多元交通流视角下的空间级联系统比较与地理空间约束

doi:10.11821/dlxb201912005

Abstract

Abstract:

Transportation connection has always been one of the important perspectives of studying spatial cascading systems and urban systems. Based on the timetable data in 2018 of inter-city coach, high-speed train and aviation, this paper builds networks of the three modes of transportation in China. Through the methods of the city-pair connectivity and community detection, this paper compares the spatial structure and linkage systems of multi-traffic flow network and reveals the geospatial constraints. The research results show that: (1) Different modes of transportation are suitable for portraying urban systems on different spatial and administrative scales. Inter-city coaches are constrained by the provincial administrative boundaries. High-speed train network shows the effect of corridors especially along the main trunks. The aviation network reflects the spatial relationship at the national scale. (2) From the perspective of the direct accessibility, there is a large spatial overlap between inter-city coaches and high-speed trains, and the market of inter-city coaches is obviously squeezed in recent years. For air transport, its frequency advantage mainly concentrates on the city-pairs with a long distance. The competition and complementarity of the three modes of transportation have a great impact on the urban system and are useful for the understanding of the spatial cascading system. (3) Geographical space, infrastructure space and administrative space constraint and management system are important factors affecting the transportation networks. Inter-city coach network and high-speed train network are obviously affected by distance attenuation effects, and they present significant community structures in the two networks, but their communities have different spatial characteristics. However, air transport does not follow the constraint of distance attenuation, and there is not an obvious community structure in the network. Factors related to the passenger transport market, such as social and economic links and tourism resources, play the important roles in the aviation network structure.

Key words: road transportation, high-speed train, air transport, urban system, geographic space, infrastructure space

WANG Jiao'e, DU Delin, JIN Fengjun. Comparison of spatial structure and linkage systems and geographic constraints: A perspective of multiple traffic flows[J].Acta Geographica Sinica, 2019, 74(12): 2482-2494.

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交通网络	城市数量 (个)	城市发送/到达量(趟/日)				城市对数量 (对)	城市对运输联系(趟/日)
交通网络	城市数量 (个)	平均值	最大值	最小值	标准差	城市对数量 (对)	平均值	最大值	最小值	标准差
长途汽车	361	544.4	6962	1	726.16	9208	10.7	780	0.25	30.90
高铁列车	229	164.0	1128	4	175.12	6856	23.2	694	1	42.84
航空运输	192	119.2	1452	1	230.42	2237	5.1	106	0.14	8.46

位序	城市			城市对
位序	长途汽车	高铁列车	航空运输	长途汽车	高铁列车	航空运输
1	深圳	广州	上海	广州—深圳	南京—无锡	北京—上海
2	广州	南京	北京	漳州—厦门	上海—南京	上海—深圳
3	武汉	上海	广州	广州—东莞	上海—苏州	上海—广州
4	东莞	武汉	西安	深圳—东莞	南京—苏州	北京—成都
5	南京	无锡	昆明	广州—佛山	南京—常州	北京—深圳
6	上海	长沙	成都	深圳—惠州	上海—无锡	上海—成都
7	郑州	北京	深圳	广州—珠海	无锡—常州	上海—重庆
8	南宁	杭州	重庆	厦门—泉州	广州—深圳	北京—广州
9	中山	深圳	杭州	深圳—佛山	上海—常州	上海—青岛
10	珠海	常州	南京	广州—中山	无锡—苏州	昆明—西双版纳

交通网络(RSL)		第一层级(≥ 5)	第二层级(3~5)	第三层级(1~3)	第四层级(0.5~1)	第五层级(0~0.5)
长途汽车	城市对(个)	4(0.04)	12(0.13)	162(1.76)	260(2.82)	8770(95.25)
	运输班次(趟/日)	2457(2.50)	4569(4.65)	25527(25.96)	18335(18.65)	47434(48.24)
高铁列车	城市对(个)	0(0.00)	7(0.10)	105(1.53)	341(4.94)	6403(93.43)
	运输班次(趟/日)	0(0.00)	4109(2.58)	24499(15.38)	37734(23.69)	92940(58.35)
航空运输	城市对(个)	10(0.45)	28(1.25)	224(10.01)	250(11.18)	1725(77.11)
	运输班次(趟/日)	747(6.53)	1207(10.55)	4052(35.41)	1998(17.46)	3438(30.05)

交通网络	重叠网络				相异网络
交通网络	长途汽车与高铁列车	长途汽车与航空运输	高铁列车与航空运输	三者重叠	长途汽车与高铁列车	长途汽车与航空运输	高铁列车与航空运输	三者完全相异
长途汽车	54.0	11.5	-	5.7	46.0	88.5	-	40.2
高铁列车	76.7	-	10.7	9.1	23.3	-	89.3	21.8
航空运输	-	70.7	54.2	44.6	-	29.3	45.8	19.7

Comparison of spatial structure and linkage systems and geographic constraints: A perspective of multiple traffic flows

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