The agglomeration pattern of automotive service industry and spatial correlation between traffic in Zhengzhou's urban area

doi:10.3969/j.issn.1004-9479.2022.05.2020654

Abstract

Abstract:

With the development of China's automotive industry and the increase of residents' car ownership, people's demand for automotive service is growing. Taking Zhengzhou's urban area as a case, this paper analyzed the spatial agglomeration pattern of automotive services industry and its spatial association with internal and external traffic based on the method of kernel density estimation and local Getis-ord G^* index, by using POI big data of automotive service industry. The results show that: (1) The spatial distribution of the automotive service enterprises in Zhengzhou's urban area is extremely unbalanced, and the spatial distribution difference of the number of automotive service enterprises in the streets is obvious and shows an increasing trend.(2) The spatial agglomeration characteristics of automotive service industry are obvious, it forms the double core block agglomeration in the city center, and the multicenter and axial belts agglomeration pattern in the sub-center of the marginal urban area. The two hot spots are becoming more and more prominent. (3) Different automotive service industries also show different characteristics of agglomeration trends. The specialized agglomeration advantaged areas of auto parts industry and car sales industry gradually polarize and shrink, while the specialized advantage areas of auto repair and maintenance industry and car rental industry expand to the peripheral areas of the city. (4) The convenience of urban road traffic and external traffic is an important factor affecting the spatial distribution of automotive service industry. The dominant trend of location selection of automotive service enterprises is along the axis of urban roads and adjacent to the entrance and exit of expressways. This study can provide a decision reference for the optimization of urban industrial spatial layout and functional spatial structure.

Key words: automotive service industry, Points of Interest, spatial agglomeration, spatial correlation, Zhengzhou's urban area

摘要：

随着我国汽车产业的发展和民用汽车拥有量的增加，人们对汽车服务的需求越来越大。以郑州市主城区为例，基于核密度估计法、局部Getis-Ord G^*指数，采用汽车服务业电子地图兴趣点（POI）大数据对郑州市主城区汽车服务业的空间集聚格局及其与内外交通的空间关系进行分析。研究表明：（1）郑州市主城区汽车服务业空间分布极不均衡，街道之间汽车服务企业数量的空间分布差异明显，且呈不断拉大的趋势；（2）汽车服务业空间集聚特征显著，空间上形成了中心城区双核块状集聚、边缘城区次中心分散发展的多中心、轴带状集聚格局，两大集聚热点片区越来越突出；（3）各细分行业也表现出不同程度的集聚趋势，汽车配件和汽车销售行业的专业化集聚区域逐步收缩，而汽车维修养护和汽车租赁业的专业化区域则大幅度地向城市外围地区拓展；（4）城市内部交通和对外交通便捷性是影响汽车服务业空间布局的重要因素，沿城市道路的轴线分布和沿高速公路出入口邻近分布是汽车服务企业区位选择的主导趋势。

关键词: 汽车服务业, POI, 空间集聚, 空间关联, 郑州市主城区

Deyou MENG, Chao GAO, Cengceng CHEN. The agglomeration pattern of automotive service industry and spatial correlation between traffic in Zhengzhou's urban area[J]. World Regional Studies, 2022, 31(5): 1021-1033.

孟德友, 高超, 陈层层. 郑州市主城区汽车服务业集聚及与交通的空间关联[J]. 世界地理研究, 2022, 31(5): 1021-1033.

Figures/Tables 10

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区域	2010年		2013年		2016年		2019年
区域	数量/家	比重/%	数量/家	比重/%	数量/家	比重/%	数量/家	比重/%
二七区	344	9.68	569	7.15	777	7.58	1263	8.05
管城回族区	1086	30.56	1146	14.40	2197	21.43	3250	20.70
惠济区	194	5.46	397	4.99	619	6.04	1310	8.35
金水区	1080	30.39	3885	48.81	4481	43.70	6010	38.29
郑东新区	200	5.63	723	9.08	831	8.10	1382	8.80
高新区	103	2.90	219	2.75	297	2.90	668	4.26
经开区	72	2.03	183	2.30	233	2.27	603	3.84
中原区	475	13.37	838	10.53	818	7.98	1211	7.71

区域	2010年		2013年		2016年		2019年
区域	数量/家	比重/%	数量/家	比重/%	数量/家	比重/%	数量/家	比重/%
二七区	344	9.68	569	7.15	777	7.58	1263	8.05
管城回族区	1086	30.56	1146	14.40	2197	21.43	3250	20.70
惠济区	194	5.46	397	4.99	619	6.04	1310	8.35
金水区	1080	30.39	3885	48.81	4481	43.70	6010	38.29
郑东新区	200	5.63	723	9.08	831	8.10	1382	8.80
高新区	103	2.90	219	2.75	297	2.90	668	4.26
经开区	72	2.03	183	2.30	233	2.27	603	3.84
中原区	475	13.37	838	10.53	818	7.98	1211	7.71

指数	年份
指数	2010年	2013年	2016年	2019年
平均最近邻指数	0.279	0.226	0.265	0.239
Z值	-82.234	-132.166	-142.355	-182.345
P值	0.000	0.000	0.000	0.000
地理集中指数	18.451	26.734	21.850	24.975

指数	年份
指数	2010年	2013年	2016年	2019年
平均最近邻指数	0.279	0.226	0.265	0.239
Z值	-82.234	-132.166	-142.355	-182.345
P值	0.000	0.000	0.000	0.000
地理集中指数	18.451	26.734	21.850	24.975

行业	市辖区				街道
行业	2010年	2013年	2016年	2019年	2010年	2013年	2016年	2019年
汽车销售	0.863	1.035	0.930	0.921	1.580	1.876	2.092	2.084
汽车维修养护	0.862	1.255	0.979	0.762	1.169	2.278	2.059	1.710
汽车配件	1.674	1.378	1.609	1.505	2.692	2.671	3.217	3.328
汽车租赁	1.416	1.144	1.059	0.739	1.099	0.848	0.875	0.929