現存國內外婚姻研究多數傾向探討婚姻與社會結構的關聯性，並僅限於「群體」類別，而忽略對「空間」的論述，例如家庭收入高低、夫婦教育程度、初婚年齡、育兒數量、宗教信仰與種族等等。本研究立足於過往婚姻文獻研究結果，利用空間統計方式探討婚姻人口、社會與空間的交互關係，以臺中市為研究區域，探討升格為直轄市的第一年（2011年）與第十年（2020年）的婚姻人口與空間變化，並投入相關變數進行探討。
研究發現兩年度台中市婚姻人口冷區集中於原台中舊市區，熱區集中在郊區至沿海一帶；透過逐步法篩選投入變數，兩年度中的扶幼比、自然增加率與所得中位數皆與婚姻人口呈現正相關；相對負相關的部分為女性變數，包含女性高等教育比、女性離婚比與女性喪偶比；變數投入SLM後，亦發現婚姻人口存在空間鄰近效應，並透過Breusch-Pagan檢定亦再進行GWR，將其係數執行K-means演算法後，發現海線一帶女性變數相較市區影響甚多，皆為負向關；至於扶幼比、所得中位數與自然增加率變數，無論區域皆呈現正相關。
升格為直轄市後的臺中市，人口增加的同時各區戶量卻呈現逐年降低，面臨少子化與老年化現象，即使經濟所得中位數在2011年有強烈正向影響，但在2020卻明顯減少，表明經濟與婚姻間的關聯性逐漸示弱。整體而言，沿海地區相對都市地區婚姻現象更明顯，近期主要婚姻人口集中在西屯至沙鹿一帶，推測與周圍工業及科學園區帶來人口群聚有關；本研究將臺中市婚姻人口分為四大群集，證實整體婚姻人口亦有地域之分。

Existing domestic and international marriage studies mostly tend to explore the relationship between marriage and social structure, focusing only on "group" categories while neglecting the discussion of "spatial" aspects, such as household income, couple's educational level, age at first marriage, number of children, religious beliefs, and ethnicity. This study builds upon the results of previous marriage literature and utilizes spatial statistical methods to investigate the interactions between the married population, society, and space, using Taichung City as the research area. It explores the changes in the married population and spatial distribution in the first year (2011) and the tenth year (2020) after Taichung was upgraded to a special municipality, and analyzes related variables.
The study finds that in both years, the cold spots of the married population in Taichung are concentrated in the old urban areas of Taichung, while the hot spots are concentrated in suburban and coastal areas. Through stepwise selection of input variables, it is found that the child dependency ratio, natural increase rate, and median income are positively correlated with the married population in both years. On the contrary, female variables, including the ratio of women with higher education, female divorce rate, and female widowhood rate, are negatively correlated. After inputting variables into the Spatial Lag Model (SLM), it is also found that the married population exhibits spatial proximity effects. Through the Breusch-Pagan test and subsequent Geographically Weighted Regression (GWR), the coefficients were analyzed using the K-means algorithm. It was found that female variables in the coastal areas have a greater negative impact compared to urban areas, while the child dependency ratio, median income, and natural increase rate variables are positively correlated regardless of the region.
After being upgraded to a special municipality, the population of Taichung City increased, but the number of households in each district decreased annually, facing low birth rates and an aging population. Even though the median income had a strong positive impact in 2011, it significantly decreased by 2020, indicating that the relationship between the economy and marriage is gradually weakening. Overall, the marriage phenomena are more evident in coastal areas compared to urban areas. Recently, the main married population has been concentrated from Xitun to Shalu, speculated to be related to population clustering brought by surrounding industrial and science parks. This study divides the married population of Taichung City into four major clusters, confirming that there are regional differences in the overall married population

Anselin, L. (2001). Spatial econometrics. A companion to theoretical econometrics, 310330.
Amoako Johnson, F., Abu, M., & Utazi, C. E. (2019). Geospatial correlates of early marriage and union formation in Ghana. PLoS One, 14(10), e0223296.
Amegbor, P. M., Yankey, O., Rosenberg, M. W., & Sabel, C. E. (2021). Examining spatial variability in the association between male partner alcohol misuse and intimate partner violence against women in Ghana: a GWR analysis. Journal of interpersonal violence, 36(23-24), NP12855-NP12874.
Becker, G. S. (1991). A treatise on the family: Enlarged edition: Harvard university press.
Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206.
Jones, G. W., & Yeung, W.-J. J. (2014). Marriage in asia (Vol. 35, pp. 1567-1583): Sage Publications Sage CA: Los Angeles, CA.
Jung, M., Ko, W., Choi, Y., & Cho, Y. (2019). Spatial variations in fertility of South Korea: A geographically weighted regression approach. ISPRS International Journal of Geo-Information, 8(6), 262.
Kirk, D. (1996). Demographic transition theory. Population Studies, 50(3), 361-387.
Lesthaeghe, R. (2010). The unfolding story of the second demographic transition. Population and development review, 36(2), 211-251.
Lesthaeghe, R. (2014). The second demographic transition: A concise overview of its development. Proceedings of the National Academy of Sciences, 111(51), 18112-18115.
Lesthaeghe, R. (2020). The second demographic transition, 1986–2020: sub-replacement fertility and rising cohabitation—a global update. Genus, 76(1), 1-38.
Lesthaeghe, R., & Van de Kaa, D. J. (1986). Twee demografische transities. Bevolking: groei en krimp, 1986, 9-24.
Loftin, C., & Ward, S. K. (1983). A spatial autocorrelation model of the effects of population density on fertility. American Sociological Review, 121-128.
Montgomery, M. R., & Casterline, J. B. (1993). The diffusion of fertility control in Taiwan: Evidence from pooled cross-section time-series models. Population Studies, 47(3), 457-479.
Porter, J. R., & Purser, C. W. (2010). Social disorganization, marriage, and reported crime: A spatial econometrics examination of family formation and criminal offending. Journal of Criminal Justice, 38(5), 942-950.
Raymo, J. M., Park, H., Xie, Y., & Yeung, W.-j. J. (2015). Marriage and family in East Asia: Continuity and change. Annual review of sociology, 41, 471-492.
RIFQI, A. (2023). Identification of factors affecting the cases of under-age female marriage using geographically weighted panel regression approach in south kalimantan province. Proceedings of The International Conference on Data Science and Official Statistics (Vol. 2023, No. 1, pp. 537-545).
Saardchom, N., & Lemaire, J. (2005). Causes of increasing ages at marriage: An international regression study. Marriage & family review, 37(3), 73-97.
Schoen, R., Astone, N. M., Kim, Y. J., Rothert, K., & Standish, N. J. (2002). Women's employment, marital happiness, and divorce. Social forces, 81(2), 643-662.
Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic geography, 46(sup1), 234-240.
Voss, P. R. (2007). Demography as a spatial social science. Population research and policy review, 26, 457-476.
Wilson, T., Shalley, F., & Perales, F. (2020). The geography of Australia's marriage Law postal survey outcome. Area, 52(1), 164-175.
Yang, T.-C., Shoff, C., & Matthews, S. A. (2013). Examining the spatially non-stationary associations between the second demographic transition and infant mortality: A Poisson GWR approach. Spatial demography, 1, 17-40.
王怡文 (2018)。2015 年台南市登革熱疫情分佈狀況及擴散因素分析: National Taiwan Normal University (Taiwan)，碩士倫文。
朱思樺 (2012)。臺灣未婚女性結婚意願之探究-[不婚] 還是 [想婚而不得婚]? 東吳大學社會學系，碩士論文。
利翠珊(2002)。婆媳與母女: 不同世代女性家庭經驗的觀點差異。女學學誌: 婦女與性別研究(13), 179-218.
李宗儒、陳昭榮、李妙純 (2021)。台灣大腸癌死亡率之空間分析. Taiwan Journal of Publich Health/Taiwan Gong Gong Wei Sheng Za Zhi, 40(2).
李俊達 (2019)。青年婚育態度與創新婚育政策主觀評價之研究。行政暨政策學報，68，49-80。
李瑞陽、陳勝義（2010）。台中市搶奪犯罪熱點與犯罪區位之空間分析。地理研究（53），頁 23-48。
林庭嘉 (2021)。不同尺度空間插值法進行人口分佈推估的比較研究。國立臺灣師範大學地理學系，碩士論文。
林麗珊 (2014)。女性主義與性別關係: 台灣五南圖書出版股份有限公司。
紀玉臨、周孟嫻、謝雨生(2009)。台灣外籍新娘之空間分析。人口學刊(38)，67-113。
胡立諄、賴進貴（2006）。臺灣女性癌症的空間分析。臺灣地理資訊學刊，4，頁 39-55。
周昱賢 (2016)。影響臺北市住宅供給之因素探討:土地細碎與開發政策的觀點。國立政治大學地政學系，碩士論文。
袁詠蓁、孔祥明（2022）。結婚不結婚: 臺灣適婚年齡者進入婚姻與否的考量因素。Journal of Population Studies（64），頁 1-49。
高旭繁、陸洛 (2006)。夫妻傳統性/現代性的契合與婚姻適應之關聯。本土心理學研究》(台灣)(25)，47-100。
張明正、李美慧（2001）。臺灣地區人口轉型後之生育趨勢與展望。人口學刊， 23，頁 93-112。
張榮富、范慧美、許淑娟、王杏玫、韓秀妮（2015）。台灣未婚男女擇偶機會的近期變化及城鄉差異。Urban/ Rural and Gender Difference of Age-specific Marriage Opportunity， 4:2，頁 067-104。
郭家玲 (2012)。影響單親家長再婚意向相關因素之探討。國立臺灣大學社會工作學系，碩士論文。
黃宜庭 (2011)。人口旅運動態與登革熱傳播的時空分析。國立台灣大學地理環境資源學系碩士論文。
楊國樞 (1997)。父子軸家庭與夫妻軸家庭：運作特徵、變遷方向及適應問題 (Vol. 研究報告)。台北: 國家科學委員會。
楊靜利（2004）。同居的生育意涵與台灣同居人數估計。台灣社會學刊， 32，頁 189-213。
楊靜利、李大正、陳寬政 (2006)。台灣傳統婚配空間的變化與婚姻行為之變遷。 Journal of Population Studies，33，1-32。
溫在弘、劉擇昌、林民浩. (2010)。犯罪地圖繪製與熱區分析方法及其應用: 以 1998-2007 年台北市住宅竊盜犯罪為例。地理研究，52，43-63.
劉君雅、鄧志松、唐代彪 (2009)。臺灣低生育率之空間分析。人口學刊(39)，119-155。
蔡文輝 (2007)。婚姻與家庭-家庭社會學: 五南圖書出版股份有限公司。
蔡淑鈴（1994a）。臺灣之婚姻配對模式。人文及社會科學集刊，6:2,335-371。
鄧志松、吳親恩、柯一榮 (2012)。廢票為何發生? 兼論臺灣選舉無效票之空間效應，1992-2008。選舉研究，19(2)，71-100。
鍾秉融（2017）。我還不想結婚：七位女性對於婚姻的共同想像。未出版之13:3論文，國立臺灣科技大學Not Just Yet: The Common Concept of Marriage Among Seven Women，台灣。