Welcome to Francis Academic Press

International Journal of New Developments in Engineering and Society, 2019, 3(4); doi: 10.25236/IJNDES.030415.

Enhancing Local Development with Big Dataand Smart Management in Developing Areas

Author(s)

Chang Di1, Deng Yue2

Corresponding Author:
Chang Di
Affiliation(s)

1 Guiyang University,550000, Guiyang, China
2 EGU University, Kuala Lumpur, Malasia

Abstract

This study aims at innovation in local development, covering transportation, medical and health service, tourism, and high education in Guiyang city, with the help of Big Data and smart management. In the first part of this thesis, the author focus on the background of this study, including brief introduction of Guiyang city, present economic situation and development of Guiyang. Secondly, city security, detail present technology update in the construction of transportation, and smart management in transportation, medical and health service and tourism, along with economic results brought from these changes of technology and smart management. To summarize, some limitations of this presentation, and the expectation of learning from other nations to perfect the innovation in the development of Guiyang will be commented. Through information collection from Internet service, library research, case investigation, case interview and so forth, the author obtains relevant data and proof materials of Guiyang city's transition from traditional city to innovative city..

Keywords

Big date and smart management; Guiyang; Innovation

Cite This Paper

Chang Di, Deng Yue. Enhancing Local Development with Big Dataand Smart Management in Developing Areas. International Journal of New Developments in Engineering and Society (2019) Vol.3, Issue 4: 102-108. https://doi.org/10.25236/IJNDES.030415.

References

[1] Z.H. Gao, T.T. Feng(2019).Network Public Opinion Management in Big Data Environment. Advances in Social Sciences, vol.8, no.4, pp.607-612
[2] L.K. Ma, Y.S. Du, S.S. Liu(2019).Challenges and Opportunities of Big Data Analytics Based on Supply Chain Management, Service Science and Management, vol.8, no.3, pp.111-112.