本研究は,地域に対して人々が抱くイメージと地域固有の属性とに基づいて,人々の認知する地域のイメージの構造を,東京都区部および周辺地域を対象に明らかにした.方法は,Downs and Stea (1973) の地理的環境,行動的環境の概念およびGould and White (1974) の知覚のフィルターに関する概念に基づいた.本研究は第1段階として,地域分化の明確な居住者と,これをとりまく諸要素から地域に特徴的なものを抽出した.第2段階として,その地域のイメージとこれら要素を対照して,地域のイメージに関連したとみられるものを選出した.最後に選出された要素と,関連づけられた地域のイメージの空間的広がりに基づいて人々の認知する地域のイメージの配列形態を求め,その構造を明らかにした.この結果,人々に認知された地域のイメージは,都心を中心として不規則な境界を接して配列し,さまざまな居住者や要素との関連に基づいていくつかの方向性を示すことが明らかになった.

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本研究は,浜松都市圏の機械金属工業の立地動態を,生産体制の視点から分析したものである. 1957年から1988年までの32年間を4つの時期に区分して分析を行なった結果,相対的にみて,周辺地域への分散的な立地が顕著な時期と,中心集積地域内への求心的な立地が顕著な時期があることが判明した.さらに業種類型別に検討し,資本集約化が著しく進展する時期,および,単純労働に依存する部門において分業化が進展する時期には,分散的な立地が顕著であり,熟練労働に依存する部門において分業化が進展する時期には,中心集積地域への求心的な立地が顕著であることを指摘した.とりわけ,日本経済の低成長期にあたる1973年から1980年にかけては,後者の傾向が優勢であり,この時期には,自動車メーカーにおける設備投資が停滞する下で,数多くの下請業者が発生し,それらは既存集積地の周囲に滞留することになった.

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Migration can be classified as either regional migration or residential mobility, depending on the presence or absence of changes in migrants' jobs (Clark, 1985). Regional migration disrupts the general patterns of particular jobs by long-distance moves. Residential mobility does not necessarily disrupt job patterns, but involves short-distance moves to improve housing conditions. In order to understand the characteristics of residential mobility in the suburban areas of the Tokyo Metropolitan Area (M. A.), this paper attempts to clarify the relationship between residential mobility and household attributes based on the direction and the distance of the move, using Chiba City as a case study. The results of the analysis are as follows:
The relationship between the direction of residential mobility and household attributes: The migrants' residences before moving to Chiba City were distributed all over Chiba Prefecture, the eastern part of Kanagawa, the southeastern part of Saitama Prefecture, and the eastern part of the Tokyo Metropolis (Fig. 1). The author designates these areas of distribution as the residential mobility area of Chiba City.
All household moves are grouped into the following categories: 1) the 23 wards of Tokyo, 2) the areas along the Sobu Line, 3) other areas in Chiba Prefecture, and 4) all other moves'. The moves in Groups (1) and (2), which constitute about 55% of all moves, can be explained with the sectoral theory of Adams (1969). The moves in Groups (3) and (4), on the other hand, cannot be explained by Adams' theory. As the moves are analyzed in terms of the commuting destinations of household heads, the proportion of those who commute to Chiba City is higher for Group (3) than for the other three groups, while 83% of those belonging to Group (4) commute to the 23 wards of Tokyo (Table 5).
The relationship between the distance of residential mobility and household attributes: Hayashi's Quantification Theory I was applied in order to elucidate this relationship. It was found that the types of housing before and after the move were the most important determinants of the moving distance. The category score for each of the attributes shows that moving into one's own independent house lengthens the moving distance and that moving from one's own independent house shortens it (Fig. 2). The next important factor affecting the moving distance is the source of housing information. Moves based on housing information magazines result in a longer moving distance, because those magazines cover the entire Tokyo M. A.
The correlation coefficient between the calculated moving distance based on Quantification Theory I and the actual moving distance is 0.465. Calculated on the basis of the commuting destination of household heads, the correlation coefficient for those commuting to Chiba City is 0.732, for those commuting to the 23 wards of Tokyo 0.458, and for those commuting to other areas 0.763. The moving distance of households with the head commuting to Tokyo appears to be influenced by other factors as well.

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