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Author: search.filters.author.Sirikitsathian, Phatthanan

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    Deep Learning-Based Heritage Building Assessment with Spatial Context
    (2025-01-01)
    Rattanapitak, Wirat
    ;
    Khwansuwan, Poon
    ;
    Wangsiripitak, Somkiat
    ;
    Sirikitsathian, Phatthanan
    Rapid urbanization threatens architectural heritage in developing regions, where limited conservation experts cannot assess thousands of potentially valuable buildings before irreversible modifications occur. This paper presents an automated screening system for heritage building identification using deep learning and spatial analysis. The proposed framework employs a dual-stream architecture combining YOLOv8 object detectionwith SegFormer semantic segmentation to extract architectural features from building facade photographs. These visual features are integrated with Geographic Information System (GIS) data to incorporate spatial context, recognizing that heritage buildings often cluster in historically significant areas. A hybrid weighting mechanism balances data-driven feature importance (80%) with expert architectural knowledge (20%) to ensure cultural sensitivity. Experimental evaluation on 1,500 buildings in Roi Et Province, northeastern Thailand, demonstrates the system's effectiveness, achieving 87.6% classification accuracy while processing each building in approximately one second. In corporating spatial context improved performance by 6.4% over visual features alone. The transformer-based architecture proved particularly effective at identifying characteristic features such as paired windows and traditional wall patterns that distinguish heritage structures. This work provides a practical tool for large scale preliminary heritage assessment, enabling conservation authorities to efficiently allocate limited expert resources to high priority buildings while maintaining classification reliability suitable for initial screening purposes.
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    GIS and Street View Integration: Analyzing Spatial Factors of Motorcycle Taxi Stands in Bangkok
    (2024-01-01)
    Rattanapitak, Wirat
    ;
    Sirikitsathian, Phatthanan
    Motorcycle taxis play a vital role in addressing lastmile connectivity challenges in Bangkok's complex urban transportation system. However, the factors influencing the spatial distribution of these informal transport services remain poorly understood. Kernel Density Estimation (KDE) was employed to examine the spatial distribution patterns, revealing two primary high-density clusters of stands in southern Chatuchak. Proximity analysis quantified relationships between the 208 stand locations and urban infrastructure factors, finding strategic positioning near mass transit stations (avg. 1.79 km), on sidewalks (70.5%), and in mixed-use areas with predominantly residential (33.19%) and commercial (29.32%) land use within a 100m radius. A decision tree model identified residential area proportion (importance 0.3423) and distance from metro stations (0.2935) as key predictors of stand presence, but achieved moderate accuracy (52.38%). The results highlight the close integration of motorcycle taxi stands within the urban fabric and their role in enhancing accessibility.
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    A conceptual framework for better understanding of factors influencing accessibility to a website and its acceptance by university students with visual impairments
    (2017-07-01)
    Sirikitsathian, Phatthanan
    ;
    Chaveesuk, Singha
    ;
    Sathitwiriyawong, Chanboon
    Information and communication technology have been developed and widely used nowadays. A good website should be readily accessible to every group of users. General users or users with disability should be able to access and understand the messages in a website equally well. However at the present, many people with visual impairment cannot access a website readily: They cannot search for information, in particular. Specifically, some university students in Thailand have problems accessing a website and understanding its content due to the website was developed by developers and associated personnel that lacked the knowledge and understanding of the principles that affect universal website accessibility and acceptance. This study, therefore, propose a conceptual framework based on the UTAUT theory of website acceptance. In addition to the main variables in the original theory which are applicable only to general users, two more main variables were included in this framework: Perceived convenience and perceived reliability. Two new moderators were added to it as well: web accessibility and vision impairment level. These extra variables and moderators were added in order to incorporate users' intention to use a website and their usage behavior in this framework. This framework would be of value to developers and associated personnel to help them understand the valid website design requirements for university students with visual impairment.
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    A conceptual framework of students with visual impairments on website accessibility acceptance
    (2017-02-21)
    Sirikitsathian, Phatthanan
    ;
    Chaveesuk, Singha
    ;
    Sathitwiriyawong, Chanboon
    Website accessibility is a key determinant of people with disabilities' acceptance. It is the key of making websites accessible to all, which covers all disabilities who affect access to the web. Web users including students with visual impairments can conveniently undertake a number of tasks that would be difficult or impossible, but many web applications are not accessible to them. Therefore, inaccessible online materials will lead students with visual impairments to fewer opportunities to learn and improve their learning outcomes. Based on many researches, it was found that the acceptance of website accessibility of students with visual impairments included web accessibility and vision impairment level. The purpose of this paper is to build a model based on Unified Theory of Acceptance and Use of Technology, that performance expectancy, effort expectancy, social influence, and facilitating conditions have positive effects on usage intention and acceptance behavior of website accessibility. This proposed model provides more understanding of the factors that could influence user acceptance in website accessibility. It also presents hypotheses and develops a structural equation model for further empirical study.