The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price

Abstract

Recent literature has highlighted the critical issue of urban land value and cost; properly assessing land use costs, particularly for residential and commercial purposes, is crucial in influencing urban development and investments. Therefore, the objective of this research is to create a model for land pricing that considers the urban street networks and hierarchy; by analyzing the spatial plan of the city using space syntax and evaluating the economic impact on land value, the study aims to identify the factors that influence land prices. Furthermore, the study intends to investigate the correlation between urban spatial networks, street hierarchy, and land price to create a predictive model for urban spatial land pricing. Ultimately, the study has successfully built a model for predicting the price of urban land. The case selected is evaluated and compared in three aspects of the analysis, including the urban axial assessments and urban street width, to find out their impacts on the real estate’s land price in the context of the land use distributions, which are predominantly residential and commercial types of uses. Depth map X8, SPSS, and QGIS 3.16 were used for the study evaluations and assessments. The study found that land prices are influenced by factors such as integration, connectivity, and street width. Commercial zones with good integration and wider roads tend to command higher prices, while narrow local roads generally have lower prices. This result can enhance future urban design regarding urban economy improvements and land costs.

Assessing Established Residential Compounds between Regulation and Reality Utilizing Space Syntax Theories

“…Numerous graph studies of the space elements were created by space syntax in particular, Segment Analysis (SG), Agent-Based Modelling (ABM), and Axial Analysis, including Connectivity Analysis (CA), and Line Length Analysis (LLA) [8]. These analyses are the outcomes of critically examining the connections between various space components.…”

“…Space syntax has proven its ability in contributing to introduce healthier, safer, and more efficient layouts [6], through connectivity, distribution of land uses, organizing movement, impact on crime, altering the carbon footprint of cities, and influencing land value growth [5,7]. It is important to note that many researchers from the region have been interested in the factors affecting land values and their relationships with urban spatial networks, and street hierarchy [8].…”