[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set ...[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set up according to statistics of public green area per capita in Xi’an City during 1996 and 2005, on this basis, the development trend of green area per capita in Xi’an City until 2015 were analyzed in case of no any changing factors or conditions. [Result]Grey forecasting model was established as, (t = 0, 1, …, n); model parameters as a = - 0.031 71, u = 4.139 17. After residual error test and posterior-variance-test, the precision of this model is proved fairly good. [Conclusions]According to this model, public green area per capita in Xi’an City will achieve 7.66 m2 by 2015, which is still far away from the livable city index (16 m2 per capita) and should be paid more attention by the local government, the construction of urban green areas should be further enhanced, more vegetations should be cultivated so as to improve the urban green coverage ratio.展开更多
A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and adva...A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.展开更多
文摘[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set up according to statistics of public green area per capita in Xi’an City during 1996 and 2005, on this basis, the development trend of green area per capita in Xi’an City until 2015 were analyzed in case of no any changing factors or conditions. [Result]Grey forecasting model was established as, (t = 0, 1, …, n); model parameters as a = - 0.031 71, u = 4.139 17. After residual error test and posterior-variance-test, the precision of this model is proved fairly good. [Conclusions]According to this model, public green area per capita in Xi’an City will achieve 7.66 m2 by 2015, which is still far away from the livable city index (16 m2 per capita) and should be paid more attention by the local government, the construction of urban green areas should be further enhanced, more vegetations should be cultivated so as to improve the urban green coverage ratio.
基金Under the auspices of National Natural Science Foundation of China(No.41831284,41501120)Special Scientific Research Project of Education Department of Shaanxi Provincial Government(No.18JK0649)Scientific Research Project of Xi’an International Studies University(No.18XWC24)
文摘A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.
