西安市文化娱乐业的空间格局及热点区模式研究

doi:10.11821/dlxb201404010

摘要/Abstract

摘要： 采用矢量数据符号法、探索性空间数据分析法（ESDA）和Kriging空间插值法等3 种空间分析方法，分别从规模等级、集聚程度、热点区及模式等方面对2011 年西安市文化娱乐业的空间格局特征展开研究。主要结论：① 从数量规模上来看，西安市的文化娱乐产业在空间上呈现出“南密北疏，西密东疏，内密外疏”的整体特征，文化娱乐场所主要集聚在以钟楼为圆心，以钟楼至曲江新区的直线距离（约7 km）为半径的圈层内；各类文化娱乐场所的空间分布大致符合文化娱乐业的整体空间特征，但又表现出一定的特异性；② 从空间集散上来看，高高集聚区主要连续分布在城市南部的传统人口和城市产业集聚区；低低集聚区主要分散分布在城市开发程度低的边缘区，及城市内部的特殊区域；③ 通过空间插值分析，可识别出西安市文化娱乐业的4 个空间集聚热点区，综合分析各热点区软硬件条件，可将其归纳为基于传统城市中心的商贸旅游型热点区、基于文化产业集聚的文教游憩型热点区、基于高新技术产业集聚的科技商务型热点区和多重资源推动下的城市新区型热点区4 种模式。本文的研究结论将有利于从空间的视角来探讨城市新兴产业的区位规律和布局偏好，在实践中将为城市文化娱乐业的合理布局和规划提供参考。

关键词: 文化娱乐业, 热点区, 西安, 空间格局, 空间模式

Abstract: Adopting three spatial analysis methods, including vector data symbolization, exploratory spatial data analysis (ESDA) and Kriging spatial interpolations, this paper researches on spatial distribution characteristics of entertainment industry of Xi'an city in 2011, respectively from aspects of scale grades, degree of concentration, hot zones and their spatial patterns. The results show that: (1) the overall characteristic of entertainment industry is that the south, the west, and the inner of Xi'an are high-density areas, and the north, the east, and the outer parts are low-density areas. The entertainment venues are mainly concentrated in the circle which is centered on Bell Tower and taking the straight-line distance between Bell Tower and Qujiang New District (about 7 km) as the radius. The spatial distribution of sub-categories of entertainment venues are broadly in line with the overall spatial characteristics, but show some specificity. (2) High-high areas are mainly continuously located in the traditional habitations and urban-industry flourishing areas in the south of Xi'an, while the low-low areas are mainly dispersed in urban fringe areas, or in some special areas within the city. (3) Four spatial aggregated hot zones of entertainment industry can be built by spatial interpolation analysis. Based on comprehensive analysis of regional hardware and software conditions, these hot zones can be identified into four patterns: business and tourism hot zone in traditional urban center, educational and recreation hot zone based on aggregated cultural industry, technology and high-end business hot zone based on aggregated new technological industry, and new urban district hot zone pushed by multiple resources. Conclusions of this study will be beneficial to explore location laws and preferences of emerging industries from spatial perspective, and could provide references for rational distribution and planning of entertainment industries in practice.

Key words: spatial pattern, spatial distribution characteristics, entertainment industry, hot zones, Xi’an

薛东前, 黄晶, 马蓓蓓, 康亚丽. 西安市文化娱乐业的空间格局及热点区模式研究[J]. 地理学报, 2014, 69(4): 541-552.

XUE Dongqian, HUANG Jing, MA Beibei, KANG Yali. Spatial distribution characteristics and hot zone patterns of entertainment industry in Xi’an[J]. Acta Geographica Sinica, 2014, 69(4): 541-552.

参考文献

[1] Jörg Finsterwalder, Volker G Kuppelwieser, Matthew de Villiers. The effects of film trailers on shaping consumer expectations in the entertainment industry: A qualitative analysis. Journal of Retailing and Consumer Services, 2012, 19 (6): 589-595.
[2] Eugene Martin Christiansen. Book Review of the Entertainment Industry Economics: A Guide for Financial Analysis, Third Edition. Journal of Gambling Studies, 1995, 11(4): 381-385.
[3] Anonymous. Health and safety boost for music and entertainment industry. The Safety and Health Practitioner, 2013, 31 (3):30-31.
[4] Anonymous. Entertainment industry foundation, stand up to cancer co-founder Laura Ziskin dies at age 61. Technology & Business Journal, 2011, 17(5): 431-438.
[5] Anonymous. Research and markets: global animation and design software market in entertainment industry 2008-2012. Computer Weekly News, 2010, 31(6): 178-187.
[6] Josh Glick. American showman: Samuel "Roxy" Rothafel and the birth of the entertainment industry, 1908-1935. Business History Review, 2013, 87(2): 364-367.
[7] Alan McKee. The power of art, the power of entertainment. Media, Culture & Society, 2013, 35(6): 759-770.
[8] Peng Feilan, Ran Wang, Hua Yang. Data mining applied research on the entertainment industry using hadoop. International Conference on Emergency Management and Management Sciences. ICEMMS, 2012: 944-947.
[9] Teschke Kay, Chow Yat, Van Netten Chris. Exposures to atmospheric effects in the entertainment industry. Journal of Occupational and Environmental Hygiene, 2005, 2(5): 277-284.
[10] Kooijman D. A third revolution in retail: The Dutch approach to leisure and urban entertainment. Journal of Leisure Property, 2002, 2(3): 214-229.
[11] Rekha Datta. Globalized arts: The entertainment economy and cultural identity. International Studies Review, 2012, 14 (3): 455-457.
[12] Hsing Kenneth Cheng, Juan Feng, Gary J Koehler et al. Entertainment without borders: The impact of digital technologies on government cultural policy. Management Information Systems, 2011, 27(3): 269-302.
[13] Asmita Shukla, Narendra K Sharma, Sanjeev Swami. Web site classification on information and entertainment profiles. Journal of Advances in Management Research, 2011, 8(1): 148-157.
[14] JinaH Yoo, Yan Tian. Effects of entertainment education: Exposure to entertainment television programs and organ donation intention. Health Communication, 2011, 26(2): 147-158.
[15] Yuan Feng, Wei Yehua, Chen Wen, et al. Spatial agglomeration and new firm formation in the information and communication technology industry in Suzhou. Acta Geographica Sinica, 2010, 65(2): 153-163. [袁丰, 魏也华, 陈雯, 等. 苏州市区信息通讯企业空间集聚与新企业选址. 地理学报, 2010, 65(2): 153-163.]
[16] Meng Xiaocheng, Shi Xiaoyu. The spatial distribution of FDI manufactures in Shenzhen city. City Planning Review, 2003, 27(8): 19-25. [孟晓晨, 石晓宇. 深圳“三资”制造业企业空间分布特征与机理. 城市规划, 2003, 27(8): 19-25.]
[17] Yang Wuyang. The retailing and services center and network of Beijing: Then, now and long before. Acta Geographica Sinica, 1994, 49(1): 9-17. [杨吾扬. 北京市零售商业与服务业中心和网点的过去、现在和未来. 地理学报, 1994, 49(1): 9-17.]
[18] Ning Yuemin, Huang Shengli. The hierarchical system and its changing characteristic of the retail centers in Shanghai city. Areal Research and Development, 2005, 12(4): 15-19. [宁越敏, 黄胜利. 上海市区商业中心的等级体系及其变迁特征. 地域研究与开发, 2005, 12(4): 15-19.]
[19] Wu Zongqing, Chai Yanwei. Concerns of study on spatial structure of urban commercial activity. Economic Geography, 2001, 20(1): 115-120. [仵宗卿, 柴彦威. 论城市商业活动空间结构研究的几个问题. 经济地理, 2001, 20 (1): 115-120.]
[20] Guan Chiming, Cui Gonghao. Study on new commercial spaces and types in Chinese cities. Urban Problems, 2006, (9): 12-17. [管驰明, 崔功豪. 城市新商业空间的区位和类型探析. 城市问题, 2006, (9): 12-17.]
[21] Sang Yiming, Xiao Ling. A rewiew of the theory and research method in commercial geography. Human Geography, 2003, 18(6): 15-17. [桑义明. 商业地理研究的理论与方法回顾. 人文地理, 2003, 18(6): 15-17.]
[22] Zhao Guangxia. Talking about China's entertainment industry. Journal of Ningxia Teachers University, 2010, 31(1): 155-156. [赵广霞. 我国的文化娱乐业浅谈. 宁夏师范学院学报, 2010, 31(1): 155-156.]
[23] Yuan Junping. Current situation and opportunity of culture and recreation industry of China. Journal of Chongqing Technology and Business University, 2003, 20(3): 158-160. [袁俊萍. 我国文化娱乐业的现状及出路. 重庆工商大学学报, 2003, 20(3): 158-160.]
[24] Fu Caiwu. The development of cultural recreation in modern China and the generation of public spheres: A case study of Hankou. Literature & Art Studies, 2007, 6(10): 72-81. [傅才武. 中国近现代文化娱乐业的发展与公共领域的生成: 以汉口为中心的研究. 文艺研究, 2007, 6(10): 72-81.]
[25] Song Qihui. Chinese culture and the entertainment industry competitiveness//Chinese Cultural Market Development Report. Beijing: Culture and Art Publishing House, 2009. [宋奇慧. 中国文化娱乐业竞争力研究//中国文化市场发展报告. 北京: 文化艺术出版社, 2009.]
[26] Zhang Yang. Dalian leisure entertainment industry situation investigation and development strategy research. Journal of Economic Research Guide, 2011, 3(19): 148-151. [张杨. 大连市休闲娱乐产业现状调查与发展策略研究. 经济研究导刊, 2011, 3(19): 148-151.]
[27] Zhang Youling, Zhang Xi. The strategic position of the international metropolis in Xi'an. Journal of Economic Forum, 2011, (6): 69-73. [张佑林, 张晞. 西安国际化大都市的战略地位. 经济论坛, 2011, (6): 69-73.]
[28] Yan Xiaoli. Research on the present situation and future development of Xi'an cultural industry. Xi'an University of Architecture and Technology, 2007, 26(1): 36-40. [鄢小莉. 关于西安市未来产业发展方向的研究. 西安建筑科技大学学报, 2007, 26 (1): 36-40.]
[29] Wu Qianru, Peng Zhongqiang. Report on Development of China's Cultural Industry. Anhui Literature, 2010, (5): 262-263. [吴倩茹, 彭中强. 中国文化产业发展报告. 安徽文学, 2010, (5): 262-263.]
[30] The 2011 Report on Development of Xi'an's Cultural Industry. Xi'an: Xi'an Publishing House, 2011. [2011 西安文化产业发展报告. 西安: 西安出版社, 2011.]
[31] Xue Dongqian, Liu Hong, Ma Beibei. Characteristics of spatial distribution of cultural industries in urban area of Xi'an city. Scientia Geographica Sinica, 2011, 31(7): 775-780. [薛东前, 刘虹, 马蓓蓓. 西安市文化产业空间分布特征. 地理科学, 2011, 31(7): 775-780.]
[32] Wang Hui, Tian Pingping, Liu Hong et al. Development of urban CBD system in Xi'an: Characters and tendency. Scientia Geographica Sinica, 2007, 27(1): 31-39. [王慧, 田萍萍, 刘红等. 西安市城市CBD体系发展演进的特征与趋势. 地理科学, 2007, 27(1): 31-39.]
[33] Wang Yanni, Xie Jinmei, Guo Xiang. Application of Geostatistical interpolation method in ArcGIS. Software Guide, 2008, 7(12): 36-38. [王艳妮, 谢金梅, 郭祥. ArcGIS 中的地统计克里克插值法及其应用. 软件导刊, 2008, 7(12): 36-38.]
[34] Tang Guoan, Yang Xin. The Experiments Tutorial of ArcGIS Geographic Information Systems Spatial Analysis. Beijing: Science Press, 2006. [汤国安, 杨昕. ArcGIS地理信息系统空间分析实验教程. 北京: 科学出版社, 2006.]
[35] Haining R, Wise S, Ma J. Designing and implementing soft are for spatial statistical analysis in a GIS environment. Journal of Geographical System, 2000, 2(3): 257-286.
[36] Moran P. The interpretation of statistical maps. Journal of the Royal Statistical Society, 1948, (10): 243-251.
[37] Liu Qing, Li Guicai, Tong De et al. The spatial pattern and influence factors of high-tech firms in Shenzhen based on ESDA. Economic Geography, 2011, 31(6): 926-933. [刘青, 李贵才, 仝德等. 基于ESDA的深圳市高新技术企业空间格局及影响因素. 经济地理, 2011, 31(6): 926-933.]
[38] Chen Yanguang. Reconstructing the mathematical process of spatial autocorrelation based on Moran's statistics. Geographical Research, 2009, 28(6): 1449-1463. [陈彦光. 基于Moran 统计量的空间自相关理论发展和方法改进. 地理研究, 2009, 28(6): 1449-1463.]
[39] Xuan Guofu., Xu Jiangang, Zhao Jing. An analysis of urban social space based on ESDA-a case study of the central urban district in Shanghai. Scientia Geographica Sinica, 2010, 30(1): 22-29. [宣国富, 徐建刚, 赵静. 基于ESDA的城市社会空间研究: 以上海市中心城区为例. 地理科学, 2010, 30(1): 22-29.]
[40] Anselin L. Local indicators of spatial association: LISA. Geographical Analysis, 1995, 27(2): 93-115.
[41] Anselin L. Interactive techniques and exploratory spatial data analysis//Geographical Information Systems. 2nd ed. New York: John Wiley and Sons Press, 2002: 253-266.
[42] Xu Xueqiang, Zhou Yixing, Ning Yuemin. Urban Geography. Beijing: Higher Education Press, 1997: 71. [许学强, 周一星, 宁越敏. 城市地理学. 北京: 高等教育出版社, 1997: 71.]