Table 5 Comprehensive evaluation and coupling coordination degree of ICH resources and tourism industry

From: The spatial differentiation mechanism of intangible cultural heritage and its integration with tourism development based on explainable machine learning and coupled coordination models: a case study of the Jiang-Zhe-Hu in China

City

T

I

C

D

CCE

Changzhou

0.112

0.081

0.987

0.308

Slight Imbalance

Huai’an

0.020

0.062

0.854

0.187

Severe Imbalance

Lianyungang

0.033

0.053

0.971

0.204

Moderate Imbalance

Nanjing

0.318

0.180

0.961

0.489

On the Verge of Imbalance

Nantong

0.055

0.082

0.981

0.260

Moderate Imbalance

Suzhou

0.380

0.267

0.985

0.564

Barely Coordination

Suqian

0.008

0.060

0.641

0.148

Severe Imbalance

Taizhou

0.019

0.030

0.974

0.155

Severe Imbalance

Wuxi

0.170

0.118

0.984

0.377

Slight Imbalance

Xuzhou

0.048

0.100

0.935

0.262

Moderate Imbalance

Yancheng

0.036

0.075

0.936

0.228

Moderate Imbalance

Yangzhou

0.072

0.153

0.932

0.324

Slight Imbalance

Zhenjiang

0.023

0.069

0.868

0.200

Moderate Imbalance

Hangzhou

0.220

0.491

0.925

0.573

Barely Coordination

Huzhou

0.044

0.149

0.836

0.284

Moderate Imbalance

Jiaxing

0.092

0.170

0.954

0.353

Slight Imbalance

Jinhua

0.082

0.362

0.777

0.415

On the Verge of Imbalance

Lishui

0.028

0.556

0.427

0.353

Slight Imbalance

Ningbo

0.111

0.246

0.925

0.406

On the Verge of Imbalance

Quzhou

0.013

0.229

0.454

0.235

Moderate Imbalance

Shaoxing

0.061

0.232

0.811

0.344

Slight Imbalance

Taizhou

0.069

0.234

0.839

0.357

Slight Imbalance

Wenzhou

0.075

0.469

0.690

0.434

On the Verge of Imbalance

Zhoushan

0.022

0.028

0.993

0.158

Severe Imbalance

Shanghai

1.000

0.520

0.949

0.849

Good Coordination

  1. T Tourism development; I ICH development; CCE coupling coordination evaluation
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