Evaluation and forecast method of coordination degree between urban traffic planning and land use

Lin, Qian; Pei, Yulong; Dong, Jun

doi:10.1007/s12517-021-07588-0

Cited by 2 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The joint output can more intuitively reveal the overall effects of digital transformation. The definition of the comprehensive output is represented by equation ( 7) [46][47][48]:…”

Section: B the Construction Of The Dea-bp Modelmentioning

confidence: 99%

Evaluation of the Digital Transformation Effects in Manufacturing Using the DEA-BP Model and the Internet of Things

Tian

2024

IEEE Access

View full text Add to dashboard Cite

This work aims to comprehensively evaluate the effects of digital transformation in the manufacturing industry by employing a combined approach of data envelopment analysis (DEA) and Back Propagation (BP) neural network to construct the DEA-BP model. Firstly, the digital transformation effects are more comprehensively revealed by constructing the DEA-BP model, leveraging the efficiency evaluation of DEA and the nonlinear learning capabilities of BP neural networks. Secondly, critical input factors are selected. This work considers the manufacturing environment driven by the Internet of Things (IoT) to assess the core influencing factors of digital transformation more practically and operationally. Finally, through experiments utilizing simulated manufacturing process data, the performance of various models is compared in terms of overall efficiency, prediction performance, and classification performance. The research results indicate that the DEA-BP model significantly outperforms other models in overall efficiency evaluation, reaching a maximum efficiency of 93%, fully capitalizing on the flexibility of DEA and the nonlinear learning capabilities of the BP model. Regarding prediction performance for digital transformation, the DEA-BP model exhibits higher accuracy. In classification performance, the DEA-BP model remarkably improves accuracy, precision, and recall, demonstrating higher stability than other models. This work provides a new approach to evaluating the effects of digital transformation in the manufacturing industry, offering feasibility and guidance for practical applications, and it possesses high research and application value. Future research could further optimize model interpretability and computational efficiency, explore additional evaluation indicators, and enhance comprehensiveness and applicability.

show abstract

“…The joint output can more intuitively reveal the overall effects of digital transformation. The definition of the comprehensive output is represented by equation ( 7) [46][47][48]:…”

Section: B the Construction Of The Dea-bp Modelmentioning

confidence: 99%

Evaluation of the Digital Transformation Effects in Manufacturing Using the DEA-BP Model and the Internet of Things

Tian

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

Optimization Strategies of Commercial Layout of Traditional Villages Based on Space Syntax and Space Resistance Model: A Case Study of Anhui Longchuan Village in China

et al. 2023

View full text Add to dashboard Cite

Huizhou villages are representatives of traditional villages and have a high historical, cultural, and tourism value. In view of the problems of low commercial efficiency due to the small scale of commercial space and the imperfect layout in Longchuan Village, Jixi County, Xuancheng City, Anhui Province, this research explores the spatial advantages of Longchuan Village’s commercial layout through an analysis of street and lane space syntax and a commercial space resistance model. The research on the spatial syntax of streets mainly focuses on the analysis of the spatial accessibility, line-of-sight integration, and spatial comprehensibility of Longchuan Village’s streets. The commercial space resistance model mainly studies the attraction of tourism resources to tourists in order to select the most suitable area for the layout of commercial space. The results of the analysis show the following: (1) The integration degree of traffic and the sight line is relatively high at County Road and Water Street in Longchuan Village, so these two places have better accessibility and more sight lines. (2) Longchuan Village has a good spatial understanding in a small area, so it is not suitable to distribute commercial space but rather to centralize it. (3) In the commercial space layout resistance model, the area around Water Street and Qixing Pond has the smallest spatial resistance and the greatest opportunity for population gathering, making it the most suitable for a commercial layout. On the basis of the analysis results, this paper puts forward an optimization strategy of Longchuan Village’s commercial space layout in a targeted manner to help Longchuan Village achieve a better commercial layout. The research contribution of this paper will help planners and architects to take advantage of space to plan the commercial space of traditional tourist villages so that they can exert a better commercial value and tourism effect and to promote the tourism development of traditional villages across the country.

show abstract

Evaluation and forecast method of coordination degree between urban traffic planning and land use

Cited by 2 publications

References 13 publications

Evaluation of the Digital Transformation Effects in Manufacturing Using the DEA-BP Model and the Internet of Things

Evaluation of the Digital Transformation Effects in Manufacturing Using the DEA-BP Model and the Internet of Things

Optimization Strategies of Commercial Layout of Traditional Villages Based on Space Syntax and Space Resistance Model: A Case Study of Anhui Longchuan Village in China

Contact Info

Product

Resources

About