본문 바로가기
  • Home

A Study on Classification and Characterization of Water-Friendly Space for the Smart River Space Management Using the Mobile Big Data

Jongso Lee 1 Lee Sangeun 1

1국토연구원

Accredited

ABSTRACT

For national and local policies related to urban development and regeneration, welfare, culture and tourism, it is very important for river managers to designate and operate water-friendly river spaces in accordance with residents’ demands. Using mobile big data verified by the previous study (Lee, Lee and Choi 2019), this study aims to propose scientific ways to characterize water-friendly river spaces. First, it suggests clear criteria regarding how frequently a river space is visited by residents: river spaces are classified to five grades over the log-normal distribution in the number of visits per area. Second, it infers residents’ purposes to visit a river space: the purposes are characterized to five groups, which largely depends on whether a river space is used as a place for neighborhood-convenience facilities, or as one for culture and tourist facilities for regional revitalization. Third, this study suggests a step-wise method for determining water-friendly hub spaces deliberately using all results. This study concludes that river managers should apply more scientific ways to designate and operate water-friendly river spaces while monitoring residents’ visits closely with mobile big data.

Citation status

* References for papers published after 2023 are currently being built.