fill this gap through calculating and analyzing carbon emissions of tourist attractions and activities.World Heritage Sites are the most important tourist attractions in the world. According to the statistics of the United Nations Educational Science and Cultural Organization (UNESCO), the World Heritage List consists of 1121 World Heritage Sites, including 869 cultural sites, 213 natural sites, and 39 mixed sites as of July 2019. While the basic objective of UNESCO in the designation of the World Heritage Sites is to promote their protection and preservation, some destinations are pr...

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Evaluation for landscape aesthetic value of the Natural World Heritage Site

Yang

2019

Environ Monit Assess

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Analysis and simulation of the spatiotemporal evolution pattern of tourism lands at the Natural World Heritage Site Jiuzhaigou, China

Cited by 37 publications

References 32 publications

Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

Temporal and Spatial Evolution of Carbon Emissions and Their Influencing Factors for Tourist Attractions at Heritage Tourist Destinations

Evaluation for landscape aesthetic value of the Natural World Heritage Site

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