KJCKorea
Journal Central

This study aims to apply the behavioral economics concept of the nudge to address coastal issues by encouraging voluntary behavioral change among citizens, and to translate this approach into feasible coastal management policy proposals. To this end, the study analyzed 83 domestic and international nudge cases to operationally define and classify nudge types, and conducted a keyword association analysis of news article texts over the past five years to identify key coastal issues. By linking the two analyses, the study identified appropriate nudge types for each coastal issue and designed nudge applications: a Blue Eco Dex for the Gochang Dueori village, and social-norm-based signage and patterned tetrapods for Haeundae-gu. In addition, the feasibility, expected effects, constraints, and outcome indicators with quasi-experimental evaluation designs were proposed for each intervention. The consultations indicated that, while some physical design interventions face limitations due to cost and residents' complaints, the “Blue Eco Dex” and social-norm-based signage show high feasibility for policy implementation. This study is significant in that it presents, at an exploratory level, directions for applying nudges as a means of complementing regulation-centered coastal management.

The Climate Change Impact Assessment (CCIA) is a regulatory system designed to analyze and evaluate greenhouse gas (GHG) emissions and climate change impacts of development projects prior to implementation. Ensuring the effectiveness of GHG reduction measures during the postconsultation management phase is essential. However, the current regulatory framework lacks specific post-management procedures and survey criteria tailored to the characteristics of CCIA. This study analyzed the linkage between GHG reduction measures and post-environmental impact survey plans for six urban development projects for which CCIA was conducted during 2024–2025, and proposed improvements for post-management practices. The analysis identified a total of 26 GHG reduction measures (7 for the construction phase and 19 for the operational phase) and 20 post-environmental impact survey items (9 for the construction phase and 11 for the operational phase). The linkage rates varied considerably across individual reduction measures. While the energy transition/efficiency and carbon sink sectors showed relatively high linkage rates, the resource circulation and hydrogen utilization sectors exhibited low linkage rates, indicating considerable variation in their inclusion in post-management monitoring plans. Furthermore, current post-environmental impact survey plans were found to focus primarily on verifying whether reduction measures had been introduced or installed, while quantitative monitoring items for GHG emissions and carbon absorption remained limited. To address these limitations this study proposed inspection methods leveraging existing legislation and certification systems from the perspective of consultation compliance management. It also proposed an emissions monitoring approach using the Carbon Spatial Maps along with a carbon absorption estimation method based on unmanned aerial vehicle (UAV) multispectral imagery from the perspective of post-environmental impact monitoring. The applicability of the proposed methodologies was examined using a residential complex in Jiphyeon-dong, Sejong Special Autonomous City, as a case application. This study is expected to provide foundational data for developing a more structured post-management framework for CCIA.

Urban regeneration policy has selected project sites based on decline indicators, but decline does not necessarily coincide with poor residential quality, which can result in policy blind spots and inefficient resource allocation. This study conceptualizes this divergence as Decline–Livability Mismatch (DLM) and examines it by constructing a Composite Decline Index (CDI) and a Livability Index (LI) from nationwide municipal panel data, applying cross-classification, spatial autocorrelation analysis, and transition matrix analysis. Decline and livability diverged into increasingly independent dimensions, and municipalities under DLM conditions accounted for approximately 30 percent at each of the three time points. While the spatial clustering of the gap between the two indices strengthened over time, most municipalities with persistent DLM conditions appeared as localized cases rather than as parts of broader regional clusters. These findings suggest complementing the current diagnostic system with a livability perspective, while differentiating interventions according to local context.