Built in 1252 during the Southern Song Dynasty(1127-1279),Nanxun boasts a rich cultural legacy that has accumulated throughout 700 years.THE ancient town of Nanxun is located in Nanxun District of Huzhou City,east Ch...Built in 1252 during the Southern Song Dynasty(1127-1279),Nanxun boasts a rich cultural legacy that has accumulated throughout 700 years.THE ancient town of Nanxun is located in Nanxun District of Huzhou City,east China’s Zhejiang Province,nestled in the prosperous heart of the Yangtze River Delta region.展开更多
The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as t...The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as the research object.Based on previous literature and theories,the author analyzes and explores the relationship between the destination image of Nanning Garden Expo and tourist willingness to revisit.The research tool is questionnaire and the sample size of the survey data is calculated by Cochrane formula,and the data collection volume is 385.The statistics used in the data analysis are descriptive statistics including frequency distribution,percentage,mean,standard deviation,and inferential statistic for testing hypothesis.The researcher applies multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables.Hypothesis test indicates that destination image has a significant positive impact on tourist willingness to revisit.Based on the results of the empirical study,relevant suggestions are proposed for how to enhance tourist willingness to revisit for Nanning Garden Expo and promote the healthy and sustainable development of tourism.展开更多
By using GIS, RS and landscape ecology, LandsatTM (1993 and 2009) and ETM (2001) remote sensing images of Licheng District of Ji’nan City, Shandong Province were interpreted, and dynamic changes of landscape pattern ...By using GIS, RS and landscape ecology, LandsatTM (1993 and 2009) and ETM (2001) remote sensing images of Licheng District of Ji’nan City, Shandong Province were interpreted, and dynamic changes of landscape pattern in the district were analyzed at the levels of class and landscape. The results showed that during the 16 years the landscape pattern in the district had changed significantly. (a) From the perspective of patch category, areas of arable land, woodland and grassland decreased unceasingly, and arable land accounted for the largest reduction from 488.15 km 2 in 1993 down to 324.37 km 2 in 2009, witnessing a reduction rate of 33.56%. But the patch quantity and fragmentation increased, patch connectivity reduced. Spatial pattern of construction land expanded and its area witnessed a significant increase of 147.05%. Patch cohesion index increased and connectivity grew better. (b) From the perspective of overall landscape, patch quantity, contagion and perimeter-area fractal dimension decreased, patch shape became simple, the Shannon’s diversity index, Shannon’s evenness index and splitting index increased, landscape heterogeneity rose. With the rapid social and economic development, landscape pattern will be more and more influenced by human behaviors展开更多
文摘Built in 1252 during the Southern Song Dynasty(1127-1279),Nanxun boasts a rich cultural legacy that has accumulated throughout 700 years.THE ancient town of Nanxun is located in Nanxun District of Huzhou City,east China’s Zhejiang Province,nestled in the prosperous heart of the Yangtze River Delta region.
文摘The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as the research object.Based on previous literature and theories,the author analyzes and explores the relationship between the destination image of Nanning Garden Expo and tourist willingness to revisit.The research tool is questionnaire and the sample size of the survey data is calculated by Cochrane formula,and the data collection volume is 385.The statistics used in the data analysis are descriptive statistics including frequency distribution,percentage,mean,standard deviation,and inferential statistic for testing hypothesis.The researcher applies multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables.Hypothesis test indicates that destination image has a significant positive impact on tourist willingness to revisit.Based on the results of the empirical study,relevant suggestions are proposed for how to enhance tourist willingness to revisit for Nanning Garden Expo and promote the healthy and sustainable development of tourism.
文摘By using GIS, RS and landscape ecology, LandsatTM (1993 and 2009) and ETM (2001) remote sensing images of Licheng District of Ji’nan City, Shandong Province were interpreted, and dynamic changes of landscape pattern in the district were analyzed at the levels of class and landscape. The results showed that during the 16 years the landscape pattern in the district had changed significantly. (a) From the perspective of patch category, areas of arable land, woodland and grassland decreased unceasingly, and arable land accounted for the largest reduction from 488.15 km 2 in 1993 down to 324.37 km 2 in 2009, witnessing a reduction rate of 33.56%. But the patch quantity and fragmentation increased, patch connectivity reduced. Spatial pattern of construction land expanded and its area witnessed a significant increase of 147.05%. Patch cohesion index increased and connectivity grew better. (b) From the perspective of overall landscape, patch quantity, contagion and perimeter-area fractal dimension decreased, patch shape became simple, the Shannon’s diversity index, Shannon’s evenness index and splitting index increased, landscape heterogeneity rose. With the rapid social and economic development, landscape pattern will be more and more influenced by human behaviors
