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Analysis on the Impact of haze on Beijing Residents’ Traveling Intention and Decision-Making

Analysis on the Impact of haze on Beijing Residents’ Traveling Intention and Decision-Making ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” Analysis on the Impact of haze on Beijing Residents' Traveling Intention and Decision-Making Rongfan Zhu School of Statistics, Jiangxi University of Finance and economics, Jiangxi Nanchang, China *Corresponding author e-mail: ZhuRongFan@163.com Abstract. Since the 21st century, there has been a wide range of air pollution problems in China. Due to the combined effects of many factors, the air pollution problem in Beijing is the most prominent. Coupled with the special status of the Chinese capital, the haze problem in Beijing has become the focus of attention of all walks of life. In recent years, in order to reduce the hazards of haze, tourism products and tourism routes with the theme of avoiding haze become quickly popular between Beijing residents. Behind the hot sales of haze-avoiding products, how does the haze affect the travel wishes and decisions of Beijing residents? This is a major issue concerning the development of the tourism industry in severely hazy areas and is also an academic issue worthy of in-depth study. Therefore, this article takes a sample survey of Beijing residents as an example to analyse the specific impact of haze on residents' willingness to travel and decision-making from the perspective of residents in Beijing in order to promote the reduction of the impact of haze on people's travel and the development of the tourism industry. 1. Introduction Haze refers to the atmospheric phenomenon of air visibility below 10 km due to the accumulation of solid and liquid particles (especially PM2.5) [1]. The increasingly severe haze weather in Beijing has gradually become a focus issue for the national media and all walks of life. [2] In recent years, in order to reduce the hazards of haze, tourism products and tourism routes with the theme of avoiding haze become quickly popular between Beijing residents. Behind the hot sales of haze-avoiding products, how does the haze affect the travel wishes and decisions of Beijing residents? This is a major issue concerning the development of the tourism industry in severely hazy areas. Although haze has become a new hot spot in academic research in China, the focus of research has been on the concepts, causes, hazards, and prevention of haze. There are relatively few direct studies on the impact of haze on leisure and tourism. [3]Wang Luffing used Shanghai as an example to analyze the demand and supply of Shanghai residents' sports activities under hazy and inhospitable scenery. The study found that most Shanghai residents had insufficient awareness of haze training and the frequency of residents' fitness activities was affected by hazy weather. [4] The changes were not significant, and 79% of residents with fitness habits persisted in sports activities (including indoor and outdoor) in hazy weather; [5] Li Jing et al. used structural equation modeling to explore the haze perception and risk perception of tourists from Beijing and abroad. The structural relationship between satisfaction, loyalty, Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd 1 ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” and loyalty, and the differences in perceptions of the above four dimensions between domestic tourists and international tourists. In summary, from the perspective of tourists, there are few studies on the impact of haze on tourists' willingness to travel. Therefore, taking the sample survey of residents of Beijing as an example, this paper aims to analyze the specific impact of haze on the residents' willingness to travel from the perspective of Beijing residents, so as to promote the reduction of the impact of haze on people's travel and the development of the tourism industry. 2. Research methods and data sources This study used questionnaires to investigate the specific impact of haze on Beijing residents' tourism and the overall feelings of residents on hazy weather. Cross-analysis, factor analysis and other methods were used to analyze the specific impact of haze on Beijing residents' tourism and the overall feelings of residents on haze weather. A total of 284 questionnaires were distributed, of which 256 were valid and the recovery rate was as high as 90%. The questionnaire consists of four parts, a total of 16 topics, of which, the first part is the basic information of the survey objects, including the subject's gender, age, education level and monthly income 4 topics. The second part is the impact of smog on the willingness of tourists to travel, including 5 topics. The third part is the specific impact of haze on travel plans, including five topics. The fourth part is the overall feeling of the subject of hazy weather, including two topics. In addition to basic information, other topics are based on a 5-point Likert scale design. 3. Empirical analysis 3.1. Demographic characteristics of the sample According to Table 1, about 70% of females and 30% of males are in the sample. From an age point of view, Beijing residents aged 20-30 account for 65.6% of the sample, followed by residents under 20 years of age accounting for 20.3%. This is similar to the age range of loving travel. Undergraduates account for 73.4%, followed by college graduates who accounted for 12.5%, with the least number of high school graduates and masters and above, which is consistent with the actual situation of education. Since the age of the respondents is mainly below the age of 30, the most number of monthly income is below 2500 yuan, accounting for 56.3%. Table 1. Demographic characteristics of the sample. Feature Eigenvalues Frequency Frequency (%) male 68 26.6 Gender female 188 73.4 age under 20 52 20.3 20-30 years old 168 65.6 Age 30-40 years old 12 4.7 age beyond 40 24 9.4 below junior high school 8 3.1 High School 16 6.3 Level of education College 32 12.5 Undergraduate 188 73.4 Master degree and above 12 4.7 2500 yuan or less 144 56.3 2500-4999 yuan 56 21.9 Monthly income 5000-9999 yuan 32 12.5 More than 10, 000 yuan 24 9.4 ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” 3.2. Analysis of the degree of influence of haze on residents' willingness to travel According to Table 2, more than 60% of residents think that hazy weather has an impact on their willingness to go and the way they travel. Among them, more than 20% of the residents think that the impact is very large. Specifically, haze has the greatest impact on residents’ willingness to travel outside. The degree of influence on indoor travel will be less. Table 2. Distribution of degree of influence of haze weather. Willingness to go out Travel way Indoor travel Outdoor travel frequency % frequency % frequency % frequency % Absolutely not 6.3 12.5 21.9 6.3 not 9.4 10.9 23.4 7.8 uncertain 12.5 14.1 25.0 9.4 yes 45.3 42.2 23.4 32.8 much 26.6 20.3 6.3 43.8 sum 100.0 100.0 100.0 100.0 3.3. Community differences in residents' willingness to travel affected by haze The cross-tabulation analysis of gender, age, education level, monthly income and haze on the subject's tourist willingness was conducted to analyze whether the degree of influence of haze on the residents' willingness to travel has group differences. According to the chi-square test results in Table 3, the P values of both are less than 0.05. Therefore, the original hypothesis that the residents who refuse to accept different ages and monthly incomes due to haze-influence is not significantly different, that is, we think differently. Residents' willingness to travel by age and monthly income is significantly affected by haze. Table 3. Chi-square test. Value Df Sig. Pearson 27.422 12 0.007 Likelihood ratio 15.643 12 0.208 Linear and Linear Combinations 0.383 1 0.536 N in the effective case 256 In order to further analyze the differences in the willingness to choose different haze and monthly income for traveling abroad in a hazy weather, we use group statistics to express. Table 4 shows that residents under the age of 20 are less likely to travel in fog and haze than other ages, suggesting that young people are more reluctant to travel on haze days. This may be more concerned with media news among young people. Haze hazards are more aware of the relevant issues; residents aged 30-40 years are significantly more likely to choose to travel outside the country when they choose to go to haze. It can be seen that residents aged 30-40 years are more likely to choose to travel in the haze weather. Table 4. Group statistics of the willingness of residents of different ages to choose to travel in haze. Age Mean N Variance age under 20 2.23 52 0.859 20-30 years old 2.31 168 0.658 30-40 years old 3.00 12 3.000 age beyond 40 2.33 24 0.267 sum 2.33 256 0.732 ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” 3.4. General feelings of residents on hazy weather Figure 1. Bar chart of satisfaction with travel in hazy weather. Figure 2. Pie chart of whether haze has a positive influence on tourism. As can be seen from Figure 1, more than 80% of the residents are not satisfied with traveling in fog and haze. As can be seen from Figure 2, about 60% of residents believe that smog has no positive impact on tourism. It can be seen that residents’ overall feeling of haze is poor. 3.5. The comprehensive effect of haze weather on travel In order to analyze the overall impact of haze weather on residents' travel, taking into account the five aspects of haze and weather travel planning, there is a certain degree of correlation, and it is proposed to conduct factor analysis on the five aspects of haze and weather travel planning. Construct a comprehensive influence function. ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” Table 5. Examination of KMO and Bartlett. Kaiser-Meyer-Olkin measure 0.725 Approximate Chi-square 127.387 df 10 Bartlett's sphericity test Sig. 0.000 From Table 5, it can be seen that the Kaiser-Meyer-Olkin metric for a sufficient sampling is 0.725, which is close to 1, and Bartlett's sphericity test has a P-value of 0.000<0.05, which is suitable for factor analysis. Table 6. Explanation of total variance. Ingredient Initial feature value Rotation squared and loaded s % of % of % of % of sum variance accumulation sum variance accumulation 1 2.923 58.463 58.463 2.540 50.793 50.793 2 0.824 16.473 74.936 1.207 24.143 74.936 3 0.625 12.503 87.439 4 0.447 8.942 96.381 5 0.181 3.619 100.000 From Table 6, it can be seen that the extraction of two common factors is appropriate, representing a total of 75% of the original variable information, and the extraction effect is good. Table 7. Rotating component matrix. Ingredients Standardized raw variables 1 2 Shorten travel time 0.780 0.102 Change travel destination 0.654 0.452 Delay travel time 0.905 0.159 Cancel travel plan 0.814 0.183 Go to other cities 0.148 0.966 From Table 7, we can see that the coefficient of public factor 1 is the largest in shortening travel time, delaying travel time, and canceling travel plans. Therefore, public factor 1 can be named as the influence of haze on travel time; the coefficient of public factor 2 is changing travel destinations. , go to other cities in the largest, so the public reason 2 can be named as haze on the impact of tourism sites. 4. Conclusion After analyzing the impact of haze on Beijing residents' travel wishes, overall feelings, travel plans, etc, we find that most residents believe that hazy weather has an impact on their willingness to travel and the way they travel. Residents under the age of 20 are even more reluctant to travel on haze days; residents aged 30-40 years fluctuate in their willingness to choose to travel in hazy weather; more than half of residents will change their travel plans due to hazy weather; Using factor analysis to construct a comprehensive impact function, we have obtained two common factors: the impact of smog on travel time and the impact of smog on tourist destinations; among them, the weight of the impact on travel time is relatively larger. It can be seen that people tend to avoid hazy weather tourism by delaying or shortening travel time, and do not easily change travel locations. This is because there are large differences between tourism destinations and their replacement is relatively small. Local governments, tourism bureaus, etc. should correctly understand the influence of haze on residents' travel wishes and ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” plans, and in addition to increasing the uniqueness and attractiveness of scenic spots, they should innovate tourism products and tourism methods that reduce haze damage. References [1] GUO Lijun, GUO Xueliang, FANG Chungang, ZHU Shichao. Observation and Analysis of the Characteristics of Generation, Evolution, and Transformation of a Severe Haze in North China [J]. Chinese science: Earth Sciences, 2015, 45 (04): 427 - 443. [2] Peng Jian, Guo Siyuan, Yan Yanan, Zhang Song. A Study on Residents' Perceptions and Attitudes towards the Impact of the Haze in Beijing [J]. China Polity, Resources and Environment, 2016, 26 (10): 168 - 176. [3] Peng Jian, Zhang Song, Luo Shiqi, Yang Lu. Beijing Residents' Perceptions of haze and Their Tourism Intentions and Behaviours [J]. World Geography, 2016, 25 (06): 128 - 137. [4] Li Mengyao, Zhao Yubo. Study on the Impact of Haze on China's Inbound Tourism: Taking Beijing Inbound Tourism as an Example [J]. Agricultural Machinery of China, 2016, 43 (07): 90 + 94. [5] TANG Chengcai, FENG Shi, DAI Xiangyi. Analysis of the influence of hazy weather on Beijing inbound tourists [J]. Journal of Arid Land Resources and Environment, 2017, 31 (08): 198 - [6] Ban Jie,Zhou Lian,Zhang Yi,Brooke Anderson G,Li Tiantian. The health policy implications of individual adaptive behavior responses to haze pollution in urban China. [J]. Environment international, 2017, 106. [7] Jing Li, Philip L. Pearce,Alastair M. Morrison,Bihu Wu. Up in Smoke? The Impact of haze on Risk Perception and Satisfaction of International Tourists in Beijing [J]. International Journal of Tourism Research, 2016, 18 (4). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png IOP Conference Series: Materials Science and Engineering IOP Publishing

Analysis on the Impact of haze on Beijing Residents’ Traveling Intention and Decision-Making

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Abstract

ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” Analysis on the Impact of haze on Beijing Residents' Traveling Intention and Decision-Making Rongfan Zhu School of Statistics, Jiangxi University of Finance and economics, Jiangxi Nanchang, China *Corresponding author e-mail: ZhuRongFan@163.com Abstract. Since the 21st century, there has been a wide range of air pollution problems in China. Due to the combined effects of many factors, the air pollution problem in Beijing is the most prominent. Coupled with the special status of the Chinese capital, the haze problem in Beijing has become the focus of attention of all walks of life. In recent years, in order to reduce the hazards of haze, tourism products and tourism routes with the theme of avoiding haze become quickly popular between Beijing residents. Behind the hot sales of haze-avoiding products, how does the haze affect the travel wishes and decisions of Beijing residents? This is a major issue concerning the development of the tourism industry in severely hazy areas and is also an academic issue worthy of in-depth study. Therefore, this article takes a sample survey of Beijing residents as an example to analyse the specific impact of haze on residents' willingness to travel and decision-making from the perspective of residents in Beijing in order to promote the reduction of the impact of haze on people's travel and the development of the tourism industry. 1. Introduction Haze refers to the atmospheric phenomenon of air visibility below 10 km due to the accumulation of solid and liquid particles (especially PM2.5) [1]. The increasingly severe haze weather in Beijing has gradually become a focus issue for the national media and all walks of life. [2] In recent years, in order to reduce the hazards of haze, tourism products and tourism routes with the theme of avoiding haze become quickly popular between Beijing residents. Behind the hot sales of haze-avoiding products, how does the haze affect the travel wishes and decisions of Beijing residents? This is a major issue concerning the development of the tourism industry in severely hazy areas. Although haze has become a new hot spot in academic research in China, the focus of research has been on the concepts, causes, hazards, and prevention of haze. There are relatively few direct studies on the impact of haze on leisure and tourism. [3]Wang Luffing used Shanghai as an example to analyze the demand and supply of Shanghai residents' sports activities under hazy and inhospitable scenery. The study found that most Shanghai residents had insufficient awareness of haze training and the frequency of residents' fitness activities was affected by hazy weather. [4] The changes were not significant, and 79% of residents with fitness habits persisted in sports activities (including indoor and outdoor) in hazy weather; [5] Li Jing et al. used structural equation modeling to explore the haze perception and risk perception of tourists from Beijing and abroad. The structural relationship between satisfaction, loyalty, Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd 1 ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” and loyalty, and the differences in perceptions of the above four dimensions between domestic tourists and international tourists. In summary, from the perspective of tourists, there are few studies on the impact of haze on tourists' willingness to travel. Therefore, taking the sample survey of residents of Beijing as an example, this paper aims to analyze the specific impact of haze on the residents' willingness to travel from the perspective of Beijing residents, so as to promote the reduction of the impact of haze on people's travel and the development of the tourism industry. 2. Research methods and data sources This study used questionnaires to investigate the specific impact of haze on Beijing residents' tourism and the overall feelings of residents on hazy weather. Cross-analysis, factor analysis and other methods were used to analyze the specific impact of haze on Beijing residents' tourism and the overall feelings of residents on haze weather. A total of 284 questionnaires were distributed, of which 256 were valid and the recovery rate was as high as 90%. The questionnaire consists of four parts, a total of 16 topics, of which, the first part is the basic information of the survey objects, including the subject's gender, age, education level and monthly income 4 topics. The second part is the impact of smog on the willingness of tourists to travel, including 5 topics. The third part is the specific impact of haze on travel plans, including five topics. The fourth part is the overall feeling of the subject of hazy weather, including two topics. In addition to basic information, other topics are based on a 5-point Likert scale design. 3. Empirical analysis 3.1. Demographic characteristics of the sample According to Table 1, about 70% of females and 30% of males are in the sample. From an age point of view, Beijing residents aged 20-30 account for 65.6% of the sample, followed by residents under 20 years of age accounting for 20.3%. This is similar to the age range of loving travel. Undergraduates account for 73.4%, followed by college graduates who accounted for 12.5%, with the least number of high school graduates and masters and above, which is consistent with the actual situation of education. Since the age of the respondents is mainly below the age of 30, the most number of monthly income is below 2500 yuan, accounting for 56.3%. Table 1. Demographic characteristics of the sample. Feature Eigenvalues Frequency Frequency (%) male 68 26.6 Gender female 188 73.4 age under 20 52 20.3 20-30 years old 168 65.6 Age 30-40 years old 12 4.7 age beyond 40 24 9.4 below junior high school 8 3.1 High School 16 6.3 Level of education College 32 12.5 Undergraduate 188 73.4 Master degree and above 12 4.7 2500 yuan or less 144 56.3 2500-4999 yuan 56 21.9 Monthly income 5000-9999 yuan 32 12.5 More than 10, 000 yuan 24 9.4 ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” 3.2. Analysis of the degree of influence of haze on residents' willingness to travel According to Table 2, more than 60% of residents think that hazy weather has an impact on their willingness to go and the way they travel. Among them, more than 20% of the residents think that the impact is very large. Specifically, haze has the greatest impact on residents’ willingness to travel outside. The degree of influence on indoor travel will be less. Table 2. Distribution of degree of influence of haze weather. Willingness to go out Travel way Indoor travel Outdoor travel frequency % frequency % frequency % frequency % Absolutely not 6.3 12.5 21.9 6.3 not 9.4 10.9 23.4 7.8 uncertain 12.5 14.1 25.0 9.4 yes 45.3 42.2 23.4 32.8 much 26.6 20.3 6.3 43.8 sum 100.0 100.0 100.0 100.0 3.3. Community differences in residents' willingness to travel affected by haze The cross-tabulation analysis of gender, age, education level, monthly income and haze on the subject's tourist willingness was conducted to analyze whether the degree of influence of haze on the residents' willingness to travel has group differences. According to the chi-square test results in Table 3, the P values of both are less than 0.05. Therefore, the original hypothesis that the residents who refuse to accept different ages and monthly incomes due to haze-influence is not significantly different, that is, we think differently. Residents' willingness to travel by age and monthly income is significantly affected by haze. Table 3. Chi-square test. Value Df Sig. Pearson 27.422 12 0.007 Likelihood ratio 15.643 12 0.208 Linear and Linear Combinations 0.383 1 0.536 N in the effective case 256 In order to further analyze the differences in the willingness to choose different haze and monthly income for traveling abroad in a hazy weather, we use group statistics to express. Table 4 shows that residents under the age of 20 are less likely to travel in fog and haze than other ages, suggesting that young people are more reluctant to travel on haze days. This may be more concerned with media news among young people. Haze hazards are more aware of the relevant issues; residents aged 30-40 years are significantly more likely to choose to travel outside the country when they choose to go to haze. It can be seen that residents aged 30-40 years are more likely to choose to travel in the haze weather. Table 4. Group statistics of the willingness of residents of different ages to choose to travel in haze. Age Mean N Variance age under 20 2.23 52 0.859 20-30 years old 2.31 168 0.658 30-40 years old 3.00 12 3.000 age beyond 40 2.33 24 0.267 sum 2.33 256 0.732 ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” 3.4. General feelings of residents on hazy weather Figure 1. Bar chart of satisfaction with travel in hazy weather. Figure 2. Pie chart of whether haze has a positive influence on tourism. As can be seen from Figure 1, more than 80% of the residents are not satisfied with traveling in fog and haze. As can be seen from Figure 2, about 60% of residents believe that smog has no positive impact on tourism. It can be seen that residents’ overall feeling of haze is poor. 3.5. The comprehensive effect of haze weather on travel In order to analyze the overall impact of haze weather on residents' travel, taking into account the five aspects of haze and weather travel planning, there is a certain degree of correlation, and it is proposed to conduct factor analysis on the five aspects of haze and weather travel planning. Construct a comprehensive influence function. ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” Table 5. Examination of KMO and Bartlett. Kaiser-Meyer-Olkin measure 0.725 Approximate Chi-square 127.387 df 10 Bartlett's sphericity test Sig. 0.000 From Table 5, it can be seen that the Kaiser-Meyer-Olkin metric for a sufficient sampling is 0.725, which is close to 1, and Bartlett's sphericity test has a P-value of 0.000<0.05, which is suitable for factor analysis. Table 6. Explanation of total variance. Ingredient Initial feature value Rotation squared and loaded s % of % of % of % of sum variance accumulation sum variance accumulation 1 2.923 58.463 58.463 2.540 50.793 50.793 2 0.824 16.473 74.936 1.207 24.143 74.936 3 0.625 12.503 87.439 4 0.447 8.942 96.381 5 0.181 3.619 100.000 From Table 6, it can be seen that the extraction of two common factors is appropriate, representing a total of 75% of the original variable information, and the extraction effect is good. Table 7. Rotating component matrix. Ingredients Standardized raw variables 1 2 Shorten travel time 0.780 0.102 Change travel destination 0.654 0.452 Delay travel time 0.905 0.159 Cancel travel plan 0.814 0.183 Go to other cities 0.148 0.966 From Table 7, we can see that the coefficient of public factor 1 is the largest in shortening travel time, delaying travel time, and canceling travel plans. Therefore, public factor 1 can be named as the influence of haze on travel time; the coefficient of public factor 2 is changing travel destinations. , go to other cities in the largest, so the public reason 2 can be named as haze on the impact of tourism sites. 4. Conclusion After analyzing the impact of haze on Beijing residents' travel wishes, overall feelings, travel plans, etc, we find that most residents believe that hazy weather has an impact on their willingness to travel and the way they travel. Residents under the age of 20 are even more reluctant to travel on haze days; residents aged 30-40 years fluctuate in their willingness to choose to travel in hazy weather; more than half of residents will change their travel plans due to hazy weather; Using factor analysis to construct a comprehensive impact function, we have obtained two common factors: the impact of smog on travel time and the impact of smog on tourist destinations; among them, the weight of the impact on travel time is relatively larger. It can be seen that people tend to avoid hazy weather tourism by delaying or shortening travel time, and do not easily change travel locations. This is because there are large differences between tourism destinations and their replacement is relatively small. Local governments, tourism bureaus, etc. should correctly understand the influence of haze on residents' travel wishes and ACMME 2018 IOP Publishing IOP Conf. Series: Materials Science and Engineering 394 (2018) 052054 doi:10.1088/1757-899X/394/5/052054 1234567890‘’“” plans, and in addition to increasing the uniqueness and attractiveness of scenic spots, they should innovate tourism products and tourism methods that reduce haze damage. References [1] GUO Lijun, GUO Xueliang, FANG Chungang, ZHU Shichao. Observation and Analysis of the Characteristics of Generation, Evolution, and Transformation of a Severe Haze in North China [J]. Chinese science: Earth Sciences, 2015, 45 (04): 427 - 443. [2] Peng Jian, Guo Siyuan, Yan Yanan, Zhang Song. A Study on Residents' Perceptions and Attitudes towards the Impact of the Haze in Beijing [J]. China Polity, Resources and Environment, 2016, 26 (10): 168 - 176. [3] Peng Jian, Zhang Song, Luo Shiqi, Yang Lu. Beijing Residents' Perceptions of haze and Their Tourism Intentions and Behaviours [J]. World Geography, 2016, 25 (06): 128 - 137. [4] Li Mengyao, Zhao Yubo. Study on the Impact of Haze on China's Inbound Tourism: Taking Beijing Inbound Tourism as an Example [J]. Agricultural Machinery of China, 2016, 43 (07): 90 + 94. [5] TANG Chengcai, FENG Shi, DAI Xiangyi. Analysis of the influence of hazy weather on Beijing inbound tourists [J]. Journal of Arid Land Resources and Environment, 2017, 31 (08): 198 - [6] Ban Jie,Zhou Lian,Zhang Yi,Brooke Anderson G,Li Tiantian. The health policy implications of individual adaptive behavior responses to haze pollution in urban China. [J]. Environment international, 2017, 106. [7] Jing Li, Philip L. Pearce,Alastair M. Morrison,Bihu Wu. Up in Smoke? The Impact of haze on Risk Perception and Satisfaction of International Tourists in Beijing [J]. International Journal of Tourism Research, 2016, 18 (4).

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IOP Conference Series: Materials Science and EngineeringIOP Publishing

Published: Jul 1, 2018

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