In this scientific article, we used Helsinki's open-source database to investigate the evolution of accessibility from 1991 to 2016. Our study addresses the challenge of accessing critical services in rapidly urbanizing areas. Traditional methods using complex networks theory offer insights into transportation systems' accessibility, but they often overlook the nuances of specific services. Therefore, we employed the self-avoiding random walk (SARW) algorithm and spatial data analysis techniques to understand temporal changes and shifts in spatial accessibility to education facilities. We used the data from 1991 to 2016 from Helsinki's open-source database to showcase the proposed methodology. Our findings revealed a granular understanding of accessibility evolution through using SARW overcomes the limitations of traditional isochrone-based accessibility evaluation. Unlike static accessibility zones, SARW metrics adapt to the dynamic nature of educational facility accessibility, offering detailed insights. By illustrating its effectiveness through the Helsinki case study, we also showcase the transformative power of open data in unraveling complex urban challenges.
You can freely access the publication here: https://appliednetsci.springeropen.com/articles/10.1007/s41109-023-00581-4
