Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis
Transportation networks have a hierarchical structure, and the spatial scale of their impact on urban growth differs depending on the hierarchy. However, in empirical analyses of the impacts that transportation has on land use and prices, such hierarchy is often examined using dummy variables, and t...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-05-01
|
| Series: | Frontiers in Sustainable Cities |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frsc.2022.905967/full |
| _version_ | 1828808947802308608 |
|---|---|
| author | Daisuke Murakami Hajime Seya |
| author_facet | Daisuke Murakami Hajime Seya |
| author_sort | Daisuke Murakami |
| collection | DOAJ |
| description | Transportation networks have a hierarchical structure, and the spatial scale of their impact on urban growth differs depending on the hierarchy. However, in empirical analyses of the impacts that transportation has on land use and prices, such hierarchy is often examined using dummy variables, and the network dependence and heterogeneity of impacts are often ignored. Thus, this study develops a spatial regression method that considers not only spatial dependence, but also network dependence within a hierarchical transportation network. This method was developed by extending the random effects eigenvector spatial filtering approach. Subsequently, it was applied to a pre-existing analysis that focused on the impacts that high-speed rail (HSR) had on residential land prices in Japan over the last 30 years. The results of the analysis suggested that HSR lines had hierarchical effects on residential land prices. The results also provide interesting insight into the ongoing problem of Japanese urban hierarchy; that is, the excessive concentration of population and industry in the Tokyo metropolitan area. |
| first_indexed | 2024-12-12T08:48:28Z |
| format | Article |
| id | doaj.art-0a5efbaae6b6422e88ada648ad78ace4 |
| institution | Directory Open Access Journal |
| issn | 2624-9634 |
| language | English |
| last_indexed | 2024-12-12T08:48:28Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sustainable Cities |
| spelling | doaj.art-0a5efbaae6b6422e88ada648ad78ace42022-12-22T00:30:20ZengFrontiers Media S.A.Frontiers in Sustainable Cities2624-96342022-05-01410.3389/frsc.2022.905967905967Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price AnalysisDaisuke Murakami0Hajime Seya1Department of Statistical Data Science, Institute of Statistical Mathematics, Tachikawa, JapanDepartment of Civil Engineering, Kobe University, Kobe, JapanTransportation networks have a hierarchical structure, and the spatial scale of their impact on urban growth differs depending on the hierarchy. However, in empirical analyses of the impacts that transportation has on land use and prices, such hierarchy is often examined using dummy variables, and the network dependence and heterogeneity of impacts are often ignored. Thus, this study develops a spatial regression method that considers not only spatial dependence, but also network dependence within a hierarchical transportation network. This method was developed by extending the random effects eigenvector spatial filtering approach. Subsequently, it was applied to a pre-existing analysis that focused on the impacts that high-speed rail (HSR) had on residential land prices in Japan over the last 30 years. The results of the analysis suggested that HSR lines had hierarchical effects on residential land prices. The results also provide interesting insight into the ongoing problem of Japanese urban hierarchy; that is, the excessive concentration of population and industry in the Tokyo metropolitan area.https://www.frontiersin.org/articles/10.3389/frsc.2022.905967/fullhigh-speed railnetwork dependencespatial regressionMoran eigenvectorsland pricesurban form |
| spellingShingle | Daisuke Murakami Hajime Seya Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis Frontiers in Sustainable Cities high-speed rail network dependence spatial regression Moran eigenvectors land prices urban form |
| title | Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis |
| title_full | Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis |
| title_fullStr | Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis |
| title_full_unstemmed | Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis |
| title_short | Spatial Regression in the Presence of a Hierarchical Transportation Network: Application to Land Price Analysis |
| title_sort | spatial regression in the presence of a hierarchical transportation network application to land price analysis |
| topic | high-speed rail network dependence spatial regression Moran eigenvectors land prices urban form |
| url | https://www.frontiersin.org/articles/10.3389/frsc.2022.905967/full |
| work_keys_str_mv | AT daisukemurakami spatialregressioninthepresenceofahierarchicaltransportationnetworkapplicationtolandpriceanalysis AT hajimeseya spatialregressioninthepresenceofahierarchicaltransportationnetworkapplicationtolandpriceanalysis |