Apply GIS for Planningand Support Bicycle Tourism: A Case Study in KOH LARN, PATTAYA

Authors

  • ฉัตชฎา กาญจนาชีวะ คณะการจัดการท่องเที่ยวระหว่างประเทศ มหาวิทยาลัยบูรพา
  • เพชรรัตน์ วิริยะสืบพงศ์ Faculty of Geoinformatics, Burapha University

Keywords:

Bicycle tourism, GIS, sustainable tourism

Abstract

This study aims (1) to know the local community’s opinion about acceptance includes understanding about bicycle tourism analyze with sustainable tourism development and community participation at KohLarn, Pattaya. (2) to know tourist’s opinion who travel by cycling, cyclists who cycling analyze with the effect of core resources and attractors dimensions on overall of destination competitiveness and sustainability at KohLarn opinion and classify the appropriate cycling route for 2 models: 1.) cycling route for tourism. 2.) cycling route for sport tourism. (3) to get a cycling routes map by using QGIS program network analysis. This study used qualitative research with three objectives; the probably sampling method by purposive sampling was uses by in-depth interview. The sample size in objective 1 was 35 in-depth interviews the entrepreneurs or residents who live at KohLarn and a career had directly affect with bicycle tourism, objective 2 the sample size was 35 in-depth interviews tourists who travel by cycling and cyclists who cycling at KohLarn, Pattaya the sample size was 25, and objective 3 was apply GIS to planning model cycling route for tourism and cycling route for sport tourism. Overall of the result were create cycling routes and shown on a “map features”. The researcher found that people in local community with 100 percentages accepted about bicycle tourism, which can encourage economic income and want to develop this activity to be new sport tourism at KohLarn. cycling routesresults in each route are suitable for tourists who are fond of each type of tourism was presented by GIS map can be adjusted as appropriate and convenient to develop to sustain bicycle tourism at KohLarn, Pattaya in the future.

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Published

2019-12-29

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Section

Research Article