How to Maximize Capabilities of Mobility Data: Case Studies of Samut Songkhram and Phatthalung Provinces
Data has massive value today, but what is also important is the tool to simplify and understand data. Aware of this fact, dtac has decided to partner with the Chulalongkorn University’s (CU) Faculty of Architecture and Boonmee Lab in developing Mobility Data Dashboard as a platform for interested groups to explore more about domestic tourists’ behaviors. dtacblog recently sat down with Asst. Prof. Dr. Nattapong Punnoi, a key man behind the Mobility Data Dashboard. While he is a full-time lecturer at the faculty’s Department of Urban & Regional Planning, he also heads the “Project to Study Thai Tourists’ Mobility and Concentration during COVID-19 Situation”. According to him, Mobility Data Dashboardprovides insight on tourism data at three levels: Cluster level: The dashboard shows secondary-city clusters to guide each secondary city about which neighboring provinces it should partner with and develop tour routes and tourism activities that best suit tourists’ behaviors. Generally, tourists visit several provinces in the same trip. Central government agencies thus should use the cluster-level information to boost the efficiency of tourism-campaign designs. Provincial level: This provides insights on provincial tourism trends, including the profiles of its inbound and outbound tourists. The profiles specify gender, age, and hometown of…