中国居民工作日与节假日的城际出行网络异同性研究

doi:10.11821/dlxb202004012

Abstract

Abstract:

The differences of residents' travel purpose, travel time and regional attribute will lead to the heterogeneity of travel behavior. Working days and holidays have completely different time attributes, and the travel purpose is quite different. Therefore, comparing them has become an important way to reveal the inter-city travel network from different perspectives. Using migration data inferred from passenger travels during working days in April (11-15 April, 2016) and National Day golden week (1-7 October, 2016) from Tencent Location Big Data, this paper made a comparison of the spatial structure of inter-city travel network during weekdays and holiday in China. The results are as follows: (1) The average daily inter-city residents' travel scale during the golden week was significantly higher than that during the weekdays, but the travel distance and network clustering degree were significantly lower than the latter. (2) The two networks form three types of cross-regional group, adjacent group and provincial group. During the golden week, the number of cross-regional groups is significantly lower compared with weekdays, the number of regional and local hub cities is more than that of weekdays, and the number of adjacent groups and provincial groups is significantly higher than that of weekdays. (3) On weekdays, the three major cities of Beijing, Shanghai and Guangzhou have a prominent core position, and the function of tourism and transportation hub is highlighted in the golden week. (4) Weekday intercity network to cross-regional links, and the golden week is showing a clear spatial proximity effect, and formed a provincial capital as the center, the provincial travel core-peripheral mode. The structure and difference of inter-city travel network in the two periods are influenced by many factors, including geographical proximity, administrative division (proximity of cultural system), travel distance and travel purpose.

Key words: Tencent location big data, weekdays, National Day golden week, inter-city travel network, China

LI Tao, WANG Jiao'e, GAO Xingchuan. Comparison of inter-city travel network during weekdays and holiday in China[J].Acta Geographica Sinica, 2020, 75(4): 833-848.

Figures/Tables 14

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References 32

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时间	节点数	边数	联系总值	平均值	最大值	最小值	CV
工作日	362	8430	34817749	4130	191590	7	2.22
黄金周	362	8588	72681843	8463	263724	7	1.94

区域	时段	Zipf参数(q)	拟合优度(R²)	加权度中心性均值(WDC_i)	加权优势度均值(DIT_i)	节点均衡度系数(ODI_c)
全国	工作日	1.1378	0.8205	185 200	3.91	0.84
全国	黄金周	1.0988	0.6418	386 605	5.09	0.88
东部	工作日	1.2663	0.8494	305 006	6.48	0.80
东部	黄金周	1.1219	0.7443	581 193	7.67	0.85
中部	工作日	0.8950	0.8172	130 740	2.72	0.89
中部	黄金周	0.8503	0.8125	322 530	4.21	0.91
西部	工作日	1.1941	0.7860	126 287	2.65	0.79
西部	黄金周	1.2662	0.7458	265 015	3.47	0.83

位序	加权节点优势度(DIT_i)				变化量
位序	工作日	DIT_i	黄金周	DIT_i	黄金周—工作日
1	北京	100.00	北京	100.00	武汉	10.17
2	上海	78.19	上海	75.13	成都	10.06
3	深圳	66.88	深圳	61.44	西安	8.57
4	广州	66.65	广州	61.02	长沙	5.44
5	重庆	51.30	成都	54.94	青岛	5.42
6	成都	44.88	重庆	52.50	哈尔滨	5.31
7	东莞	27.72	杭州	35.20	合肥	5.27
8	杭州	25.82	西安	29.75	南昌	5.22
9	郑州	25.10	郑州	28.85	苏州	4.59
10	武汉	25.03	武汉	26.78	南京	4.35
11	南京	22.43	东莞	26.39	赣州	4.11
12	西安	21.18	苏州	25.36	惠州	4.07
13	苏州	20.77	长沙	23.94	大连	3.98
14	长沙	18.50	南京	23.57	郑州	3.75
15	佛山	15.91	天津	18.52	衡阳	3.68
16	南宁	15.24	佛山	17.87	沈阳	3.64
17	天津	15.20	昆明	16.60	烟台	3.53
18	济南	14.22	济南	16.59	盐城	3.44
19	昆明	13.86	合肥	16.44	清远	3.39
20	贵阳	12.56	南宁	16.30	天津	3.32

Comparison of inter-city travel network during weekdays and holiday in China

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