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Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings

Research Article

Research on the Restoration Perception Evaluation of Historical Blocks Along the Inner Mongolia Section of the Middle East Railway Based on Network Text Big Data

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-32443-7_25,
        author={Zhiqiang Wang and Siwei Zhang and Xiaomin Zhang and Shuang Xu and Jianxun Zhang},
        title={Research on the Restoration Perception Evaluation of Historical Blocks Along the Inner Mongolia Section of the Middle East Railway Based on Network Text Big Data},
        proceedings={Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings},
        proceedings_a={MONAMI},
        year={2023},
        month={5},
        keywords={Big data analytics technology Smart City historic district restorative environment middle east railway},
        doi={10.1007/978-3-031-32443-7_25}
    }
    
  • Zhiqiang Wang
    Siwei Zhang
    Xiaomin Zhang
    Shuang Xu
    Jianxun Zhang
    Year: 2023
    Research on the Restoration Perception Evaluation of Historical Blocks Along the Inner Mongolia Section of the Middle East Railway Based on Network Text Big Data
    MONAMI
    Springer
    DOI: 10.1007/978-3-031-32443-7_25
Zhiqiang Wang1, Siwei Zhang1,*, Xiaomin Zhang2, Shuang Xu1, Jianxun Zhang2
  • 1: Key Laboratory of Green Building at Universities of Inner Mongolia Autonomous Region, College of architecture, Inner Mongolia University of Technology, Baotou
  • 2: Architecture School, Tianjin University
*Contact email: 1085067016@qq.com

Abstract

Under the information technology, cloud computing technology is gradually emerging. Using big data technology to analyze and process data through cloud computing can further mine information resources and give full play to the value of data resources. Using massive multi-source data as the basis for evaluation, solving the problem of difficulty in the evaluation of the restoration of historical blocks is the key to promoting the research on the restoration of historical blocks. Introduce the concept of restorative environment in the study of historical blocks along the Inner Mongolia section of the Middle East Railway, and select 51,696 online text data from 6 mainstream Chinese online media platforms Ctrip, Tuniu, Fliggy, Tongcheng, Mofang and Weibo as data sources. Through big data processing and analysis, an IPA model is established, and the characteristics of the model are used to evaluate the restoration perception of multiple historical blocks in Inner Mongolia along the Middle East Railway, and propose improvement strategies to explore the impact of the spatial perception restoration of historical blocks along the Inner Mongolia section of the Middle East Railway from the perspective of tourists’ experience perception On this basis, the restoration design inspiration of the historic district is proposed.

Keywords
Big data analytics technology Smart City historic district restorative environment middle east railway
Published
2023-05-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-32443-7_25
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