高铁网络化下东北地区旅游空间结构动态演变分析

doi:10.13249/j.cnki.sgs.2019.04.006

Abstract

Abstract:

The gradual improvement of the feeder network makes the rapid transportation network of northeast basically form. This article uses GIS spatial analysis method to measure the influence of high-speed rail on accessibility of urban tourism traffic in Northeast China. Then, it analyzes the new characteristics and changes of the city tourism market under the high-speed rail network in Northeast China. Results found that: 1) High speed rail has greatly improved the accessibility of tourist traffic in cities of Northeast China, and the accessibility of space has obvious "high speed corridor effect". In the process of network formation, the change of accessibility spatial pattern has changed from the polarization characteristic of main road operation period to the balanced characteristics of the perfect line of the branch line, and the development pattern of the northeast "all dimensional tourism" has begun to take shape; 2) The main road formation period, high iron to siphon effect is dominant, exacerbating the imbalance in the development of the tourism market of Northeast cities, Harbin Tourism Economic Belt gradually formed; in the improvement of the branch period, high-speed rail have the diffusion effects become dominant, balanced development situation began to highlight; 3) High speed rail has promoted the development of urbanization in Northeast China, the pattern of city tour and surrounding tour will be changed, and the mode of inter provincial tour and inter regional tour will gradually be popular. At the same time, the high-speed rail has greatly promoted the development of the “fast-food” tourism market, the mode of short-term tourism development model will become the new darling of the high-speed rail era.

Key words: traffic accessibility, tourism spatial pattern, trunk, branch line, Northeast China

CLC Number:

F592.99

Shaobo Wang, Xiaolong Luo, Jianke Guo, Peigang Zhang, Zongni Gu. Dynamic Evolution of Tourism Spatial Structure Under the Improvement of the High Speed Rail Network in Northeast China[J].SCIENTIA GEOGRAPHICA SINICA, 2019, 39(4): 568-577.

Figures/Tables 7

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城市	主干道期可达性变化（%）		支线完善期可达性变化（%）		城市	主干道期可达性变化（%）		支线完善期可达性变化（%）
城市	区内	区际	区内	区际	城市	区内	区际	区内	区际
鞍山市	85.78	125.74	4.44	40.28	锦州市	64.45	89.56	41.36	74.17
白城市	28.93	53.92	40.32	74.62	辽阳市	81.93	109.67	6.24	37.50
白山市	29.65	45.12	35.92	80.57	辽源市	53.29	90.15	27.35	61.15
本溪市	70.88	105.24	10.70	45.85	牡丹江市	64.64	106.14	16.25	46.62
朝阳市	46.82	66.20	35.16	68.65	盘锦市	74.71	107.39	18.85	51.10
赤峰市	34.29	46.07	54.03	64.11	七台河市	54.91	90.10	31.85	70.62
大连市	95.94	137.37	11.95	46.10	齐齐哈尔市	49.33	84.67	67.75	117.44
大庆市	55.46	94.75	52.12	96.16	沈阳市	80.04	116.63	11.26	55.66
大兴安岭地区	32.58	63.20	13.25	20.85	双鸭山市	57.20	93.27	30.28	68.86
丹东市	54.89	78.64	37.97	64.11	四平市	77.18	125.35	20.26	55.39
抚顺市	72.79	99.33	10.77	44.55	松原市	38.36	70.61	30.37	65.24
阜新市	48.68	71.90	18.99	48.52	绥化市	73.55	118.83	40.28	79.49
哈尔滨市	91.02	148.66	20.83	52.05	铁岭市	75.51	113.24	14.36	57.62
鹤岗市	57.93	94.66	33.41	73.57	通化市	34.16	53.03	20.41	57.75
黑河市	45.37	77.60	18.56	38.08	通辽市	17.97	62.77	69.60	68.25
呼伦贝尔市	22.48	52.54	30.46	37.25	兴安盟	26.33	49.13	61.54	87.97
葫芦岛市	60.09	88.79	39.97	67.57	延吉市	30.63	56.40	60.32	88.93
鸡西市	55.33	91.61	27.26	62.46	伊春市	67.63	110.18	15.82	48.61
吉林市	50.99	88.26	42.53	85.51	营口市	84.14	117.54	11.31	43.67
佳木斯市	61.49	99.80	34.36	74.96	长春市	74.62	124.63	22.95	56.71

时期	标度区	回归方程	q	R²
无高铁期	标度区一	LnP=3.820-0.054LgK	0.054	0.989
	标度区二	LnP=4.629-1.395LgK	1.395	0.960
	标度区三	LnP=5.619-1.711LgK	1.717	0.939
主干线期	标度区一	LnP=4.550-1.848 LgK	1.848	0.969
主干线期	标度区二	LnP=6.049-2.358 LgK	2.358	0.935
支线完善期	标度区一	LnP=4.752-0.894LgK	0.894	0.969
支线完善期	标度区二	LnP=6.817-2.675LgK	1.675	0.913

Dynamic Evolution of Tourism Spatial Structure Under the Improvement of the High Speed Rail Network in Northeast China

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城市	短期游线路变化（个）		城市	短期游线路变化（个）		城市	短期游线路变化（个）		城市	短期游线路变化（个）
城市	干线	支线	城市	干线	支线	城市	干线	支线	城市	干线	支线
哈尔滨	20	9	盘锦	12	12	鹤岗	2	23	大兴安岭	0	0
长春	17	13	本溪	10	13	锦州	6	19	阜新	3	12
吉林	14	17	大庆	16	22	牡丹江	14	15	黑河	1	13
四平	14	9	葫芦岛	7	19	沈阳	8	12	呼伦贝尔	3	10
辽源	13	15	绥化	14	21	双鸭山	2	19	鸡西	2	19
鞍山	12	11	通化	5	14	铁岭	7	12	佳木斯	1	24
松原	14	14	通辽	9	2	伊春	13	16	七台河	1	20
营口	14	11	朝阳	3	17	白城	10	18	齐齐哈尔	11	27
大连	13	12	丹东	5	8	白山	5	23	兴安盟	7	18
辽阳	11	12	抚顺	8	14	赤峰	2	9	延边	10	15

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