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Airport Role Orientation Based on Improved K-means Clustering Algorithm

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Advanced Hybrid Information Processing (ADHIP 2019)

Abstract

This paper aims to provide an insight into the roles of the different types of airports in China by improved K-means clustering algorithm. The first part of the work analyzed the characteristics of Chinese airline network and pointed out that the key to construct hub-and-spoke airline network is determining the function of each airport. The index system of airport function orientation was established from airport operation index, airport hinterland index and airport growth index. The airports in China were classified into four classes by the K-means clustering algorithm. In order to improve reliability of clustering algorithm, a formula was used to normalize the value of each index, and the airports were clustered by improved K-means clustering algorithm. The algorithm was simulated by the MATLAB and the clustered results show the airports have obvious hierarchy.

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References

  1. Wang, J., Mo, H., Wang, F., Jin, F.: Exploring the network structure and nodal centrality of China’s air transport network: a complex network approach. J. Transp. Geogr. 19(4), 712–721 (2011)

    Article  Google Scholar 

  2. Lin, C.C.: The integrated secondary route network design model in the hierarchical hub-and-spoke network for dual express services. Int. J. Prod. Econ. 123(1), 20–30 (2010)

    Article  Google Scholar 

  3. Adikariwattage, V., de Barros, A.G.: Airport classification criteria based on passenger characteristics and terminal size. J. Air Transp. Manag. 24(1), 36–41 (2012)

    Article  Google Scholar 

  4. Malighetti, P., Paleari, S., Redondi, R.: Airport classification and functionality within the European network. Probl. Perspect. Manag. 7(1), 183–196 (2009)

    Google Scholar 

  5. Déniza, H.R., Suau-Sanchezb, P., Voltes-Dortac, A.: Classifying airports according to their hub dimensions: an application to the US domestic network. J. Transp. Geogr. 33(12), 188–195 (2013)

    Article  Google Scholar 

  6. Latha, M., Surya, R.: Brain tumour detection using neural network classifier and k-means clustering algorithm for classification and segmentation. Integr. Intell. Res. 01(06), 27–32 (2017)

    Google Scholar 

  7. Aliahmadipour, L., Torra, V., Eslami, E.: On hesitant fuzzy clustering and clustering of hesitant fuzzy data. In: Torra, V., Dahlbom, A., Narukawa, Y. (eds.) Fuzzy Sets, Rough Sets, Multisets and Clustering. SCI, vol. 671, pp. 157–168. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-47557-8_10

    Chapter  Google Scholar 

  8. Na, S., Xumin, L., Yong, G.: Research on k-means clustering algorithm: an improved k-means clustering algorithm. In: 2010 Third International Symposium on Intelligent Information Technology and Security Informatics, pp. 63–67, 2–4 April 2010

    Google Scholar 

  9. Emre Celebi, M., Kingravi, H.A., Vela, P.A.: A comparative study of efficient initialization methods for the k-means clustering algorithm. Expert Syst. Appl. 40(1), 200–210 (2013)

    Article  Google Scholar 

  10. Zahra, S., Ghazanfar, M., Khalid, A., Prugel-Bennett, A.: Novel centroid selection approaches for K-Means-clustering based recommender systems. Inf. Sci. 320(1), 156–189 (2015)

    Article  Google Scholar 

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Acknowledgements

The Chinese National Natural Science Foundation 71571182, 41501430 and National Science for Distinguished Young Scholars (61603396) supported this work. In addition, the Central University Project (3122016A002) also supported the thesis.

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Authors

Corresponding author

Correspondence to Qingjun Xia .

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Appendix: Index Value of Airports

Appendix: Index Value of Airports

Airport IATA

Passenger throughput (person-time)

Cargo throughput (ton)

Sorties of taking-off and landing

Number of navigable city

Airspace class

Number of airport stand

The tertiary sector GDP (billion ¥)

Per capita disposable income (Â¥)

Urban population (million)

PEK

83,712,355

1,843,681.1

567,757

236

4F

314

14987

40321

2114

TSN

10,035,833

214,419.8

100,729

74

4E

47

6905

32658

1472

TYN

7,803,574

44,354.4

76,546

50

4E

43

1322

24000

427

SJW

5,110,536

42,976.2

51,980

51

4E

69

1960

23000

1027

NAY

4,455,263

37,091.9

38,661

41

4C

25

14987

40321

2114

HET

6,150,282

32,599.9

62,799

63

4E

32

1709

25464

294

DSN

1,731,882

9,455.7

29,584

41

4D

11

1489

36132

200

BAV

1,708,846

10,011.6

14,965

19

4D

7

1325

18311

273

HLD

1,287,483

5,590.8

12,685

20

4C

11

119

10072

35

YCU

1,010,070

2,818.7

9,507

22

4D

10

438

20718

519

CIF

660,704

1,801.4

7,533

42

3C

3

567

10337

460

CIH

574,080

919.5

7,230

12

4C

6

410

22803

336

TGO

572,719

1,810.7

8,722

10

3C

3

432

21009

313

HLH

266,262

1,649.2

3,532

29

3C

5

52

8421

32

ZQZ

24,021

0.7

544

6

4C

3

521

20470

467

DAT

358,910

1,965.1

14,121

3

4C

3

457

21430

335

WUA

470,152

1,438.6

5,864

7

3C

5

189

24565

54

XIL

465,949

2,074.0

18,086

2

3C

6

78

27135

18

HDG

230,087

66.4

8,534

10

4D

6

1320

23936

979

SHP

207,947

919.6

3,014

20

4D

6

467

18013

300

ERL

98,102

295.3

2,321

2

4C

2

47

25801

7.4

AXF

2,053

269

106

3

3C

2

49

24448

14

EJN

897

390

48

2

3C

2

19

17293

3.2

AHF

879

786

74

2

3C

2

13

23867

2.5

TVS

180,660

1,212.6

1,967

11

4C

4

1958

26647

737

CAN

52,450,262

1,309,745.5

394,403

136

4E

122

9964

42,066

1292.68

SZX

32,268,457

913,472.1

257,446

102

4F

94

8198

44,650

1062

CSX

16,007,212

117,588.7

137,843

90

4E

42

2915

33,662

722

WUH

15,706,063

129,450.3

148,524

91

4F

78

4320

29,821

1012

SYX

12,866,869

62,945.5

90,748

80

4E

41

250

20,472

69

HAK

11,935,470

111,813.6

94,436

61

4E

33

629

24,363

217

CGO

13,139,994

255,712.7

127,835

52

4E

43

2585

26,600

919

LYA

594,781

1,421.6

8695

15

4D

9

1254

24820

656

JGS

444,378

1,831.0

4,870

7

4C

2

27

10309

16.3

NNY

405,929

821.2

33,328

10

4D

10

784

19543

1026

JDZ

405,021

631.0

3,604

15

4C

3

232

8912

159

CGD

282,885

185.3

80,554

8

4C

6

336

9629

576

FUG

352,329

316.6

11,427

9

4C

4

353

16686

760

NNG

8,157,331

86,949.6

71,408

61

4E

26

1343

20622

786

KHN

6,811,028

40,389.0

64,029

52

4E

47

1194

26293

504

KWL

5,875,327

32,985.8

50,696

38

4F

9

566

19882

474

ZUH

2,894,357

22,667.1

44,725

40

4F

21

770

36375

158

SWA

2,686,007

17,303.8

32,391

31

4D

21

437

18311

641

YIC

83,110

19.9

1,044

5

4C

2

407

14333

545

YIH

900,076

4,628.4

39,444

20

4E

11

1126

26955

408

LZH

733,774

4,576.8

10,706

17

4D

10

576

24293

376

ZHA

691,443

2,663.4

12,180

10

4D

21

824

22371

710

XFN

601,029

2,151.7

55,014

10

4D

11

844

19329

555

ENH

288,449

623.8

2,652

6

4C

8

221

16639

330

WUZ

50,589

40.0

19,049

8

4C

5

221

22619

463

FUO

161,953

1,614.1

1,238

1

4C

5

2531

38040

726

JIU

118,353

578.0

1,848

4

4C

3

573

23362

476

MXZ

84,150

63.1

2,774

3

4C

2

320

19753

524

JUZ

222,071

771.4

1,782

8

4C

3

418

16732

212

CGD

29,301

9.8

694

4

4C

2

465

19325

525

HJJ

133,584

17.6

2,818

7

4C

4

469

18154

477

BHY

848,338

4,813.5

11,412

10

4D

8

219

25029

154

PVG

47,189,849

2,928,527.1

371,190

153

4F

218

13445

43,851

2500

SHA

35,599,643

435,115.9

243,916

91

4E

66

13445

43,851

2500

KOW

626,849

3,795.5

7,038

12

4C

4

638

20566

842

LCX

43,928

4893

538

3

4C

3

44

11152

25

HGH

22,114,103

368,095.3

190,639

104

4F

115

4416

39310

880

XMN

19,753,016

299,490.8

166,837

75

4E

74

1557

41,360

367

NKG

15,011,792

255,788.6

134,913

85

4E

34

4357

39,881

818

TAO

14,516,669

186,195.7

129,751

57

4E

56

4013

35,227

871

FOC

8,925,923

110,239.4

83,406

66

4E

39

2143

32,130

728

TNA

8,139,087

72,560.9

80,746

46

4E

42

2892

35,648

694

HFE

5,628,013

39,984.2

52,872

50

4E

17

1836

27,775

761

NGB

5,459,333

64,247.3

46,468

50

4E

16

3111

41,657

763

WNZ

6,595,929

59,787.1

58,867

67

4E

25

1873

37,852

807

YNT

3,635,467

45,319.1

38,252

29

4E

12

2118

32,930

702

AQG

117,563

127.9

2,720

7

4C

2

450

22683

531

WUX

3,590,188

87,641.6

31,844

36

4E

15

2151

38,999

628

JJN

2,634,423

38,771.7

25,102

30

4D

15

1820

35,430

829

CZX

1,526,605

15,250.7

19,348

23

4D

20

1972

36946

468

WEH

1,145,846

5,683.6

13,263

15

4D

10

1020

31442

280

DYG

1,006,334

2,301.7

8,557

29

4D

10

228

16580

165

WUS

787,455

2,392.1

8,094

30

4C

24

44

24776

23

LYI

767,844

4,100.4

8,539

10

4C

3

1134

27511

1008

YIW

1,161,463

3,452.7

10,632

19

4C

5

504

48962

131

XUZ

1,112,811

6,298.0

37,822

20

4D

9

1885

32581

856

NTG

675,660

21,593.4

30,749

10

4D

3

2070

31059

729

YTY

612,899

3,076.2

15,943

18

4C

13

1334

30425

908

HYN

610,844

6,912.1

5,208

17

4C

8

1583

39123

600

HSN

479,138

286.2

12,839

6

4D

12

424

37646

114

LYG

563,584

1,462.9

8,668

15

4D

5

750

26600

440

TXN

552,359

2,520.7

6,508

19

4D

8

199

23356

135

HIA

404,776

2,529.2

40,594

16

4C

9

884

25456

480

YNZ

354,251

3,034.6

3,668

15

4C

8

1350

24119

721

JNG

334,598

935.4

3,634

12

4C

6

2892

25454

814

DOY

165,606

570.4

15,850

8

4C

7

875

33983

206

WEF

133,815

16,579.3

3,611

13

4D

7

1690

28386

918

JUH

62,337

321

800

6

4C

5

169

6456

140

CTU

33,444,618

501,391.2

250,532

138

4F

200

4574

29,968

1417

KMG

29,688,297

293,627.7

255,546

116

4F

49

1703

28,269

726

CKG

25,272,039

280,149.8

214,574

106

4E

85

5256

25,150

2970

KWE

10,472,589

77,425.2

93,646

67

4E

10

1155

23,376

468

LJG

3,999,422

6,356.1

37,015

19

4C

19

56

21,075

124

XNN

3,236,417

19,940.1

28,792

39

4D

49

428

19,444

222

JHG

3,050,170

6,580.9

29,164

21

4D

18

109

20,048

113

LXA

2,296,958

20,967.7

21,035

20

4E

14

125

21,421

55

JZH

1,350,872

7583.2

13,592

4

4C

5

0.5

13782

2.5

LUM

929,540

4,437.7

9,248

7

4C

9

89

18311

121

MIG

917,325

4,856.3

8693

23

4D

11

582

23100

464

TCZ

556,769

410.3

6,254

5

4C

3

43

20549

66.8

NGQ

27,852

71.0

558

20

4D

4

10

26955

28

DIG

501,754

686.2

5,606

8

4D

4

66

23902

40

LZO

439,626

2,399.8

5,124

12

4C

6

301

22821

425

YBP

434,022

2,497.8

4,506

7

4C

6

330

22718

446

NAO

319,384

2,102.0

27,764

7

4C

5

343

10302

630

WXN

318,835

1,791.0

4,902

7

4C

5

281

21823

158

XIC

317,745

1,502.9

3,658

3

4D

7

149

20052

74.4

ZYI

309,531

0.2

3,444

16

4C

5

633

16588

612

DLU

501,128

569.0

5,923

6

4C

4

279

23236

345

LZY

258,645

803.2

2,970

3

4C

2

45

17847

72

DAX

248,727

1,597.5

2,874

5

4C

2

411

18915

549

BSD

238,265

354.3

2,822

2

4C

2

181

21700

250

LNJ

199,651

819.7

2,066

1

4C

2

166

9066

243

SYM

220,043

633.8

2,817

1

4C

3

169

16491

254

BPX

148,178

525.9

1,592

3

4C

4

36

4033

112

GYS

122,858

165.7

1,482

4

4D

8

167

18713

253

YUS

112,998

756.0

1,274

2

4C

3

9

18893

37

JIQ

95,602

59.5

1,774

6

4C

9

40

18254

53.6

BFJ

75,679

39.4

1,056

7

4C

4

396

19851

653

ZAT

72,051

104.4

886

1

4C

2

131

18724

521

HZH

44,324

17.9

1038

3

4C

3

15

13860

53

PZI

63,823

193.0

744

2

4C

4

176

13860

123

ACX

122,938

52.8

3,176

5

4C

3

117

21360

83

TEN

141,787

43.7

2,542

5

4C

7

244

18457

209

AVA

62,478

41.9

2,058

6

4C

3

204

9573

229

WNH

48,199

64.0

882

2

4C

3

203

21080

351

JIC

55,602

5.9

1,910

3

4C

2

100

23295

46

LLB

17,661

36

334

5

4C

3

295

19981

397

RIK

27,322

61.8

358

1

4C

3

50

18075

142

AEB

42,234

0.0

808

2

3C

2

225

23305

347

KJH

7,650

0.0

156

6

4C

2

90

18890

106

DCY

25,900

89

272

2

4C

4

0.4

15311

3

XIY

26,044,673

178,857.5

226,041

113

4F

59

2549

33,100

846

URC

15,359,170

153,275.3

135,874

81

4E

93

1443

20,780

350

LHW

5,649,605

41,752.4

51,799

30

4D

23

547

20,767

362

INC

4,247,843

29,105.0

39,230

40

4D

9

530

23,776

203

UYN

1,191,031

2,875.3

13,924

14

4C

3

722

24140

335

KHG

1,149,428

6,280.5

10,862

8

4D

9

241

10722

397

KRL

731,522

3,066.6

8,097

7

4D

5

98

13812

60

AKU

631,843

1,802.4

7,554

4

4C

2

84

21840

237

YIN

581,589

2,000.7

7,340

2

4C

10

45

17905

58

HTN

494,824

1,544.5

4,816

2

4D

3

66

6927

201

JGN

353,505

1,000.0

4,429

11

3C

4

133

24294

23

DNH

348,734

465.6

5,155

8

4C

5

31

11929

18

AAT

188,154

247.2

2,860

1

3C

2

132

18427

60

ENY

180,664

154.1

2,456

4

4C

6

541

24998

227

HMI

180,614

218.6

2,676

3

4C

4

107

10163

57

KJI

100,208

1.8

1,330

3

4C

2

7

8350

6.5

IQN

81,476

3.9

7,442

3

3C

4

148

16661

221

GOQ

101,321

511.1

1,265

3

4D

2

116

23432

30

GXH

736

0.4

52

2

4C

3

56

15658

69

KCA

213,325

267.7

2,988

1

4C

2

51

20287

47

ZHY

71,390

69.9

46,520

3

4C

2

12

19810

118

KRY

63,960

58.0

25,675

1

4C

10

97

25249

38

NLT

61,016

30.6

1,016

1

4C

4

28

15430

29

TCG

55,351

7.8

1,392

1

4C

2

150

11134

121

YZY

41,976

36.1

945

3

4C

2

132

26955

119

TLQ

18,876

0.0

599

1

4D

15

62

19943

62

BPL

48,672

27.2

2,954

1

4C

4

37

20186

26

THQ

15,062

10.3

647

1

4C

3

192

17453

326

GYU

25,633

20.1

25,037

3

4C

2

90

18789

123

NBS

316,465

76.1

3,954

8

4C

6

268

25555

129

JNZ

190,521

1,339.2

2,142

2

4C

3

538

10946

312

NZH

303,226

2,314.5

3,617

6

3C

2

138

25800

30

NDG

257,289

930.8

2,150

4

4C

7

510

16700

536

DDG

170,632

1,031.2

1,482

7

4E

6

447

22000

244

OHE

118,435

218.5

2,426

4

4C

2

3

6989

15

HEK

94,956

421.5

2,035

3

4C

2

135

12100

167

LDS

80,624

48.4

1,726

6

4C

2

88

15370

114

CHG

72,855

9.2

2190

3

4C

3

824

25578

304

RLK

189,622

986.8

2804

4

4C

3

141

10717

166

SHE

15106952

136066.1

92300

98

4E

67

3114

29,340

822

DLC

14083131

132330.413

107709

96

4E

42

3281

30,150

669

HRB

10,259,908

92,309.6

84532

83

4E

41

2404

25,322

993

AOG

6,361

0

134

2

4D

13

1099

27097

364

CNI

3,798

0

489

1

3C

1

31

26301

8

CGQ

6,733,076

68,031.6

56,850

44

4E

32

2013

25,720

790

YNJ

1,114,829

5,787.9

9,060

10

4C

3

165

22013

65

DQA

541,420

2,592.7

5,596

9

4C

4

650

28500

282

JGD

101,864

7.0

2,826

6

4C

2

16

19529

15.6

JMU

416,926

742.3

4,767

4

4C

3

324

17863

255

JXA

145,634

269.5

2,385

3

4C

2

356

18100

186

IQM

0

0

17

2

3C

3

4

22100

7

MDG

446644

1230

4716

12

4C

3

413

14900

80.45

KGT

38317

0

646

2

4C

3

73

21418

113.78

AKA

0

0

230

1

3C

3

193

20734

263

YIE

56022

74

852

2

4C

2

8.8

13103

5.6

HZG

91

0

0

3

4C

5

352

14008

386

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Xia, Q., Zhang, Z., Zhang, B. (2019). Airport Role Orientation Based on Improved K-means Clustering Algorithm. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_30

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