Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State
Spatially aggregated data are prone to the effects of the modifiable areal unit problem (MAUP), which applies to built environments and traffic data. Although various studies have been carried out to explore the impact of built environment factors on traffic systems, few have considered MAUPs, which...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/8288248 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832563281753014272 |
---|---|
author | Tian Li Mengmeng Zhang Haobin Jiang Peng Jing |
author_facet | Tian Li Mengmeng Zhang Haobin Jiang Peng Jing |
author_sort | Tian Li |
collection | DOAJ |
description | Spatially aggregated data are prone to the effects of the modifiable areal unit problem (MAUP), which applies to built environments and traffic data. Although various studies have been carried out to explore the impact of built environment factors on traffic systems, few have considered MAUPs, which may result in statistical inconsistency. The purpose of this study is to assess the effects of MAUPs on statistical variables and geographically weighted regression results when evaluating the influence of the built environment on the traffic system state. Fifty sets of spatial configurations were created using the different aggregation criteria. The variance inflation factor and spatial autocorrelation of the variables, as well as the R2 and root mean squared error of the GWR model, were used to assess the MAUP effect. The results show that the index variation is more dependent on the scale of the spatial unit than on zoning type. In the case study presented, based on the available dataset, the optimal spatial unit size for analyzing the influence of the built environment on Jinan’s traffic system was 900 m × 900 m. |
format | Article |
id | doaj-art-370d739410924f0ca659cd02e3721eac |
institution | Kabale University |
issn | 2042-3195 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-370d739410924f0ca659cd02e3721eac2025-02-03T01:20:35ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/8288248Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System StateTian Li0Mengmeng Zhang1Haobin Jiang2Peng Jing3School of Transportation and Logistics EngineeringSchool of Transportation and Logistics EngineeringSchool of Automotive and Traffic EngineeringSchool of Automotive and Traffic EngineeringSpatially aggregated data are prone to the effects of the modifiable areal unit problem (MAUP), which applies to built environments and traffic data. Although various studies have been carried out to explore the impact of built environment factors on traffic systems, few have considered MAUPs, which may result in statistical inconsistency. The purpose of this study is to assess the effects of MAUPs on statistical variables and geographically weighted regression results when evaluating the influence of the built environment on the traffic system state. Fifty sets of spatial configurations were created using the different aggregation criteria. The variance inflation factor and spatial autocorrelation of the variables, as well as the R2 and root mean squared error of the GWR model, were used to assess the MAUP effect. The results show that the index variation is more dependent on the scale of the spatial unit than on zoning type. In the case study presented, based on the available dataset, the optimal spatial unit size for analyzing the influence of the built environment on Jinan’s traffic system was 900 m × 900 m.http://dx.doi.org/10.1155/2022/8288248 |
spellingShingle | Tian Li Mengmeng Zhang Haobin Jiang Peng Jing Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State Journal of Advanced Transportation |
title | Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State |
title_full | Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State |
title_fullStr | Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State |
title_full_unstemmed | Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State |
title_short | Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State |
title_sort | understanding the modifiable areal unit problem and identifying appropriate spatial units while studying the influence of the built environment on the traffic system state |
url | http://dx.doi.org/10.1155/2022/8288248 |
work_keys_str_mv | AT tianli understandingthemodifiablearealunitproblemandidentifyingappropriatespatialunitswhilestudyingtheinfluenceofthebuiltenvironmentonthetrafficsystemstate AT mengmengzhang understandingthemodifiablearealunitproblemandidentifyingappropriatespatialunitswhilestudyingtheinfluenceofthebuiltenvironmentonthetrafficsystemstate AT haobinjiang understandingthemodifiablearealunitproblemandidentifyingappropriatespatialunitswhilestudyingtheinfluenceofthebuiltenvironmentonthetrafficsystemstate AT pengjing understandingthemodifiablearealunitproblemandidentifyingappropriatespatialunitswhilestudyingtheinfluenceofthebuiltenvironmentonthetrafficsystemstate |