Commuting paradox of the technopole Newtown: A case study in the Seoul Metropolitan Area.

This study examines the relationship between different types of new town development and their impact on commuting patterns. It provides an empirical analysis of how development in Technopole Newtown and Residential Newtown influences commuting time and distance. Technopole Newtown is characterized by a blend of technological institutional clusters and residential development, while Residential Newtown primarily emphasizes residential development. Seoul Metropolitan Area was chosen as the case study, with data sourced from the Household Travel Survey. This study reveals a surprising commuting paradox in Technopole Newtown, where the plan was to blend job opportunities with residential development. The findings indicate that commuters did not benefit. Instead, they endured longer commutes in both time and distance compared to those in Residential Newtown, which is typically characterized as a bedroom community. The integration of job opportunities for the development of new towns should be considered a crucial factor in creating urban sustainability in the future.

In what ways does placeness affect people's behavior? Focusing on personal place attachment and public place image as connecting parameter.

Placeness is believed to play a significant role in enhancing the well-being and place-use of individuals, contributing profoundly to how spaces are experienced and interacted with. Despite its perceived importance, there is ongoing debate and insufficient clarity about how exactly placeness influences people's behavior. This study aims to bridge this gap by theorizing and investigating the pathways from placeness to people's behavioral intentions, emphasizing the roles of personal place attachment and public place image as pivotal mediators in this relationship. To explore these dynamics, we conducted a survey in Japan, examining the complex interplay between placeness and behavioral intentions, given their rich cultural heritage and modern urban pressures. We employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach for path analysis. The analysis suggests that placeness influences behavioral intention through personal place attachment. While placeness does affect public place image, this public image does not have an impact on behavioral intention. The results demonstrated that an individual's activities, experiences, and cognition of a place are significant factors in creating the intention to engage in word-of-mouth, recommendation, and revisiting behaviors. Policymakers, urban planners, and designers need to understand how to foster people's behavioral intentions when creating a place imbued with placeness.