Next Article in Journal
Spatial Distribution of China’s Industrial Output Values under Global Warming Scenarios RCP4.5 and RCP8.5
Previous Article in Journal
From Massive Trajectory Data to Traffic Modeling for Better Behavior Prediction in a Usage-Based Insurance Context
Previous Article in Special Issue
Density-Based Spatial Clustering and Ordering Points Approach for Characterizations of Tourist Behaviour
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Retraction

Retraction: Khan, N.U. et al. Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS Int. J. Geo-Inf. 2020, 9, 70

by
IJGI Editorial Office
MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland
ISPRS Int. J. Geo-Inf. 2020, 9(12), 723; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120723
Submission received: 19 November 2020 / Accepted: 30 November 2020 / Published: 3 December 2020
(This article belongs to the Special Issue Smart Tourism: A GIS-Based Approach)
The IJGI Editorial Office has been made aware that the published paper [1] has a potential plagiarism issue with the published paper [2]. It seems that the authors of [1] took the paper by Su, X. et al. [2] as a template and modified it for the Shanghai case with Shanghai data. Therefore, the IJGI Editorial Office has taken the decision to retract [1] in order to preserve academic integrity. We apologize to the readers of IJGI and to the authors of the previous work. The decision to retract has been taken in agreement with the authors of [1]. MDPI is a member of the Committee on Publication Ethics and takes its responsibility to enforce strict ethical policies and standards very seriously. To ensure the addition of only high-quality scientific works to the field of scholarly publication, the present paper [1] was retracted. The article was retracted with the agreement of all authors. We apologize to the readership of IJGI for any inconvenience caused.

References

  1. Khan, N.U.; Wan, W.; Yu, S. Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS Int. J. Geo-Inf. 2020, 9, 70. [Google Scholar] [CrossRef] [Green Version]
  2. Su, X.; Spierings, B.; Dijst, M.; Tong, Z. Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data. Curr. Issues Tour. 2020, 23, 1542–1558. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

IJGI Editorial Office. Retraction: Khan, N.U. et al. Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS Int. J. Geo-Inf. 2020, 9, 70. ISPRS Int. J. Geo-Inf. 2020, 9, 723. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120723

AMA Style

IJGI Editorial Office. Retraction: Khan, N.U. et al. Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS Int. J. Geo-Inf. 2020, 9, 70. ISPRS International Journal of Geo-Information. 2020; 9(12):723. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120723

Chicago/Turabian Style

IJGI Editorial Office. 2020. "Retraction: Khan, N.U. et al. Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS Int. J. Geo-Inf. 2020, 9, 70" ISPRS International Journal of Geo-Information 9, no. 12: 723. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120723

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop