Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988–2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affectin...Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988–2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affecting the residential land of the Jinshitan Tourist Resort were studied. The work included a combination of GIS technology, adoption of the differentiation index D, and the multi-group differentiation-measure model D(m). The results provided a basis for the following conclusions: 1) From 1988 to 2012, the degree of differentiation of the rural residential land first decreased, and then increased. The general residential, commercial residential and garden-house land-types all showed declining trends, of which the garden-house type presented the most intense volatility. 2) The overall background of the traditional residential land type was gradually replaced by a new residential land type, and the total area of residential land increased year by year, significantly improving the overall residential conditions. The areas of the new residential land type showed growth, and were increasingly widely distributed in the coastal tourist resorts, transportation corridors, and scenic areas. 3) Government policy, social differentiation, market mechanisms, and individual choices(along with other factors) were mutually promoted, although still restrained. However, all of these factors interacted to constrain the developmental direction and the processes affecting tourism real estate in the Dalian Jinshitan Tourist Resort.展开更多
This study examines the socio-spatial context of uneven development and the residential accessibility of green space in Dalian of Liaoning Province, China. The social fairness was analyzed with a community scale as th...This study examines the socio-spatial context of uneven development and the residential accessibility of green space in Dalian of Liaoning Province, China. The social fairness was analyzed with a community scale as the basis. We combined social scientific methods with a GIS method using a behavior accessibility model from the perspectives of fairness of urban green space allocation based on social geography, geographic information science, management science and many other related discipline theories. The results show that: 1) Most of the urban green space distribution presents an unbalanced phenomenon, and it does not match with the population distribution; 2) We found some differences in the accessibility of the population with different attributes and opportunities to use and enjoy the urban green spaces, mainly due to: the dual social and spatial attributes of the residents and the serious stratum differentiation generated were the internal causes; the residential space differentiation and the pursuit of economic and real estate development were the direct causes; and unreasonable planning, in regard to the fact that government policies did not give consideration to efficiency and fairness, was also an important factor.展开更多
This paper studies the relationship between accessibility and housing prices in Dalian by using an improved geographically weighted regression model and house prices, traffic, remote sensing images, etc. Multi-source ...This paper studies the relationship between accessibility and housing prices in Dalian by using an improved geographically weighted regression model and house prices, traffic, remote sensing images, etc. Multi-source data improves the accuracy of the spatial differentiation that reflects the impact of traffic accessibility on house prices. The results are as follows: first, the average house price is 12 436 yuan(RMB)/m^2, and reveals a declining trend from coastal areas to inland areas. The exception was Guilin Street, which demonstrates a local peak of house prices that decreases from the center of the street to its periphery. Second, the accessibility value is 33 minutes on average, excluding northern and eastern fringe areas, which was over 50 minutes. Third, the significant spatial correlation coefficient between accessibility and house prices is 0.423, and the coefficient increases in the southeastern direction. The strongest impact of accessibility on house prices is in the southeastern coast, and can be seen in the Lehua, Yingke, and Hushan communities, while the weakest impact is in the northwestern fringe, and can be seen in the Yingchengzi, Xixiaomo, and Daheishi community areas.展开更多
Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition...Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition. Based on priority evaluation data obtained from dianping.com(Liaoning Province), and the established criteria for assessing pseudo habitat environment quality, this study uses the entropy method to calculate and rank the comprehensive score of each merchant's word-of-mouth evaluation. It analyzes the spatial pattern and differentiation characteristics of pseudo environment quality, as well. Results show that:(1) The overall quality scores of the pseudo living environment in southern, central, and northern Liaoning are higher than those in eastern and western area. The pseudo habitat environment quality score of coastal cities is relatively higher than that of inland cities; and that of cities with high resource depletion is lower.(2) Parent-child activity, learning and training, and sports & health have significant impact, whereas hotels and peripheral tours have less impact on the pseudo habitat environment quality in Liaoning province. The overall pseudo habitat environment quality score of a city is inversely proportional to the total scores of various indicators in the city.(3) The spatial distribution of pseudo habitat quality in Liaoning Province shows a "saddle" structure. The spatial heterogeneity of the pseudo habitat environment in central and northern Liaoning areas is larger than that in eastern, western, and southern areas of Liaoning. The degree of quality of the pseudo habitat environment is proportional to the size of its spatial differentiation degree in total.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41471140)Outstanding Youth Program of Liaoning Province(No.LJQ2015058)
文摘Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988–2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affecting the residential land of the Jinshitan Tourist Resort were studied. The work included a combination of GIS technology, adoption of the differentiation index D, and the multi-group differentiation-measure model D(m). The results provided a basis for the following conclusions: 1) From 1988 to 2012, the degree of differentiation of the rural residential land first decreased, and then increased. The general residential, commercial residential and garden-house land-types all showed declining trends, of which the garden-house type presented the most intense volatility. 2) The overall background of the traditional residential land type was gradually replaced by a new residential land type, and the total area of residential land increased year by year, significantly improving the overall residential conditions. The areas of the new residential land type showed growth, and were increasingly widely distributed in the coastal tourist resorts, transportation corridors, and scenic areas. 3) Government policy, social differentiation, market mechanisms, and individual choices(along with other factors) were mutually promoted, although still restrained. However, all of these factors interacted to constrain the developmental direction and the processes affecting tourism real estate in the Dalian Jinshitan Tourist Resort.
基金Under the auspices of National Natural Science Foundation of China(No.41471140)
文摘This study examines the socio-spatial context of uneven development and the residential accessibility of green space in Dalian of Liaoning Province, China. The social fairness was analyzed with a community scale as the basis. We combined social scientific methods with a GIS method using a behavior accessibility model from the perspectives of fairness of urban green space allocation based on social geography, geographic information science, management science and many other related discipline theories. The results show that: 1) Most of the urban green space distribution presents an unbalanced phenomenon, and it does not match with the population distribution; 2) We found some differences in the accessibility of the population with different attributes and opportunities to use and enjoy the urban green spaces, mainly due to: the dual social and spatial attributes of the residents and the serious stratum differentiation generated were the internal causes; the residential space differentiation and the pursuit of economic and real estate development were the direct causes; and unreasonable planning, in regard to the fact that government policies did not give consideration to efficiency and fairness, was also an important factor.
基金Under the auspices of National Natural Science Foundation of China(No.41471140,41771178)Liaoning Province Outstanding Youth Program(No.LJQ2015058)
文摘This paper studies the relationship between accessibility and housing prices in Dalian by using an improved geographically weighted regression model and house prices, traffic, remote sensing images, etc. Multi-source data improves the accuracy of the spatial differentiation that reflects the impact of traffic accessibility on house prices. The results are as follows: first, the average house price is 12 436 yuan(RMB)/m^2, and reveals a declining trend from coastal areas to inland areas. The exception was Guilin Street, which demonstrates a local peak of house prices that decreases from the center of the street to its periphery. Second, the accessibility value is 33 minutes on average, excluding northern and eastern fringe areas, which was over 50 minutes. Third, the significant spatial correlation coefficient between accessibility and house prices is 0.423, and the coefficient increases in the southeastern direction. The strongest impact of accessibility on house prices is in the southeastern coast, and can be seen in the Lehua, Yingke, and Hushan communities, while the weakest impact is in the northwestern fringe, and can be seen in the Yingchengzi, Xixiaomo, and Daheishi community areas.
基金Sponsored by National Nature Science Foundation of China(41671158)Ph.D.Programs Foundation of Ministry of Education(20132136110001)Program for Liaoning Excellent Talents in University(LR2013050)
文摘Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition. Based on priority evaluation data obtained from dianping.com(Liaoning Province), and the established criteria for assessing pseudo habitat environment quality, this study uses the entropy method to calculate and rank the comprehensive score of each merchant's word-of-mouth evaluation. It analyzes the spatial pattern and differentiation characteristics of pseudo environment quality, as well. Results show that:(1) The overall quality scores of the pseudo living environment in southern, central, and northern Liaoning are higher than those in eastern and western area. The pseudo habitat environment quality score of coastal cities is relatively higher than that of inland cities; and that of cities with high resource depletion is lower.(2) Parent-child activity, learning and training, and sports & health have significant impact, whereas hotels and peripheral tours have less impact on the pseudo habitat environment quality in Liaoning province. The overall pseudo habitat environment quality score of a city is inversely proportional to the total scores of various indicators in the city.(3) The spatial distribution of pseudo habitat quality in Liaoning Province shows a "saddle" structure. The spatial heterogeneity of the pseudo habitat environment in central and northern Liaoning areas is larger than that in eastern, western, and southern areas of Liaoning. The degree of quality of the pseudo habitat environment is proportional to the size of its spatial differentiation degree in total.
