City2vec: Urban knowledge discovery based on population mobile network

Y Zhang, X Zheng, M Helbich, N Chen… - Sustainable Cities and …, 2022 - Elsevier
Due to the needs of social and economic development, population movements between
cities often occur on a large scale. Spontaneous population movements between cities …

A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges

DO Hassan, BA Hassan - Neural Computing and Applications, 2024 - Springer
Abstract Machine learning has profoundly transformed various industries, notably
revolutionizing the retail sector through diverse applications that significantly enhance …

Novel CNN-Based Approach for reading urban form data in 2D images: An application for predicting restaurant location in Seoul, Korea

J Yang, Y Kwon - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Artificial intelligence (AI) has demonstrated its ability to complete complex tasks in various
fields. In urban studies, AI technology has been utilized in some limited domains, such as …

Multi-Label Classification with Deep Learning for Retail Recommendation

ZY Poo, CY Ting, YP Loh, KI Ghauth - Journal of Informatics and …, 2023 - mmupress.com
Selecting the right retail business for a location is crucial for the success of a business
because it determines the likelihood of favourable return on investment. One common …

Validating gravity-based market share models using large-scale transactional data

Y Suhara, M Bahrami, B Bozkaya, AS Pentland - Big Data, 2021 - liebertpub.com
Customer patronage behavior has been widely studied in market share modeling contexts,
which is an essential step toward estimating retail sales and finding new store locations in a …

Site selection and prediction of urban emergency shelter based on VGAE-RF model

Y Wang, Y Han, A Luo, S Xu, J Chen, W Liu - Scientific Reports, 2024 - nature.com
As urban development accelerates and natural disasters occur more frequently, the urgency
of develo** effective emergency shelter planning strategies intensifies. The shelter …

Location optimization of offline physical stores based on mnl model under bops omnichannel

P Wan, J Zhang, Y Liu, X Jiang - Journal of Theoretical and Applied …, 2022 - mdpi.com
With the continuous upgrading of consumer demand and retail modes, more and more
retailers are switching to an omnichannel retail mode. In order to study the location problem …

Geographical Determinants of Regional Retail Sales: Evidence from 12,500 Retail Shops in Qiannan County, China

W Wang, L Wang, X Wang, Y Wang - ISPRS International Journal of Geo …, 2022 - mdpi.com
The rapid development of the Chinese economy has stimulated consumer demand and
brought huge opportunities for the retail industry. Previous studies have emphasized the …

Site selection of precast concrete component factory based on PCA and GIS

S Wang, Y Ruan, W Hu - Advances in Civil Engineering, 2022 - Wiley Online Library
In China, with the expansion of the prefabricated construction market, the demand for
precast concrete (PC) components is increasing and the construction of production plants to …

RETRACTED ARTICLE: Multidimensional analysis and prediction based on convolutional neural network

J Bao - Soft Computing, 2023 - Springer
At present, artificial intelligence methods such as machine learning are widely used in E-
commerce enterprises, but the disconnection between business practice and prediction …