4.6 Article

GIS-Based Evaluation Method for Accessibility of Social Infrastructure Facilities

Journal

APPLIED SCIENCES-BASEL
Volume 11, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/app11125581

Keywords

social infrastructure planning; accessibility; access-based approach; geographic information system; navigation API

Funding

  1. Incheon National University

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There are two approaches to social infrastructure planning: population-based and access-based. This study proposes a comprehensive evaluation method for accessibility and identifies residential areas with poor access. The method includes creating accessibility maps to effectively pinpoint residential areas with poor access.
Social infrastructure is provided to improve the quality of life of residents. There are two approaches to social infrastructure planning: (1) a population-based approach and (2) an access-based approach. A plan for the social infrastructure facilities in South Korea has been developed based on the population or number of households in a region. Recently, the South Korean government presented a guideline in which accessibility is included in the criteria. This study proposes a comprehensive evaluation method for the accessibility of social infrastructure and for identifying residential areas with poor access. To obtain the travel time between the residence and the social infrastructure facility, we employed a navigation application programming interface that provides a travel time that reflects the resistances in an actual situation. The accessibility index (AI) is defined as a population-weighted average travel time. We also identified residential areas with poor access to social infrastructure by creating accessibility maps. This study includes social infrastructure facilities, such as parks, libraries, elementary schools, childcare centers, kindergartens, and sports facilities. The method proposed in this study was applied to Namdong-gu, Incheon Metropolitan City, South Korea, to evaluate its applicability. The proposed method has advantages in that (1) the AI is easy to understand because it represents an intuitive index for the overall accessibility in minutes of a region, and (2) accessibility maps effectively identify residential areas with poor access.

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