Characteristics and influencing factors of comprehensive passenger transport network in Pearl River Delta Urban Agglomeration from the perspective of

doi:10.3969/j.issn.1004-9479.2024.09.20222395

Abstract

Abstract:

As traditional geographical distances diminish, new patterns of regional spatial configuration continuously emerge and develop, with the dominance of flow space shaping the new landscape of regional spatial networks. From the viewpoint of passenger flows, and with the help of the social network analysis method, the present paper constructed a comprehensive passenger flow matrix based on passenger frequency data. It analyzed the characteristics of the passenger transport network of the Pearl River Delta Urban Agglomeration from three aspects, namely network nodes, connection flow lines, and the overall network. and then explored its influencing factors. The results showed that: (1) From the point of network nodes, the Pearl River Delta urban agglomeration passenger transportation network shows the characteristics of multiple levels and regional differentiation as a whole, plays a leading role as the first level of Guangzhou. (2) From the point of connection flow lines, passenger flows between cities are led by Guangzhou and Shenzhen, which plays a core leading role in their hinterland. The connection between cities is strong along the axis from northwest to southeast along the Pearl River. (3) From the perspective of the overall network, its development level is relatively high in the Pearl River Delta Urban Agglomeration, and the network centralization degree is relatively high as well. (4) From the perspective of influencing factors, policy and natural factors will have an impact on passenger flow. Through quantitative analysis of economic and social factors, it is found that R&D input, GDP, fixed asset investment and urbanization rate show a positive impact on passenger network, while resident population and foreign direct investment show a negative impact on passenger network.

Key words: flow space, characteristics of passenger transport network, influencing factors, social network analysis, Pearl River Delta urban agglomeration

摘要：

随着传统地缘联系距离的缩短，新的地域空间格局不断形成与发展，流空间主导着区域空间网络的新格局。基于网络爬取数据，构建综合交通客运人流矩阵，运用社会网络分析方法，从网络节点、联系流线、整体网络三个方面对珠三角城市群综合客运网络特征进行分析，并对其影响因素进行探析。研究发现：（1）从网络节点来看，珠三角城市群综合客运网络整体呈现出多层级和区域差异化的特征，作为第一层级的广州起引领带头作用；（2）从联系流线来看，整体呈现“双核心+邻城联系”的特征，城市间联系以广州、深圳为首，在各自腹地起着核心引领作用，沿珠江方向自西北到东南轴线联系较强；（3）从整体网络来看，珠三角城市群整体网络化发展水平较高，网络集权程度偏高；（4）从影响因素来看，政策及自然因素会对客运人流产生影响，通过对经济社会因素进行定量分析，发现R&D投入、GDP、固定资产投资和城镇化率对客运网络呈现正向影响，常住人口和外商直接投资对客运网络呈现负向影响。

关键词: 流空间, 客运网络特征, 影响因素, 社会网络分析, 珠三角城市群

Yabo ZHAO, Liuqian HUANG, Die HU, Ruiyang CHEN, Dixiang XIE, Jianhong FAN. Characteristics and influencing factors of comprehensive passenger transport network in Pearl River Delta Urban Agglomeration from the perspective of "flow space"[J]. World Regional Studies, 2024, 33(9): 163-175.

赵亚博, 黄柳倩, 胡蝶, 陈瑞炀, 谢涤湘, 范建红. “流空间”视角下珠三角城市群综合客运网络特征及影响因素[J]. 世界地理研究, 2024, 33(9): 163-175.

Figures/Tables 9

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城市	广州	深圳	珠海	佛山	惠州	东莞	中山	江门	肇庆
广州	0	6 011.40	1 627.98	2 143.98	863.01	2 154.30	1 176.48	1 044.90	3 126.96
深圳	6 142.98	0	255.42	788.19	1 682.16	2 025.30	145.77	82.56	1 486.08
珠海	1 493.82	301.86	0	95.46	18.06	36.12	1 508.01	20.64	34.83
佛山	2 617.41	878.49	81.27	0	49.02	241.23	136.74	45.15	2 578.71
惠州	610.17	1 969.83	33.54	70.95	0	2 083.35	49.02	25.80	34.83
东莞	2 116.89	1 922.10	59.34	99.33	1 320.96	0	49.02	49.02	85.14
中山	1 062.96	190.92	1 720.86	110.94	21.93	96.75	0	25.80	33.54
江门	1 074.57	38.70	41.28	94.17	12.90	32.25	0.00	0	25.80
肇庆	2 983.77	1 498.98	28.38	3 246.93	6.45	91.59	36.12	12.90	0

城市	广州	深圳	珠海	佛山	惠州	东莞	中山	江门	肇庆
广州	0	6 011.40	1 627.98	2 143.98	863.01	2 154.30	1 176.48	1 044.90	3 126.96
深圳	6 142.98	0	255.42	788.19	1 682.16	2 025.30	145.77	82.56	1 486.08
珠海	1 493.82	301.86	0	95.46	18.06	36.12	1 508.01	20.64	34.83
佛山	2 617.41	878.49	81.27	0	49.02	241.23	136.74	45.15	2 578.71
惠州	610.17	1 969.83	33.54	70.95	0	2 083.35	49.02	25.80	34.83
东莞	2 116.89	1 922.10	59.34	99.33	1 320.96	0	49.02	49.02	85.14
中山	1 062.96	190.92	1 720.86	110.94	21.93	96.75	0	25.80	33.54
江门	1 074.57	38.70	41.28	94.17	12.90	32.25	0.00	0	25.80
肇庆	2 983.77	1 498.98	28.38	3 246.93	6.45	91.59	36.12	12.90	0

城市	流入/万人次	流出/万人次	客运总量/万人次	层级
广州	18 102.57	18 149.01	36 251.58	一
深圳	12 812.28	12 608.46	25 420.74	一
肇庆	7 405.89	7 905.12	15 311.01	二
佛山	6 649.95	6 628.02	13 277.97
东莞	6 760.89	5 701.8	12 462.69
惠州	3 974.49	4 877.49	8 851.98	三
珠海	3 848.07	3 508.8	7 356.87
中山	3 101.16	3 263.7	6 364.86
江门	1 306.77	1 319.67	2 626.44	四

城市	流入/万人次	流出/万人次	客运总量/万人次	层级
广州	18 102.57	18 149.01	36 251.58	一
深圳	12 812.28	12 608.46	25 420.74	一
肇庆	7 405.89	7 905.12	15 311.01	二
佛山	6 649.95	6 628.02	13 277.97
东莞	6 760.89	5 701.8	12 462.69
惠州	3 974.49	4 877.49	8 851.98	三
珠海	3 848.07	3 508.8	7 356.87
中山	3 101.16	3 263.7	6 364.86
江门	1 306.77	1 319.67	2 626.44	四

排序	城市1	城市2	客运量/万人次	排序	城市1	城市2	客运量/万人次
1	广州市	深圳市	12 154.38	6	深圳市	东莞市	3 947.4
2	广州市	肇庆市	6 110.73	7	深圳市	惠州市	3 651.99
3	佛山市	肇庆市	5 825.64	8	惠州市	东莞市	3 404.31
4	广州市	佛山市	4 761.39	9	珠海市	中山市	3 228.87
5	广州市	东莞市	4 271.19	10	广州市	珠海市	3 121.8