CLASSIFICATION AND CHARACTERISTICS OF ASSOCIATED POPULATION BASED ON RELATIONSHIP WITH THE COMMUNITY

In this study, a new methodology is proposed for classifying associated populations by assessing their emotional and regional ties, utilizing a two-factor attachment style framework. This classification divides the population into four distinct types: Sustained, Dependent, Independent, and Detached, each exhibiting unique characteristics in relation to the region. The findings illustrate how these categories can predict the nature of relationships and emotional commitments to regions. This study also highlights the mutability of regional perspectives influenced by emotional attachments. Drawing from these observations, it recommends specific administrative strategies aimed at enhancing and nurturing positive relationships between populations and regions.

Authors

Institutions

Publication Details

Journal
Journal of Architecture and Planning (Transactions of AIJ)
Published
2024-10-31
DOI
https://doi.org/10.3130/aija.89.2125
Citations
1
Primary Topic
Urban and spatial planning
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CLASSIFICATION AND CHARACTERISTICS OF ASSOCIATED POPULATION BASED ON RELATIONSHIP WITH THE COMMUNITY

Hitomi Sekine, Mitsuki Sato, Hiroyuki Takeda, Atsuko Kaga
1 citations
Journal of Architecture and Planning (Transactions of AIJ)
Urban and spatial planning
0.69
article

CLASSIFICATION AND CHARACTERISTICS OF ASSOCIATED POPULATION BASED ON RELATIONSHIP WITH THE COMMUNITY

Hitomi Sekine, Mitsuki Sato, Hiroyuki Takeda, Atsuko Kaga
article en
1 citations

Abstract

In this study, a new methodology is proposed for classifying associated populations by assessing their emotional and regional ties, utilizing a two-factor attachment style framework. This classification divides the population into four distinct types: Sustained, Dependent, Independent, and Detached, each exhibiting unique characteristics in relation to the region. The findings illustrate how these categories can predict the nature of relationships and emotional commitments to regions. This study also highlights the mutability of regional perspectives influenced by emotional attachments. Drawing from these observations, it recommends specific administrative strategies aimed at enhancing and nurturing positive relationships between populations and regions.

Journal of Architecture and Planning (Transactions of AIJ)Vol. 89(825)
The University of Osaka (JP)
Reduced inequalities
Openalex Percentile: Top 25%
Urban and spatial planning
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.