Search Results - subject:"Multi-source"

Analysis of urban functional areas based on graph clustering neural networks

Bai, Huimin; Zhu, Xia; Liu, Yuanping; Zhang, Tiange; … - In: Journal of urban management 14 (2025) 3, pp. 642-656

Urban functional areas, as an important fundamental component of urban planning, hold significant importance for optimizing urban layouts, resource allocation, and the rational organization of socio-economic activities. Urban functional area division using traditional methods often has...

Persistent link: https://www.econbiz.de/10015458311

Identification and planning response to inefficient urban and rural construction land use under the concept of relative performance

Cheng, Yao; Zhuang, Zhicheng; Wu, Qi - In: Journal of urban management 14 (2025) 4, pp. 1218-1230

study. By integrating traditional socio-economic data with multi-source datasets such as mobile signaling and Points of …

Persistent link: https://www.econbiz.de/10015604450

Tourism ecological efficiency assessment based on multi-source data fusion and graph neural network

Lin, Luoyanzi; Lv, Jiehua - In: Administrative Sciences : open access journal 15 (2025) 9, pp. 1-25

Current research on evaluating tourism’s ecological efficiency using multi-source data fusion and graph neural networks … evaluation results. This paper introduces a new method for assessing tourism’s ecological efficiency based on multi-source data … tourism ecological efficiency score of 72. In contrast, using multi-source data fusion and GNN, the score rises to 85—an …

Persistent link: https://www.econbiz.de/10015531608

Tourism ecological efficiency assessment based on multi-source data fusion and graph neural network

Lin, Luoyanzi; Lv, Jiehua - In: Administrative Sciences : open access journal 15 (2025) 9, pp. 1-25

Current research on evaluating tourism's ecological efficiency using multi-source data fusion and graph neural networks … evaluation results. This paper introduces a new method for assessing tourism's ecological efficiency based on multi-source data … tourism ecological efficiency score of 72. In contrast, using multi-source data fusion and GNN, the score rises to 85-an …

Persistent link: https://www.econbiz.de/10015531617

Comprehensive street built environmental recognizabililty evaluation by integrating visual and spatial structural data

Liu, Yi; Yang, Yang; Dong, Qi - In: Journal of urban management 13 (2024) 4, pp. 772-786

Evaluating the recognizability of street built environments provides crucial support for urban planning, security monitoring and navigation. Although street view images (SVIs) are widely used in urban studies, it overlooks the interconnection among different locations, which can also affect...

Persistent link: https://www.econbiz.de/10015130639

Analysis of consumer behavior using an intelligent multi-source system

Mazurek, Mariusz; Hałas, Magdalena; Sikora, Janusz W.; … - In: European research studies journal : ERSJ 27 (2024), pp. 49-58

Persistent link: https://www.econbiz.de/10014543559

How does investor sentiment impact systemic risk contagion across industries? : evidence from the Chinese stock market

Li, Shaofang; Zhang, Siying; He, Jiaxin; Ren, Tingting - In: Applied economics 58 (2026) 3, pp. 517-539

Persistent link: https://www.econbiz.de/10015633580

Tourism demand interval forecasting with an intelligence optimization-based integration method

Zhou, Yilin; Li, Hengyun; Wang, Jianzhou; Yu, Yue - In: Journal of hospitality & tourism research : JHTR ; the … 50 (2026) 1, pp. 135-151

Persistent link: https://www.econbiz.de/10015604327

Sentiment polarity of transportation users' opinions : domain adaptation from multiple sources

Mehri, Banafsheh; Trepanier, Martin; Goussard, Yves - 2023

Persistent link: https://www.econbiz.de/10013538959

Does fiscal efficiency affect green total factor productivity : evidence based on spatial panel data models

Jiang, Lei; Chen, Yuan; Jiang, Yang; Zhang, Bo - In: Review of development economics : an essential resource … 29 (2025) 4, pp. 2211-2226

Persistent link: https://www.econbiz.de/10015481514