摘要
「在地老化」是英國政策的一個重要組成部分,旨在支持老年人盡可能長時間地住在自己的家中和社區。 雖然範圍廣泛,但該領域的學術文獻並未充分研究「在地老化」與「家」體驗隨時間變化之間的相互聯繫。

本文通過將縱向數據的定性二次分析與關於「家」的批評文獻和梅森(Mason)的「親和力」的前衛概念結合起來,以一種新穎的方式解決了這一差距,以了解與居家養老相關的家的多維性。

這篇文章在方法論、實證和對家庭學術領域的理論貢獻,通過展示家庭是如何隨著時間的推移建造和崩解的。關於家的討論有機地出現在關注人們旅行和交通使用的縱向數據中,使我們的定性二次分析方法能夠重新審視人們在住宅內外的強大聯繫如何動態地塑造家的體驗。

文章對四個案例研究進行了實證分析,建議未來就地老齡化領域的討論應更加關注隨著時間的推移影響「建立/崩解」家體驗的因素,例如:身心健康如何惡化,可以塑造人們如何體驗他們的住所和社區以及他們在這些環境中的關係。

原文

Ageing in Place Over Time: The Making and Unmaking of Home

Abstract
‘Ageing in place’ is a key component of UK policy, aimed at supporting older people to remain living in their own homes and communities for as long as possible. Although wide-ranging, the
scholarly literature in this field has not sufficiently examined the interconnections between ageing in place and the changing experience of ‘home’ over time. This article addresses this gap in a novel way by bringing together qualitative secondary analysis of longitudinal data with critical literature on ‘home’ and Mason’s cutting-edge concept of ‘affinities’ to understand the multi-dimensionality of home in relation to ageing in place. The article makes significant methodological, empirical, and
theoretical contributions to the field of scholarship on home, by demonstrating how homes are made and unmade over time. Discussions of home emerged organically in the longitudinal data that focused on people’s travel and transport use, allowing our qualitative secondary analysis approach to look anew at how experiences of home are dynamically shaped by people’s potent connections inside and outside the dwelling. Presenting an empirical analysis of four case studies, the article suggests that future discussions in the field of ageing in place should pay closer attention to the factors that shape experiences of the un/making of home over time, such as how deteriorating physical and mental health can shape how people experience their dwelling and neighbourhood
as well as their relationships across these settings.

Keywords: affinities, ageing in place, home, longitudinal research, qualitative secondary data analysis