E3S Web Conf.
Volume 214, 20202020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|Number of page(s)||6|
|Section||Big Data Analysis Application and Energy Consumption Research|
|Published online||07 December 2020|
Research on Perceived Image of Historical and Cultural District Based on Grounded Theory——Take Dashilan as an example
School of Economics and Management, Beijing Jiaotong University, Beijing, China
This article collects tourists’ online comments on Ctrip.com, a historical and cultural block in Dashilan, Beijing. Based on grounded theory and text content analysis tool ROST.CM6, it analyzes the perception image of tourists in historical and cultural blocks. Positive perception factors include tourism resources, tourism environment, reception, and traffic location. Negative perception factors can be divided into three aspects: tourism soft environment, reception, and tourism product. Corresponding improvement suggestions are proposed for tourists’ negative perceptions.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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