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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/113054
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/113054


    Title: Analyzing Personal Happiness from Global Survey and Weather Data: A Geospatial Approach
    Authors: 彭逸帆
    何瑁鎧
    Peng, Yi Fan
    Tang, Jia Hong
    Fu, Yang Chih
    Fan, I. Chun
    Hor, Maw Kae
    Chan, Ta Chien
    Contributors: 資科系
    Keywords: adult;alcohol consumption;Article;China;correlation analysis;environmental temperature;Europe;female;food intake;fruit;geographic elevation;gross national product;happiness;health behavior;health status;health survey;human;male;middle aged;normal human;physical activity;seasonal variation;sensitivity analysis;smoking;social status;vegetable;weather;wind;diet;geography;health status;questionnaire;satisfaction;season;socioeconomics;statistical model;weather;Diet;Fruit;Geography;Happiness;Health Status;Humans;Logistic Models;Personal Satisfaction;Seasons;Socioeconomic Factors;Surveys and Questionnaires;Vegetables;Weather
    Date: 2016-04
    Issue Date: 2017-09-15 16:09:34 (UTC+8)
    Abstract: Past studies have shown that personal subjective happiness is associated with various macro- and micro-level background factors, including environmental conditions, such as weather and the economic situation, and personal health behaviors, such as smoking and exercise. We contribute to this literature of happiness studies by using a geospatial approach to examine both macro and micro links to personal happiness. Our geospatial approach incorporates two major global datasets: representative national survey data from the International Social Survey Program (ISSP) and corresponding world weather data from the National Oceanic and Atmospheric Administration (NOAA). After processing and filtering 55,081 records of ISSP 2011 survey data from 32 countries, we extracted 5,420 records from China and 25,441 records from 28 other countries. Sensitivity analyses of different intervals for average weather variables showed that macro-level conditions, including temperature, wind speed, elevation, and GDP, are positively correlated with happiness. To distinguish the effects of weather conditions on happiness in different seasons, we also adopted climate zone and seasonal variables. The micro-level analysis indicated that better health status and eating more vegetables or fruits are highly associated with happiness. Never engaging in physical activity appears to make people less happy. The findings suggest that weather conditions, economic situations, and personal health behaviors are all correlated with levels of happiness.
    Relation: PLoS ONE, 11(4), e0153638
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1371/journal.pone.0153638
    DOI: 10.1371/journal.pone.0153638
    Appears in Collections:[資訊管理學系] 期刊論文

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