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Article
Publication date: 12 February 2024

Jieyu Li, Libang Ma, Tianmin Tao, Zhihang Zhu and Sixia Li

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a…

Abstract

Purpose

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

Design/methodology/approach

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

Findings

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

Originality/value

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Article
Publication date: 2 January 2025

Tianyin Wang, Yin Tian and Jie Yang

The purpose of this study is to design a long-term vibration monitoring system for track beams of suspended maglev trains to ensure safe and smooth operation of the trains.

Abstract

Purpose

The purpose of this study is to design a long-term vibration monitoring system for track beams of suspended maglev trains to ensure safe and smooth operation of the trains.

Design/methodology/approach

The paper begins by focusing on the selection of hardware for the wireless monitoring and acquisition terminal and the circuit design. It connects to a wireless Access Point (AP) via Wi-Fi and utilizes the Transport Control Protocol (TCP) to upload the sensor data collected by the monitoring terminal to the upper computer. Additionally, the design includes software for the upper computer to parse the uploaded data packets and create a visualization interface, which is crucial for monitoring the vibrations of the track beams.

Findings

The vibration monitoring system developed in this study can display the data collected by the monitoring terminal in real time on the upper computer, while also allowing remote commands to query the status of the monitoring terminal. Due to the low-power design of the monitoring and acquisition terminal, it is capable of meeting the long-term vibration monitoring requirements for the track beams. Through precision testing of the monitoring terminal, we can ensure that the sensors meet experimental requirements, providing reliable data support for scientific research.

Originality/value

The vibration monitoring system presented in this paper integrates modern wireless communication technology and data visualization technology.

Details

Smart and Resilient Transportation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2632-0487

Keywords

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