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All issues Volume 165 (2020) E3S Web Conf., 165 (2020) 04016 References
Open Access
Issue
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
Article Number 04016
Number of page(s) 5
Section Civil, Architectural Engineering
DOI https://doi.org/10.1051/e3sconf/202016504016
Published online 01 May 2020
  1. Gao Chunliang, Wei Houkai. Research on the Prediction of Urbanization Trend in China [J]. Contemporary Economic Sciences, 2013, 35 (04): 85-90 + 127. [Google Scholar]
  2. Gao Wenxiu, Fan Xiang, Zheng Fen, Yang Xiaochun. Spatial layout analysis of comprehensive park and its effective service area [J]. Urban Planning, 2017, 41 (11): 97-101 + 110. [Google Scholar]
  3. Guo Song, Fan Zeyuan, He Jiaqi, Li Zailiu. Park Accessibility of Xixiang Tang District in Nanning Based on Network Analysis Method [J]. China Garden, 2019, 35 (01): 68-72. [Google Scholar]
  4. Zhou X, Parves Rana M. Social benefits of urban green space: A conceptual framework of valuation and accessibility measure-ments [J]. Management of Environmental Quality: An International Journal, 2012, 23 (2): 173-189. [Google Scholar]
  5. Chen Qiuxiao, Hou Yan, Wu Shuang. Evaluation of the accessibility of green space in Shaoxing City Park from the perspective of fair opportunity [J]. 2016, 36(3): 375-383. [Chen Qiuxiao, Hou Yan,Wu Shuang. Accessibility evaluation of urban parkgreen space in Shaoxing from the perspective of opportunity equity. Scientia Geographica Sinica, 2016, 36(3): 375-383. [Google Scholar]
  6. Fan P, Xu L, Yue W et al. Accessibility of public urban greenspace in an urban periphery: The case of Shanghai [J]. Land-scape and Urban Planning, 2017 (165): 177-192. [Google Scholar]
  7. Sang Lijie, Shu Yonggang, Zhu Weiping, et al. Accessibility Analysis of Hangzhou Urban Recreational Green Space [Google Scholar]
  8. Progress in Geographical Sciences, 2013, 32 (6): 950-957. [Sang Lijie, ShuYonggang, Zhu Weiping et al. Analysis of accessibility of urbanleisure green space in Hangzhou. Progress in Geography, 2013, 32 (6) : 950-957.] [Google Scholar]
  9. Yang J, Li C, Li Y et al. Urban green space, uneven develop-ment and accessibility: A case of Dalian's Xigang District [J]. Chinese Geographical Science, 2015, 25 (5): 644-656. [Google Scholar]
  10. Sotoudehnia F, Comber L. Measuring perceived accessibility tourban green space: An integration of GIS and participatory map [J]. Agile, 2011, April 18-22. [Google Scholar]
  11. Coombes E, Jones A.P., Hillsdon M. The relationship of physicalactivity and overweight to objectively measured green space ac-cessibility and use [J]. Social Science & Medicine, 2010, 70 (6): 816-822. [Google Scholar]
  12. Dai D. Racial / ethnic and socioeconomic disparities in urbangreen space accessibility: Where to intervene?[J]. Landscape & Urban Planning, 2011, 102 (4): 234-244. [Google Scholar]
  13. Wendel HEW, Zarger RK, Mihelcic JR. Accessibility and us-ability: Green space preferences, perceptions, and barriersin arapidly urbanizing city in Latin America [J]. Landscape & Ur-ban Planning, 2012, 107 (3): 272-282. [Google Scholar]
  14. Christophercoutts, Markhorner, Timothychapin. Using geo-graphical information system to model the effects of greenspace accessibility on mortalityin Florida [J]. Geocarto International, 2010, 25 (6): 471-484. [Google Scholar]
  15. Yin Haiwei, Kong Fanhua, Zong Yueguang. Evaluation of Urban Green Space Accessibility and Fairness [J].Acta Ecologica Sinica, 2008,28 (7): 3375-3383. [Yin Haiwei, Kong Fanhua, Zong Yaoguang. Evaluation of accessibility and fairness of ur-ban green space. Acta Ecologica Sinica, 2008, 28 (7): 3375-3383.] [Google Scholar]
  16. Yang Jun, Li Chuang, Li Yonghua, et al. Research on network reachability and service area green space spatial differentiation [J]. Bulletin of Surveying and Mapping, 2015 (3): 40-43. [Yang Jun, Li Chuang, Li Yonghua et al. Research on spatial differentiation of network accessibility and service scope. Bulletin of Surveying and Map-ping, 2015 (3): 40-43.] [Google Scholar]
  17. Wei Ye, Xiu Chunliang, Gao Rui, et al. 2014. Green space accessibility evaluation in Shenyang City based on Gaussian two-step mobile search method [J]. Advances in Geographical Sciences, 2014, 33 (4), 479-487. [Google Scholar]
  18. Wei Ye, Xiu Chunliang, Gao Rui et al. Evaluation of greenspace accessibility of Shenyang using Gaussian based 2-stepfloating catchment area method. Progress in Geography, 2014,33 (4), 479-487. [Google Scholar]
  19. Chen Ziyue. Study on the Spatialization of Demographic Data Based on the Classification of Residential Areas [J].Geographical Spatial Information, 2016, 14 (09): 47-48 + 52 + 7. [19] Zeng Zhan. Urban Population Spatial Distribution Research on Models and Empirical Methods [D].Fuzhou University, 2014. [Google Scholar]
  20. Xiao Jinghao. Evaluation of park green space service level and fairness based on big data——Taking Liuzhou City as an example [C]. China Urban Planning Institute, Dongguan Municipal People's Government. Rational Planning for Sustainable Development-2017 China Urban Planning Annual Meeting Proceedings (05 Urban Planning New Technology Application). China Urban Planning Society, Dongguan Municipal People's Government: China Urban Planning Society, 2017: 235-242. [Google Scholar]
  21. Ma Lin, Lu Yuqi. Study on the urban green space landscape accessibility based on the road network structure: Taking the green space of Nanjing's main urban park as an example [J]. Chinese Garden, 2011, 27 (7): 92-96. [Google Scholar]
  22. Zhang Guangliang. Research on Urban Park Green Space Accessibility Based on GIS Network Analysis [D]. Zhengzhou: Henan Agricultural University, 2012. [Google Scholar]

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