基于FCS框架的城市文化产业景观生态特征及网络关联

doi:10.18306/dlkxjz.2020.03.012

Abstract

Abstract:

Traditional industrial research is mostly based on the analytical paradigm of quantitative structure, ignoring patterns of industrial agglomerations. Based on the points-of-interest (POI) data of Gaode Map, this study constructed a firm-cluster-system (FCS) industrial analysis framework combining firm-cluster-system scales. From the perspective of industry classification criteria, it analyzed the geographic nesting hierarchy from micro to macro scales and divided the urban cultural industry POI into five categories: culture and arts industry, press and publishing industry, radio and television industry, sports and fitness industry, entertainment and leisure industry. Using the urban area of Jinan City as the case area, this study integrated nuclear density analysis, industrial landscape ecology model, geographic proximity index, and social network analysis methods to reveal the characteristics of cultural industry POI clustering, industrial cluster landscape, and industrial system network by using the 500 m honeycomb grid. The conclusions of this study are as follows: 1) By establishing a classification system of cultural industries based on POI data and innovatively using the location quotient model to develop research means from industrial POI to industrial landscape, the perspective of cultural industry spatial research has been expanded. 2) Jinan's cultural industry has the characteristics of continuous concentration and scattered aggregation, and there are regional heterogeneity in landscape morphological characteristics. Different industrial types are intertwined to form an ecological network, and there is a coupling relationship at the system level. The entertainment and leisure industry in Jinan has the advantage of group quantity, but the radio and television industry play the role of key species. The findings of this paper provide a basis for industrial regulation and policy optimization at different levels. This research deepens the theory and methods of industrial location analysis and expands the application of geographic big data.

Key words: points-of-interest, industrial ecology, spatial form of industrial landscape, directed social network, firm-cluster-system framework

YUAN Wenhua, LI Jianchun, QIN Xiaonan, QI Xiaoxing. Landscape ecological characteristics and network connection of urban cultural industries based on the firm-cluster-system framework[J].PROGRESS IN GEOGRAPHY, 2020, 39(3): 474-487.

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一级类	二级类	POI点分类具体情况说明	样点数	比例/%
文化艺术	A₁文化艺术表演	歌舞剧、乐团、杂技戏曲、话剧、艺术剧院等	39	0.72
	A₂图书档案	图书馆、档案馆	86	1.60
	A₃公共展馆	美术馆、科技馆、天文馆、博物馆、文化宫、纪念馆等	206	3.83
	A₄会展中心	展览馆、会展馆、会展中心	98	1.82
新闻出版	B₁新闻业	新闻采编、新闻中心、杂志社、报社	83	1.54
	B₂出版业	图书、报纸、期刊及音像制品出版机构	21	0.39
广播影视	C₁广播公司	广播电台、广播制作、互联网电台播放制作机构	14	0.26
	C₂电视	有线电视台、无线电视台、互联网电视台等	12	0.22
	C₃电影	电影制片场、电影院、影剧院等	83	1.54
	C₄影视传媒	影视制作、投资、发行、广告行业等	137	2.54
体育健身	D₁体育组织	体育服务、体育竞赛、体育保障、体育专业协会	446	8.28
	D₂体育场馆	体育馆、羽毛球场、网球场、篮球场馆、足球场、溜冰场、游泳馆、保龄球馆、乒乓球馆等	854	15.86
	D₃健身休闲	健身场所、健身中心、高尔夫球场等	186	3.45
娱乐休闲	E₁室内娱乐	娱乐场所、网吧、KTV、酒吧、游戏厅、棋牌室等	1545	28.70
	E₂游乐休闲观光	度假疗养场所、休闲场所、游乐场、垂钓园、采摘园、露营地等	291	5.40
	E₃彩票活动	体育彩票、福利彩点票及彩票投注点	1175	21.82
	E₄文化活动服务	文化活动策划公司、组织和举办文化活动团体	108	2.01

区域	NP	MPS/hm²	MSI	ED	SHDI
全市	329	310.55	1.21	22.24	1.24
二环内	47	181.04	1.25	2.77	1.74
二环外	282	332.13	1.21	19.48	1.12

文化产业类型	CA			NP			MPS/hm²			MSI			AWMPFD
文化产业类型	全市	二环内	二环外	全市	二环内	二环外	全市	二环内	二环外	全市	二环内	二环外	全市	二环内	二环外
文化艺术	6235	1429	4806	62	12	50	101	119	96	1.13	1.17	1.12	1.20	1.21	1.20
新闻出版	3053	1754	1299	26	10	16	117	175	81	1.17	1.30	1.10	1.22	1.24	1.20
广播影视	5131	1754	3377	45	7	38	114	251	89	1.15	1.36	1.11	1.22	1.25	1.20
体育健身	9613	909	8704	88	9	79	109	101	110	1.15	1.13	1.16	1.21	1.21	1.21
娱乐休闲	16108	1884	14224	93	6	87	173	314	163	1.24	1.36	1.23	1.24	1.25	1.24

起/止产业类型	文化艺术	新闻出版	广播影视	体育健身	娱乐休闲
文化艺术	—	1380.95	701.10	234.70	225.99
新闻出版	270.64^*	—	406.46^*	188.34	169.08
广播影视	323.61	1068.63^*	—	181.31^*	149.64^*
体育健身	469.21	1555.53	823.37	—	169.14
娱乐休闲	590.58	1842.93	1003.66	267.86	—
平均最小可达距离	413.51	1462.01	733.65	218.05	178.46

Landscape ecological characteristics and network connection of urban cultural industries based on the firm-cluster-system framework

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