Transport Accessibility in a Suburban Zone and Its Influence on the Local Real Estate Market: A Case Study of the Olsztyn Functional Urban Area (Poland)

Abstract

The development of real estate markets in the vicinity of cities is linked with suburbanization processes. The migration of the population to suburban areas contributes to the growth of the residential property market (houses, apartments and construction plots). To minimize commuting costs, property buyers opt for locations that are situated close to the urban core. This article analyzes construction plots on the local real estate market in the Olsztyn Functional Urban Area, in terms of their temporal accessibility and demographic changes. Spatial variations in population distribution were analyzed with the use of the Gini index and geostatistical interpolation techniques. Spearman’s rank correlation coefficient was calculated to determine the relationships between the analyzed variables. The study revealed differences in the spatial distribution of the population and real estate transactions as well as strong correlations between average transaction price, number of transactions, commuting time and population. The highest number of transactions were observed in cadastral districts situated in the direct vicinity of Olsztyn’s administrative boundaries and the major transportation routes due to their high temporal accessibility.

Estimation of Vehicle Traffic Parameters Using an Optical Distance Sensor for Use in Smart City Road Infrastructure

“…Consequently, the resultant changes in the spatial distribution of road network access points trigger abrupt shifts in traffic parameters within the respective areas, noticeably impacting traffic dynamics. This phenomenon is compounded by the increasing suburbanization of urban space [8][9][10][11][12].…”

Land as a Basis for Recent Progress in the Study of Urbanization Dynamics

“…Transport accessibility in the suburban zone and its impact on the local real estate market, in view of commuting time and demographic changes. The spatial differentiation in population distribution was analyzed with the use of the Gini index and geostatistical interpolation techniques [13].…”