Research on the Satisfaction Degree of Rookie Station Based on Centrality Analysis—Taking Shenzhen University as an Example

  • Hui YinEmail author
  • Liang Zou
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)


In recent years, more and more colleges and universities join the rookie station, however, the users’ satisfaction with the service is not very high. This paper takes rookie station user satisfaction degree as the cut-in point, using the centrality analysis method of social network analysis, taking the actual investigation and the network questionnaire as the data obtaining way, exploring the network relationship between the users and the satisfaction factors of the rookie station, and then provides the improvement plans for the service quality of the rookie station. And taking the rookie station of Shenzhen University as an example, through 100 effective questionnaires, using UCINET software, the centrality of the factors are analyzed. The results show that campus users pay more attention to the tally speed and spatial layout, but they pay less attention to the shipping charge standard and pick-up mode.


College rookie post Centrality analysis Satisfaction degree 



Thanks for the project fund: the sponsorship and support of the 2017 Shenzhen Science and Technology Project (JCYJ20170818142947240), I would like to express my deep appreciation.


  1. 1.
    Ali Research Institute (2016) Campus express industry development reportGoogle Scholar
  2. 2.
    Huimin Du (2017) Analysis on current situation and development countermeasures of rookie station. Natl Circ Economy 28:14–15Google Scholar
  3. 3.
    People’s Republic of China Post office (2017) 2016 annual express market monitoring reportGoogle Scholar
  4. 4.
    ZZhang Z (2010) A study on the satisfaction evaluation system of logistics distribution service for users of net purchase. Logistics Technol 11:27–28Google Scholar
  5. 5.
    Rushi T, Xu Y, Dong C, Liu L (2016) A study on the behavior space of urban residents’ express self-action. World Geography Stud 05:111–120Google Scholar
  6. 6.
    Chen S, Jiaoling LI, Yang Y (2012) A study on service quality of express enterprises under the operation mode. In: China conference, pp 87–91Google Scholar
  7. 7.
    Hao Z (2009) Blog community based on social network analysis. Shanghai Jiao Tong University, Shanghai, pp 10–18Google Scholar
  8. 8.
    Boykin PO, Roychowdhury VP (2005) Leveraging social networks to fight spam. IEEE Comput (04):61–68Google Scholar
  9. 9.
    Liu J (2004) Introduction to social network analysis. Social Sciences Literature PressGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Civil EngineeringShenzhen UniversityShenzhenChina

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