Recently, increasing attention has been given to creating new value by establishing evidence-based policy and providing customized service provision through big data analysis and prediction.
The main objectives of this study are to:
(1) construct a database by linking various public data and spatial data, (2) measure the accessibility of childcare facilities by using various accessibility indicators, (3) analyze and evaluate the accessibility improvement effect of the expansion of national and public childcare facilities by using accessibility indicators in addition to existing childcare facility supply indexes, (4) predict the change of transportation accessibility
through the simulation of new placement of the temporal childcare facilities, (5) cluster region by using the demand and supply indicators, accessibility indicators of childcare facilities, (6) provide an empirical basis for policy decisions that could be used directly in establishing and implementing the childcare facilities expansion plan.
We proposed three policy alternatives based on the results of this study.
(1) Legalization of the periodic assessment of the demand and supply adequacy of childcare facilities (3 to 5year cycle) : Extension to various infrastructures in social services area as well as childcare facilities
(2) Establishment and implementation evaluation of plans for expansion of childcare facilities in national and municipal governments by using spatial data linkage and accessibility indicator : Inclusion accessibility indicators in checklists or indicators related to planning and implementation of the expansion plan of childcare facilities
(3) Establishment and evaluation of the evidencebased policy through the construction and utilization of policy decision support system
The methodologies we used here and the results from our empirical analysis provide a basis for improving national and local-level social service infrastructure and childcare facilities.
* Keywords:Spatial data linkage, transportation accessibility analysis (travel time indicator, destination indicator, departure indicator), demand and supply of childcare facilities, national and public childcare facilities, temporal childcare facilities, regional clustering