Journal of Geographical Sciences >
China’s corridors-in-the-sky design and space-time congestion identification and the influence of air routes’ traffic flow
Dong Yaqing (1990─), PhD Candidate, specialized in regional development and information economic geography.E-mail: dongyaq@126.com |
Received date: 2018-07-19
Accepted date: 2018-09-20
Online published: 2019-12-06
Supported by
National Natural Science Foundation of China, No(41671121)
Copyright
With rapid development of air transportation, the airspace structure of the future will need to be flexible and dynamic to accommodate the increase in traffic demand. The corridors-in-the-sky has become a new technology to support the full exploitation and utilization of airspace resources. This paper proposes a method of designing corridor, identifying congestion state, and analyzing the influence of air routes’ traffic flow. From this, we have reached a number of conclusions. (1) The congestion periods present the multi-peak “wavy” scattered distributions and the peaks back-end agglomeration characteristics in the whole day. (2) The congestion segments present the structural characteristics of unbalanced coverage and concentrated distribution to the crossing points. The corridors with high congestion level present as an italic “N-shaped” frame, which presents incomplete penetration of short segments. (3) For the temporal and spatial interaction, there are two types of congestion segments, and there are some common congestion periods in different congestion segments of multiple corridors. The high-density air route plays a relatively decisive role in corridor congestion, and the influence of two directions is unbalanced. This research can provide a basis for the dynamic evaluation of China’s airspace resources and corridors construction in the future.
DONG Yaqing , LU Zi , LIU Yuan , ZHANG Qiuluan , WU Dianshuang . China’s corridors-in-the-sky design and space-time congestion identification and the influence of air routes’ traffic flow[J]. Journal of Geographical Sciences, 2019 , 29(12) : 1999 -2014 . DOI: 10.1007/s11442-019-1701-3
Figure 1 China’s corridors and the percentage of extra flight distance of route-attendeesNote: Shanghai Hongqiao Airport is recorded as Shanghai, Shanghai Pudong Airport is recorded as Shanghai*, Beijing Capital Airport is Beijing, Beijing Nanyuan Airport is Beijing* |
Figure 2 Spatial position of China’s corridors and route-attendees |
Figure 3 Space-time map of China’s corridors and frequency/number of the hot grids and grids |
Figure 4 Coverage distribution of congestion periods and congestion segments in China’s corridors |
Table 1 Coverage characteristics of congestion periods and congestion segments in China’s corridors |
Corridor | Identification | Period | Segment (nmi) | Corridor | Identification | Period | Segment (nmi) |
---|---|---|---|---|---|---|---|
A | 4 | 21:18-21:38 | 390 (67 away from Rizhao)-510 (65 away from Yancheng) | H | 1 | 11:00-20:56 | 10 (Shenzhen)- 725 (Chengdu) |
3 | 16:48-17:12 | 310 (232 away from Tianjin)- 390 (67 away from Rizhao) | I | 2 | 17:04-18:02 | 110 (75 away from Hongqiao)- 280 (245 away from Hongqiao) | |
2 | 12:48-14:08 | 270 (192 away from Tianjin)- 570 (35 away from Nantong) | 1 | 8:38-9:08 | 190 (155 away from Hongqiao)- 350 (315 away from Hongqiao) | ||
1 | 8:26-10:06 | 220 (142 away from Tianjin)- 410 (91 away from Rizhao) | J | 1 | 17:52-22:04 | 60 (50 away from Beijing)- 640 (11 away from Hangzhou) | |
B | 1 | 8:36-9:14 | 290 (84 away from Quzhou)- 410 (115 away from Wuyishan) | K | 2 | 21:48-22:40 | 190 (43 away from Nantong)- 350 (203 away from Nantong) |
C | 1 | 22:24-23:28 | 980 (10 away from Taiyuan)-1140 (159 away from Taiyuan) | 1 | 11:08-11:44 | 1130 (370 away from Chifeng)- 1210 (Manzhouli) | |
D | 2 | 21:10-21:56 | 120 (21 away from Hangzhou)- 360 (63 away from Wuyishan) | L | 1 | 21:26-21:58 | 1200 (245 away from Changzhi)- 1360 (11 away from Chongqing) |
1 | 17:04-18:16 | 360 (63 away from Wuyishan)- 500 (203 away from Wuyishan) | M | 3 | 21:08-22:50 | 160 (37 away from Changzhou)- 660 (324 away from Fuyang) | |
E | 1 | 20:00-20:28 | 1450 (75 away from Jinggangshan)-1590 (Guangzhou) | 2 | 11:48-13:04 | 380 (44 away from Fuyang)-600 (264 away from Fuyang) | |
F | 2 | 17:04-23:04 | 80 (45 away from Hongqiao)-890 (73 away from Nanchong) | 1 | 6:42-10:38 | 10 (Pudong)- 690 (354 away from Fuyang) | |
1 | 7:50-14:22 | 80 (45 away from Hongqiao)- 940 (7 away from Chengdu) | N | 2 | 17:04-20:38 | 90 (27 away from Guangzhou)- 580 (Chongqing) | |
G | 2 | 18:06-23:46 | 50 (40 away from Hongqiao)-440 (Xiamen) | 1 | 7:54-12:38 | 90 (27 away from Guangzhou)- 520 (457 away from Guangzhou) | |
1 | 6:54-14:36 | 10 (Hongqiao)- 440 (Xiamen) |
Figure 5 Congestion periods distribution of China’s corridors |
Figure 6 Congestion segments distribution of China’s corridors |
Figure 7 Congestion segments distribution of China’s corridors based on overlapping periods |
Figure 8 Congestion coverage and trajectories of all arrival and departure flights of the corridors |
Figure 9 Air routes’ scale value and aggregation value of the corridors |
1 |
|
2 |
|
3 |
|
4 |
|
5 |
|
6 |
|
7 |
|
8 |
|
9 |
|
10 |
|
11 |
|
12 |
|
13 |
|
14 |
|
15 |
|
16 |
|
17 |
|
18 |
|
19 |
|
20 |
|
21 |
|
22 |
|
23 |
|
24 |
|
25 |
|
/
〈 | 〉 |