Cartography for Sustainable Tourism of Cultural Tourism Attractions Around Sawaswareesrimaram Temple, Dusit District, Bangkok

Abstract

This research was conducted to develop tourist attractions, especially cultural tourism attractions in the community area around Sawaswareesrimaram Temple, Dusit district, Bangkok. The objective is to develop spatial potential by applying geographic information systems for mapping local communities in location determination, planning, and spatial development. The methodology was obtained from field surveys by recording the coordinates of cultural tourist attractions with Global Positioning System (GPS) and using geographic information systems for mapping. It also adopts the principle of analyzing the density of attractions with Kernel Density. The results reveal that there were 4 types of cultural attractions in Dusit District: Institution, Palace and Museum, Religious places, and Restaurant – Street food. The distribution pattern of most cultural attractions was in the south-western area of the study area, with the density of cultural attractions greater than 1 km2. Cultural attractions in the form of Restaurant and Street food were found to have a very high density in the Sri Yan area, showing a level greater than 1 km2 along Sam Sen road and Nakhon Chai Si road. As for Thewet district, there was a density level of 0.2-0.6 km2, which were all distributions of street food, dense at the intersection of roads. In summary, the mapping can provide local people with a tool for planning cultural sites, to enhance their livelihoods, love and cherish their homeland, and increase their income, leading to future tourism developments.

Studying the Development Potential of Tourism Industries in the South Altai by Hydrological, Climatic, Geomorphological Way and Visualization Using Gis

“…In ArcGIS, the boundaries of natural and recreational areas have been digitized and a geobase of the research zone has appeared. Based on a quantitative relief model, a set of quantitative thematic maps of significant morphometric indicators was creat ed (Waiyausuri et al, 2023).…”

رصد البصمة الرقمية السياحية ومراكز الأنشطة السياحية من خلال بيانات التوسيم الجغرافي والبيانات المحددة للموقع: مدينة الإسكندرية كدراسة حالة

“…These systems include social media platforms, mobile phone networks, online search engines, various sensors, wearable technology, GPS tracking, water and electricity usage records, weather information, video recordings, and credit card transactions (Reif & Schmücker, 2020;Yubero et al, 2021). Analyzing these datasets enables us to gain a deeper insight into our interactions within urban environments (Waiyausuri et al, 2023;Gao et al, 2024). Big data is distinct from traditional data on several levels.…”

“…Instasights heatmaps provide valuable insights into various aspects of urban tourism phenomena, including monitoring urban dynamics after public space renewal and pinpointing high concentrations of users within cities (Martí et al, 2021). Instasights cartographies illustrate four popular tourist activities: eating, shopping, sightseeing, and nightlife (Martí et al, 2021;Waiyausuri et al, 2023). Fourthly, the LBSN that is check-in based foursquare encompasses a registry of socioeconomic activities and relevant locations in the city, known as venues (Foursquare Inc., 2019).…”