Tourism Ecological Footprint Research Articles

Evaluation of the Green Development Status in Mountainous Scenic Area Based on the Tourism Ecological Footprint Model

Evaluation of the Green Development Status in Mountainous Scenic Area Based on the Tourism Ecological Footprint Model

Tracking the Drivers of the Tourism Ecological Footprint in Mount Wutai, China, Based on the STIRPAT Model

Tracking the Drivers of the Tourism Ecological Footprint in Mount Wutai, China, Based on the STIRPAT Model

Ecological footprint analysis of tourism management in rural areas

Ecological footprint analysis is one of the most useful models for the environmental impact assessment of human activities. This research aimed to estimate the environmental impacts of the tourism industry on Hosainabad village, Kurdistan Province, Iran by using the ecological footprint model. A descriptive-analytical method is used based on documentary library studies as well as field surveys. The statistical population for this study is the number of tourists who visited Hosainabad village in 2018. The findings show that the tourism ecological footprint in Hosainabad village in food, transportation, heating, water, electricity, and waste generation groups was 0.994 hectares) per capita). Comparing this amount with its surrounding spaces indicates that the tourism industry in Hosainabad relies on an area beyond this village to meet its biological needs and environmental sustainability. Findings suggest that decision-makers must pay enough attention to tourists’ activities in small areas in order to prevent further environmental disruption.

Artificial Intelligence-Based Sustainable Development of Smart Heritage Tourism

World heritage is a kind of affirmation and high honor given by the international community to the important civilization, historical relics, or natural landscape of a country and nation. This paper studies and analyzes the sustainable development of heritage tourism boosted by smart tourism based on big data artificial intelligence. This paper first analyzes big data and then introduces the concept of smart tourism. Smart tourism is a new future-oriented tourism form that serves the public, enterprises, and governments. It uses the Internet of Things, cloud computing, next-generation communication network, high-performance information processing, intelligent data mining, and other technologies in tourism experience, industrial development, administrative management, and other applications, so that tourism physical resources and information resources have been highly systematically integrated and deeply developed and activated. And then, we analyze and discuss artificial intelligence algorithms. Artificial intelligence is a new technological science that is researched and developed on the basis of computer science as a simulation and extension of human intelligence activities. Finally, a comprehensive analysis is made on the tourism ecological footprint of natural heritage sites and the carrying capacity of tourism ecology in natural heritage sites. The experimental results of this paper show that the tourism development of this natural heritage site is in a sustainable state. The reasons are as follows: First, the average tourist ecological footprint of the place is 0.009466 hm2, the average tourism ecological carrying capacity is 0.032861 hm2, and there is an average ecological surplus of 0.02339 hm2; secondly, the average tourist natural footprint is 18285.93 hm2, the average tourism environmental carrying capacity is 40421.97 hm2, and the average ecological surplus is 22136.04 hm2. To sum up, it shows that its tourism development is in a state of sustainable development.

Prediction of Per Capita Ecological Carrying Capacity Based on ARIMA-LSTM in Tourism Ecological Footprint Big Data

Reasonable and effective regional ecological evaluation and analysis methods can be an effective help for urban sustainable development, but there are still some errors in the current ecological prediction and analysis methods. To solve this problem, this paper proposes a prediction method of per capita ecological carrying capacity based on the autoregressive integrated moving average model (ARIMA) and long short-term memory (LSTM). First, the method improves the ecological footprint model based on energy analysis and constructs a comprehensive regional ecological data model; considering the complex characteristics of ecological data set, based on the ARIMA network model and LSTM model, a reliable and efficient big data prediction model of per capita ecological carrying capacity is established by analyzing the linear or nonlinear data sets in the data set. Finally, according to the actual ecological data set collected in Shenzhen, China, the results show that the economic and ecological trend of Shenzhen is generally good.

Evaluation of Rural Tourism Carrying Capacity Based on Ecological Footprint Model

The evaluation of the environmental carrying capacity of tourism resources has important guiding significance for the sustainable development of tourism. This study uses the ecological footprint index to construct the evaluation model of rural tourism environmental carrying capacity and quantitatively analyzes the impact of rural tourism ecological footprint on the environment, ecological pressure, and the maximum carrying capacity of tourists in Nanyang City (China) from 2011 to 2020, so as to provide a reference basis for local rural tourism planning and ecological environment management. The empirical analysis results show that (1) during the decade 2011–2020, the overall ecological footprint increased by 31.47%; however, the per capita ecological footprint showed a downward trend year by year; (2) in the ten years from 2011 to 2020, although the environmental carrying capacity was in surplus, it showed a downward trend year by year, and the ecological pressure index initially appeared; (3) taking the number of tourists in 2020 as the reference value, the prediction of the ecological pressure of rural tourism environment and the carrying capacity of tourists shows that although the ecological pressure is in a relatively safe state, it will show an unsafe state with the increase of the number of tourists. Based on the above results, it is suggested that local governments and tourism planning and management departments should pay full attention to the adverse impact of tourism development on the environment, strengthen the construction of green transportation, balance the development of tourism resources, scientifically control the number of tourists, improve tourists’ awareness of environmental protection, protect the ecological environment of Nanyang City, and realize the sustainable development of rural tourism.

Optimization of Tourism Information Analysis System Based on Big Data Algorithm

On the basis of ecological footprint theory and tourism ecological footprint theory, the sustainable development indexes such as ecological footprint, ecological carrying capacity, ecological deficit, and ecological surplus of the research area were calculated and the long-term change pattern of each index was analyzed. This paper shows that the ecological footprint of the research area increases year by year, but the ecological footprint is always smaller than the ecological carrying capacity, indicating that the area is still in the state of sustainable development. However, the per capita ecological surplus shows a decreasing trend year by year, indicating that the sustainable development of the region is getting worse. This paper proposes a reordering method of tourist attractions based on heterogeneous information fusion, and realizes the retrieval and reordering of tourist attractions based on user query and fusion of heterogeneous information, so as to help users make travel decisions. In view of the shortage of tourism commercial websites to passively provide scenic spot information, this paper puts forward a scenic spot retrieval method based on query words to enable users to obtain scenic spot information according to their needs, and constructs a tourist consumer data analysis system. The preprocessing methods and methods adopted by the data preprocessing module are analyzed in detail, and the algorithms used in the travel route analysis and consumer spending ability analysis are described in detail. The data of tourism consumers are analyzed by this system, and the results are evaluated.

SWOT ANALYSIS ON TOURIST ECO-FOOTPRINT AND ECOLOGICAL CARRYING CAPACITY IN POVERTY-STRICKEN AREAS

Tourist cities are facing an ecological crisis due to population boom, pollution and environmental damage. To solve the crisis, this paper attempts to make an accurate evaluation of ecological carrying capacity of tourist cities, identify the factors affecting the ecosustainability of such cities, and prepare a feasible solution to these factors. Specifically, the tourism ecological footprint theory was introduced into the evaluation of sustainable tourism development in tourist areas based on SWOT analysis and eco-footprint model. Then, a tourist eco-footprint and ecological carrying capacity model was constructed for tourist cities. The model has seven sub-models: transportation, accommodation, shopping, leisure, catering, sightseeing and garbage disposal. The proposed model was applied to quantify the tourism sustainability of Suijiang County, Yunnan Province. The results were discussed comprehensively, and then the strategies on sustainable tourism were put forward. The results show that the eco-footprint model can not only effectively analyze the eco-sustainability of tourism environment in poverty-stricken areas, but also put forward the strategy of tourism sustainable development.

Theoretical research on sustainable ecological environment based on the concept of green tourism consumption

Evaluation system of sustainable development of tourism in the area is divided into five states. The method is applied to a scenic spot, the results showed that: 1) residents travel ecological footprint (EF) and ecological footprint area of less than ecological capacity, the total EF region both formed also within the scope of the ecological capacity, described socio-economic development in the tourist area of sustainable development of the state; 2) tourism activities in tourism ecological footprint of each subsystem characterisation, the maximum impact on traffic and shopping on the ecological environment; 3) tourism activities and daily production and life of local residents for the environment the impact mechanism has a significant difference.

Ecological compensation standards of national scenic spots in western China: A case study of Taibai Mountain

One of the impacts of tourism activities on national scenic spots in western China is that local residents have lost some of their rights to benefit from natural resources. The establishment of reasonable ecological compensation standards is an important means of addressing the contradicting interests of stakeholders. Using the ecological footprint (EF) method, the compensation standard for local residents is determined based on a measurement of the touristic ecological footprint (TEF) of the Taibai Mountain scenic spot (TMSS) and the EF of Tangyu Town. The results show that the TEF of the TMSS in 2015 was 13,803.66 ha, the EF and the biological capacity (BC) of Tangyu Town were 83,879.71 ha and 61,722.96 ha, respectively. Thus, the per capita ecological compensation standard is USD 465.76. This study proposes measures to reduce the TEF, improve the implementation of the compensation mechanism and effectively raise funds for ecological compensation.

Measuring the ecological footprint of inbound and outbound tourists: evidence from a panel of 35 countries

The ecological footprint of tourism is imperative to assess for United Nation’s environmental sustainable agenda that is provoked for healthy visitation of tourists without damaging natural environment. This would ultimately reap economic and environmental benefits to sustained international tourism. This study examined the relationship between international tourism indicators, air pollutants, and ecological biodiversity underlying the premises of environmental Kuznets curve in the panel of 35 tourists-induced countries for the period of 1995–2016. The study used panel fixed effect and panel two-stage least square regression technique for robust inferences. The results confirmed the following key points, i.e., (1) the U-shaped relationship found between inbound tourists and mono-nitrogen oxide (NOx), where inbound tourists initially do not emanate the NOx emissions, while at the later stages, the level of NOx emissions substantially raises the required strong policy intervention to reduce emissions and provide tourists safe and healthy destinations, (2) inbound tourists linked with the biodiversity loss, and it increases carbon dioxide (CO2) emissions and greenhouse gas (GHG) emissions in a panel of countries, (3) trade openness affects ecological footprint and potential habitat area, while it decreases NOx and SO2 emissions, (4) international tourists’ departure exercised the ‘rebound effect’ on the ecosystem and air pollutants across countries, (5) there is a monotonic increasing relationship between outbound tourists and ecological footprint, while there is a flat/no relationship between outbound tourists, NOx, CO2, SO2, and GHG emissions, and (6) the food management practices supported the ecological diversity, and it reduces the carbon ‘foodprint,’ while it substantially increases SO2 emissions in outbound tourists’ model. The study emphasized the need for sustainable tourism infrastructure that conserves our natural environment and reduces climatic variability across the globe.

Dialectical Relationship between the World Natural Heritage Protection and Tourism Development-Based on the Evaluation of Tourism Ecological Footprint

In order to explore the dialectical relationship between the world natural heritage sites protection and tourism development, this paper takes Wulong karst world natural heritage site as an example and uses tourism ecological footprint model to evaluate the impact of tourism development on heritage protection. As a result, tourism development can indeed impact on heritage protection, but also endows heritage protection with more realistic possibilities. World natural heritage protection and tourism development are not opposites to each other. By limiting tourism speed development and enhancing ecological compensation, the protection of world heritage sites and tourism development may be unified in the long run. To be specific, the sustainable development of world natural heritage can be realized by limiting the degree of tourism development, limiting the number of tourists, guiding tourists to transform consumption, reducing the ecological footprint of tourism, transferring tourism ecological footprint, and improving the ecological carrying capacity.

Sustainability Assessment of Natural Capital Based on the 3D Ecological Footprint Model: A Case Study of the Shennongjia National Park Pilot

The sustainability assessment of natural capital (SANC) is one of the key elements in the field of national park protection. Assessing the impact of socioeconomic development on the Shennongjia National Park Pilot (SNPP), a typical national park in China, would be extremely conducive to the sustainable management of its natural capital. To this end, a natural capital account system encompassing transportation, accommodation, food, and waste for both locals and tourists was developed. Throughout the period from 2007 to 2016, a SANC was conducted in SNPP based on the 3D ecological footprint (EF3D) model to measure stock consumption as well as flow occupancy. The main conclusions were as follows: First, the ecological footprint (EF) size of the SNPP increased yearly from 2007 to 2014, although it decreased in 2015, when the government started preparing for the SNPP. Second, rapid tourism-related developments brought about an increase in the EF of built-up land, and the increasing medicinal planting also enlarged the EF of arable land. Third, the cumulative EF of tourism was 2.82 times that of locals over the past decade. This gap has been expanding. Overall, the results show relatively steady sustainability in terms of natural capital in the SNPP. More precisely, the preceding stock consumption did not severely constrain the function of the current regeneration of flow capital, whereas tourism and planting have become potential threats to the sustainability of the natural capital.

Investigación sobre la huella ecológica del turismo: el caso de Langzhong en China

Este estudio trata sobre el comportamiento turístico de un destino particular, analizando la composición de la huella ecológica turística de la“Ciudad Antigua de Langzhong” a nivel de ciudadprefectura en la provincia Sichuan, China. El desarrollo de la industria turística de China en los últimos años y los cambios en la huella ecológica de China, han confirmado la proporción de la huella ecológica de varios sectores turísticos en las actividades sociales del turismo, y el impacto de varias partes de los recursos turísticos en las emisiones totales de carbono de China.

Touristic ecological footprint in Mu Ko Surin National Park

The objectives of this study were: 1) to study the resource consumption per tourist in terms of the amount of carbon dioxide emission due to the activities per tourist, 2) to compare the difference in the touristic ecological footprint (TEF) of day-trip and overnight-stay tourists, and 3) to determine the TEF concerning the demand for forest areas to absorb CO2 that is released from the activities of the tourists. Using systematic random sampling, a constructed questionnaire was collected from 397 Thai tourists who visited Mu Ko Surin National Park during October 2014–May 2015. The results showed that day-trip and overnight-stay tourists released an amount of CO2 in one day from four activities that accounted for 177.62 kgCO2e and 132.06 kgCO2e per person, respectively. Regarding assessment of TEF in one year based on the statistics from tourists in 2013, it was found that the demand for CO2-absorbing areas from activities of tourists was 679.59 gha, in which the average per tourist accounted for the demand for CO2-absorbing areas from the activities equal to 0.033 gha per capita. Such consumption behavior required a forest area about one-fifth of all the forest in Mu Ko Surin National Park. Assessment of the TEF can be used as an indicator to assess the sustainability of tourism and as an effective interpretative tool for environmental study. Additionally, this can create and stimulate environmental awareness that may induce behavioral changes in consumption patterns, which are more environmentally friendly in the future.

An overview of encouraging sustainable tourism in the coastal tourism of Karang Jahe beach: issues and challenges

Sustainable tourism basically governs human and environmental relations based on the principles of sustainable development. Thus the critical challenge for policy-makers is how to ensure sustainability, quality and human and environmental issues in the tourism sector. Tourism Area of Karang Jahe Beach (KJB) according to Plan of Utilization of WP3K Spatial Allocation of Central Java Province is included in tourism zone. The growth of nature tourism in this area is quite rapid over the last three years with the typology of mass tourism. The growth of nature-based tourism activities encourages economic growth and the welfare of the people. But in its implementation, nature tourism activities become very susceptible to interference due to human intervention. Considering the ecosystem's richness in the coastal area, the economic potential and the complexity of tourism management in coastal areas, the planning of sustainable tourism development should be a serious concern of stakeholders, including coastal tourism in Karang Jahe Beach. The relevance of sustainable tourism development planning in Karang Jahe Beach can be seen from several issues 1 economic, 2 social, 3 environment and 4 legal. A Touristic Ecological Footprint can be used as an approach to assess the environmental carrying capacity and formulate a coastal tourism development strategy. Carrying capacity-based ecotourism development is expected to play an important role in realizing low carbon community development..

The dynamic analysis and evaluation on tourist ecological footprint of city: Take Shanghai as an instance

Urban tourism is related to the sustainable development of city and it is an important research area of tourism. Combining with the feature of tourist consumption structure, the paper assessed tourism ecological footprint in Shanghai from 2008 to 2013 and analyzed the dynamic and the reasons based on the ecological footprint model. The results showed that: (1) For all component of tourism footprint, the proportion of tourism traffic footprint was the largest, highly could reach to 62.11%, followed by the tourism shopping footprint; (2) The proportion of fossil energy occupied the largest ratio in the tourism ecological footprint land type, followed by the cultivated land; (3) There had been tourism ecological deficit in Shanghai from 2008 to 2013, with a yearly average value of 326.28 × 10−4 hm2, showing that the pressure of tourism ecosystem was high and the Shanghai tourism was in unsustainable development state; (4) Influenced by the world expo in 2010, the total footprint of tourism and its consumption structure has changed a lot, especially in tourist traffic and tourism shopping. To reduce the ecological footprint of Shanghai tourism, we need to consider the reduction of the various components of the footprint and build a resource-saving consumption model.

Progress and Prospects for Tourism Footprint Research

The tourism footprint family comprises the tourism ecological footprint (TEF), the tourism carbon footprint (TCF) and the tourism water footprint (TWF). The tourism footprint represents an important tool for quantitatively assessing the impact of tourism activities on the ecosystem of a tourist destination. This paper systematically reviews the relevant literature on TEF, TCF and TWF, analyses and summarizes the main progress and failures in the analytical frameworks, research methods, measurement results, environmental impacts and reductions in the tourism footprint. This paper also proposes areas for further developing the tourism footprint research, including unifying the analytical frameworks and boundaries of the tourism footprint, distinguishing the geographical scope of the tourism footprint effectively, improving the process of analyzing the environmental impact of the tourism footprint, measuring the tourism footprint scientifically and roundly, performing space-time calculations of the tourism footprint, and expanding the tourism footprint family by introducing new members. Accordingly, this paper is devoted to the continued study of the tourism footprint.

Ecological footprint analysis on tourism carrying capacity at the Zhoushan Archipelago, China

ABSTRACTTourism has been a dynamic and potential industry in China in the recent two decades. However, the rapid development of tourism has caused tremendous ecological pressure. Evaluation of tourism carrying capacity is imperative to have a comprehensive understanding of tourism’s development and sustainability. Ecological footprint (EF) analysis was applied to quantitatively assess the ecological carrying capacity of tourism in the Zhoushan Municipality during the years 2010–2014, and geospatial technologies were used for regional analysis. Results showed that the tourism EF (TEF) and local EF slowly increased between 2010 and 2014. TEF accounted for a remarkable proportion over this five-year period and reached 20–30% of the regional EF. Amongst the four sub-regions, Dinghai appeared to have a relatively large deficit, whereas Shengsi presented a great ecological carrying capacity surplus, thereby revealing a remarkable local imbalance of development. Although the TEF of Zhoushan was slightly over its carrying capacity, the per capital EF of residents remained below average national and global levels. Proper planning and development of tourism at the regional level are suggested as a sound strategy for sustainable development of the Zhoushan Municipality.

Tourism Ecological Footprint: Energy Consumption of Domestic and International Tourists in Egypt

Tourism Ecological Footprint: Energy Consumption of Domestic and International Tourists in Egypt