11 research outputs found

    āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ›āļąāļˆāļˆāļąāļĒāļšāļĢāļīāļšāļ—āļ—āļēāļ‡āļāļēāļĒāļ āļēāļžāļ—āļĩāđˆāļĄāļĩāļœāļĨāļ•āđˆāļ­āļāļēāļĢāļŠāļĢāđ‰āļēāļ‡āļ—āļļāļ™ āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄāļ āļēāļĒāđƒāļ•āđ‰āļāļēāļĢāļžāļąāļ’āļ™āļēāļ­āļĒāđˆāļēāļ‡āļĒāļąāđˆāļ‡āļĒāļ·āļ™: Physical Context Factor Analysis Influences on Social Capital Under Sustainable Development

    Get PDF
                   āļžāļĨāļ§āļąāļ•āļ‚āļ­āļ‡āļāļēāļĢāļžāļąāļ’āļ™āļēāđ€āļĄāļ·āļ­āļ‡āđƒāļ™āļĄāļīāļ•āļīāļ•āđˆāļēāļ‡āđ† āļŠāđˆāļ‡āļœāļĨāļ•āđˆāļ­āļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļ—āļēāļ‡āļ”āđ‰āļēāļ™āļŠāļ āļēāļžāđāļ§āļ”āļĨāđ‰āļ­āļĄāļ—āļēāļ‡āļāļēāļĒāļ āļēāļžāļ‚āļ­āļ‡āđ€āļĄāļ·āļ­āļ‡ āļ—āļąāđ‰āļ‡āļĢāļđāļ›āđāļšāļšāļāļēāļĢāđ€āļ”āļīāļ™āļ—āļēāļ‡ āļĢāļđāļ›āđāļšāļšāļāļēāļĢāļ­āļĒāļđāđˆāļ­āļēāļĻāļąāļĒ āļ•āļĨāļ­āļ”āļˆāļ™āļĢāļđāļ›āđāļšāļšāļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄ āļĄāļĩāļœāļĨāļ•āđˆāļ­āļāļĨāđ„āļāļ‚āļ­āļ‡āļāļēāļĢāļ§āļēāļ‡āđāļœāļ™āđ€āļĄāļ·āļ­āļ‡ āđāļĨāļ°āļ›āļąāļˆāļˆāļļāļšāļąāļ™āļ”āđ‰āļ§āļĒāļāļēāļĢāļ‚āļĒāļēāļĒāļ•āļąāļ§āļ‚āļ­āļ‡āđ€āļĄāļ·āļ­āļ‡ āļˆāļķāļ‡āļ—āļģāđƒāļŦāđ‰āļžāļ·āđ‰āļ™āļ—āļĩāđˆāđƒāļ™āđ€āļ‚āļ•āđ€āļĄāļ·āļ­āļ‡āļ‚āļēāļ”āļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ›āļāļīāļŠāļąāļĄāļžāļąāļ™āļ˜āđŒāļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄ āđāļĨāļ°āļ‚āļēāļ”āļāļīāļˆāļāļĢāļĢāļĄāļ—āļĩāđˆāļŠāđˆāļ‡āđ€āļŠāļĢāļīāļĄāļāļēāļĢāļĄāļĩāļŠāđˆāļ§āļ™āļĢāđˆāļ§āļĄ āļ”āļąāļ‡āļ™āļąāđ‰āļ™āļāļēāļĢāļĻāļķāļāļĐāļēāļ™āļĩāđ‰āļĄāļĩāļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāđ€āļžāļ·āđˆāļ­āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļšāļĢāļīāļšāļ—āļ—āļēāļ‡āļāļēāļĒāļ āļēāļžāļ—āļĩāđˆāļĄāļĩāļœāļĨāļ•āđˆāļ­āļāļēāļĢāļŠāļĢāđ‰āļēāļ‡āļ—āļļāļ™āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄ āđ‚āļ”āļĒāđ€āļāđ‡āļšāļĢāļ§āļšāļĢāļ§āļĄāļ‚āđ‰āļ­āļĄāļđāļĨāļ”āđ‰āļ§āļĒāđāļšāļšāļŠāļ­āļšāļ–āļēāļĄāļˆāļģāļ™āļ§āļ™ 400 āļāļĨāļļāđˆāļĄāļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡ āđƒāļ™āļžāļ·āđ‰āļ™āļ—āļĩāđˆāđ€āļ—āļĻāļšāļēāļĨāļ—āđˆāļēāđ‚āļ‚āļĨāļ‡ āļˆāļąāļ‡āļŦāļ§āļąāļ”āļ›āļ—āļļāļĄāļ˜āļēāļ™āļĩ āđ€āļžāļ·āđˆāļ­āļŠāļ°āļ—āđ‰āļ­āļ™āļ›āļąāļˆāļˆāļąāļĒāđ€āļŠāļīāļ‡āļŠāļąāļ‡āļ„āļĄāđāļĨāļ°āđāļŠāļ”āļ‡Â Â  āļ„āļ§āļēāļĄāđāļ•āļāļ•āđˆāļēāļ‡āļ‚āļ­āļ‡āļĢāļ°āļ”āļąāļšāļ—āļļāļ™āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄ āļ”āđ‰āļ§āļĒāļ§āļīāļ˜āļĩāļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ„āļ§āļēāļĄāļŠāļąāļĄāļžāļąāļ™āļ˜āđŒāđ€āļŠāļīāļ‡āļ–āļ”āļ–āļ­āļĒāđ‚āļĨāļˆāļīāļŠāļ•āļīāļāļ—āļ§āļīāļ™āļēāļĄāđ‚āļ”āļĒāļŠāļēāļĄāļēāļĢāļ–āļˆāļąāļ”āļāļĨāļļāđˆāļĄāļ‚āļ­āļ‡āļ›āļąāļˆāļˆāļąāļĒāļ”āđ‰āļēāļ™āļāļēāļĒāļ āļēāļž āđ„āļ”āđ‰āđāļāđˆ āļāļēāļĢāļāļĢāļ°āļˆāļēāļĒāļ•āļąāļ§āļ‚āļ­āļ‡āļĨāļąāļāļĐāļ“āļ°āļ­āļēāļ„āļēāļĢāļ•āđˆāļēāļ‡ āđ† āļĢāļ°āļĒāļ°āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŠāļēāļ˜āļēāļĢāļ“āļđāļ›āđ‚āļ āļ„āđāļĨāļ°āļŠāļēāļ˜āļēāļĢāļ“āļđāļ›āļāļēāļĢāļ•āļēāļĄāļĢāļ°āļĒāļ°āļ‚āļ­āļ‡āļāļēāļĢāđ€āļ‚āđ‰āļēāļ–āļķāļ‡āļ—āļēāļ‡āļ–āļ™āļ™ āļ›āļąāļˆāļˆāļąāļĒāļ”āđ‰āļēāļ™āļ—āļļāļ™āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄāđāļšāđˆāļ‡āļ­āļ­āļāđ€āļ›āđ‡āļ™ 6 āļ”āđ‰āļēāļ™ āđ„āļ”āđ‰āđāļāđˆ (1) āđ€āļ„āļĢāļ·āļ­āļ‚āđˆāļēāļĒāļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄ (2) āļ„āļ§āļēāļĄāļžāļķāļ‡āļžāļ­āđƒāļˆāđāļĨāļ°āļ„āļ§āļēāļĄāļŠāļļāļ‚ (3) āļ„āļ§āļēāļĄāļĢāļđāđ‰āļŠāļķāļāđ€āļ›āđ‡āļ™āđ€āļˆāđ‰āļēāļ‚āļ­āļ‡āļŠāļļāļĄāļŠāļ™ (4) āļ„āļ§āļēāļĄāļ›āļĨāļ­āļ”āļ āļąāļĒāđƒāļ™āļŠāļļāļĄāļŠāļ™ (5) āļāļēāļĢāđ€āļŠāļ·āđˆāļ­āđƒāļˆāļ•āđˆāļ­āđ€āļžāļ·āđˆāļ­āļ™āļšāđ‰āļēāļ™ āđāļĨāļ° (6) āļāļēāļĢāđ€āļŠāļ·āđˆāļ­āđƒāļˆāļ•āđˆāļ­āļŦāļąāļ§āļŦāļ™āđ‰āļēāļŠāļļāļĄāļŠāļ™ āļœāļĨāļāļēāļĢāļĻāļķāļāļĐāļē āļžāļšāļ§āđˆāļē āļĨāļąāļāļĐāļ“āļ°āļ—āļēāļ‡āļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ—āļĩāđˆāđāļ•āļāļ•āđˆāļēāļ‡āļāļąāļ™āļŠāđˆāļ‡āļœāļĨāļ•āđˆāļ­āļāļēāļĢāļŠāļĢāđ‰āļēāļ‡āļ—āļļāļ™āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄāļ—āļĩāđˆāđāļ•āļāļ•āđˆāļēāļ‡āļāļąāļ™ āđ‚āļ”āļĒāļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ—āļĩāđˆāļĄāļĩāļāļēāļĢāđƒāļŠāđ‰āļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒāļ—āļĩāđˆāļ”āļīāļ™āļ›āļĢāļ°āđ€āļ āļ—āđāļŦāļĨāđˆāļ‡āļ‡āļēāļ™ āđ„āļ”āđ‰āđāļāđˆ āļŠāļļāļĄāļŠāļ™āļ™āļīāļ„āļĄāļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāļ™āļ§āļ™āļ„āļĢ āļŠāļļāļĄāļŠāļ™āļšāļēāļ‡āļ‚āļąāļ™āļ˜āđŒ āļˆāļ°āđ€āļ›āđ‡āļ™āļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ—āļĩāđˆāļĄāļĩ     āļāļēāļĢāļĢāļ§āļĄāļāļĨāļļāđˆāļĄāļāļīāļˆāļāļĢāļĢāļĄāļĄāļēāļāļĄāļĩāļœāļĨāļ•āđˆāļ­āđ‚āļ­āļāļēāļŠāđƒāļ™āļāļēāļĢāļŠāļĢāđ‰āļēāļ‡āļ—āļļāļ™āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄāļ›āļĢāļ°āđ€āļ āļ—āđ€āļ„āļĢāļ·āļ­āļ‚āđˆāļēāļĒ āđƒāļ™āļ‚āļ“āļ°āļ—āļĩāđˆāļžāļ·āđ‰āļ™āļ—āļĩāđˆāļŠāļļāļĄāļŠāļ™āļĢāļ­āļšāļĄāļŦāļēāļ§āļīāļ—āļĒāļēāļĨāļąāļĒāļ™āļąāđ‰āļ™āđ€āļ›āđ‡āļ™āļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ—āļĩāđˆāļĄāļĩāđ‚āļ­āļāļēāļŠāđ€āļāļīāļ”āļ—āļļāļ™āļ—āļēāļ‡āļŠāļąāļ‡āļ„āļĄāļ›āļĢāļ°āđ€āļ āļ—āļ„āļ§āļēāļĄāļžāļķāļ‡āļžāļ­āđƒāļˆāđāļĨāļ°āļ„āļ§āļēāļĄāļŠāļļāļ‚āļĄāļēāļāļāļ§āđˆāļēāļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ­āļ·āđˆāļ™āđ† āļ­āļąāļ™āļ–āļ·āļ­āđ€āļ›āđ‡āļ™āļ›āļąāļˆāļˆāļąāļĒāđ€āļāļ·āđ‰āļ­āļŦāļ™āļļāļ™āļŠāđˆāļ§āļĒāđƒāļŦāđ‰āđ€āļāļīāļ”āļāļēāļĢāļžāļąāļ’āļ™āļēāļ­āļĒāđˆāļēāļ‡āļĒāļąāđˆāļ‡āļĒāļ·āļ™āđƒāļ™āļ­āļ™āļēāļ„

    Determination Towards Decision of Public Response in Flood Situation: Case Study in Urban Flood Prone Area in Central Region in Thailand

    Get PDF
    Public involvement has become a crucial part in increasing the efficiency of disaster management activities nowadays. In particular, collaboration between civil society and municipalities emerge in disaster situations because uncertainties in personal perception compel them to do so more than their own willingness to involved in disaster management activity. Since this appears to have occurred as a response to the 2011 flood situation in Thailand, the question is how a successful was this collaboration? The aim of this research is to identify factors influencing people’s involvement in disaster management activity. The two study objectives are as follows: (1) to elucidate the characteristics of flood responses in the selected case study, and (2) to measure the level of involvement of community members in flood-prone urban areas during the flood situation in 2011. This study area is located in Pak Kret Municipality, Nonthaburi Province, which is considered as one area that was successful in its flood management efforts during the 2011 flood situation. This research utilized a questionnaire survey, which adopts and extends concepts relevant to willingness to pay for and take part in disaster management activities. Five factors were applied to the investigation: (1) Respondents’ information; (2) Decision of respondents to take action, classified by flood inundation level; (3) Perception towards stakeholders in flood management activities; (4) Factors influencing respondents to become involved in flood management activity; and (5) Current preparation and response effort. The study found that external groups such as central and local government, community leaders and members have to take responsibility as first-tier respondents in disaster situations. In the case of collaboration, community members are willing to help government sector as volunteers, and the three most influential factors which led community members to become involved in disaster management activity are level of severity, duration of disaster, and expectation to avoid escalation of the situation
    corecore