e-space
Manchester Metropolitan University's Research Repository

Using user-generated content to explore the temporal heterogeneity in tourist mobility

Jin, C and Cheng, J and Xu, J (2017) Using user-generated content to explore the temporal heterogeneity in tourist mobility. Journal of Travel Research, 57 (6). pp. 779-791. ISSN 0047-2875

[img]
Preview

Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Abstract

In tourism studies, new means of data collection are opening up opportunities for disclosing hidden mobility patterns. This paper aims to analyze and model the tourist flow networks for different lengths of trip on urban scale, using user generated content (UGC) data collated from an open tourism web service. The textual UGC data, with high spatial and temporal resolution, is utilized to construct three tourist flow networks in response to length of trips. Social network analysis and a revised spatial interaction model are deployed for exploring the temporal heterogeneity in the tourist movements. This empirical study from Nanjing city has further confirmed the power law of distance decay in intra-urban tourist mobility. Furthermore, the research reveals temporal variations with length of trip. The paper highlights the role of time in the tourism study through incorporating a temporal dimension into the analyses and taking advantage of the availability of new data.

Impact and Reach

Statistics

Downloads
Activity Overview
372Downloads
324Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item View Item