The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/7/1610 |
| _version_ | 1797590026833362944 |
|---|---|
| author | Hawnaz Magid Abdulla Muammal Alaaddin Ibrahim Wahda Shuker Al-Hinkawi |
| author_facet | Hawnaz Magid Abdulla Muammal Alaaddin Ibrahim Wahda Shuker Al-Hinkawi |
| author_sort | Hawnaz Magid Abdulla |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T01:14:31Z |
| format | Article |
| id | doaj.art-557d4bc078984549b4b31899499f6f8b |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-11T01:14:31Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-557d4bc078984549b4b31899499f6f8b2023-11-18T18:36:14ZengMDPI AGBuildings2075-53092023-06-01137161010.3390/buildings13071610The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land PriceHawnaz Magid Abdulla0Muammal Alaaddin Ibrahim1Wahda Shuker Al-Hinkawi2Department of Architecture, College of Engineering, Salahaddin University, Erbil 44002, IraqDepartment of Architecture, College of Engineering, Tishik University, Erbil 44002, IraqDepartment of Architectural Engineering, University of Technology, Baghdad 10066, IraqRecent 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.https://www.mdpi.com/2075-5309/13/7/1610land marketingland priceland useland valuereal estateroad classifications |
| spellingShingle | Hawnaz Magid Abdulla Muammal Alaaddin Ibrahim Wahda Shuker Al-Hinkawi The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price Buildings land marketing land price land use land value real estate road classifications |
| title | The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price |
| title_full | The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price |
| title_fullStr | The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price |
| title_full_unstemmed | The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price |
| title_short | The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price |
| title_sort | impact of urban street network on land value correlate syntactical premises to the land price |
| topic | land marketing land price land use land value real estate road classifications |
| url | https://www.mdpi.com/2075-5309/13/7/1610 |
| work_keys_str_mv | AT hawnazmagidabdulla theimpactofurbanstreetnetworkonlandvaluecorrelatesyntacticalpremisestothelandprice AT muammalalaaddinibrahim theimpactofurbanstreetnetworkonlandvaluecorrelatesyntacticalpremisestothelandprice AT wahdashukeralhinkawi theimpactofurbanstreetnetworkonlandvaluecorrelatesyntacticalpremisestothelandprice AT hawnazmagidabdulla impactofurbanstreetnetworkonlandvaluecorrelatesyntacticalpremisestothelandprice AT muammalalaaddinibrahim impactofurbanstreetnetworkonlandvaluecorrelatesyntacticalpremisestothelandprice AT wahdashukeralhinkawi impactofurbanstreetnetworkonlandvaluecorrelatesyntacticalpremisestothelandprice |