Multivariate regression model between land uses and road density
Road development is a costly affair, thus it is imperative to plan it properly. One aspect of planning is by determining the effects of land uses on road development or vice–versa. This study attempts to functionally link road development and land uses using two towns, i.e. Johor Bahru and Sungai...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Faculty of Civil Engineering, UTM
2008
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| Online Access: | http://eprints.utm.my/8743/1/MZShah2008-Multivariate_Regression_Model_Between_Land.pdf |
| _version_ | 1825910246481068032 |
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| author | Zaly, Mohammad Che Puan, Othman |
| author_facet | Zaly, Mohammad Che Puan, Othman |
| author_sort | Zaly, Mohammad |
| collection | ePrints |
| description | Road development is a costly affair, thus it is imperative to plan it properly. One aspect of planning is by determining the effects of land uses on road development or vice–versa. This study attempts to functionally link road development and land uses using two towns, i.e. Johor Bahru and Sungai Petani, as samples. Road development, the dependent variable, is represented by road density; and land uses are represented by 15 variables encompassing households, employment and property components. The multivariate regression model for these two cities shows that a parsimonious model is possible to adequately describe the relationship between road density and land uses. However, evidence indicates that a separate regression
model as a common, single model for the whole nation is not possible.
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| first_indexed | 2024-03-05T18:14:14Z |
| format | Article |
| id | utm.eprints-8743 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:14:14Z |
| publishDate | 2008 |
| publisher | Faculty of Civil Engineering, UTM |
| record_format | dspace |
| spelling | utm.eprints-87432010-06-02T01:57:35Z http://eprints.utm.my/8743/ Multivariate regression model between land uses and road density Zaly, Mohammad Che Puan, Othman TA Engineering (General). Civil engineering (General) Road development is a costly affair, thus it is imperative to plan it properly. One aspect of planning is by determining the effects of land uses on road development or vice–versa. This study attempts to functionally link road development and land uses using two towns, i.e. Johor Bahru and Sungai Petani, as samples. Road development, the dependent variable, is represented by road density; and land uses are represented by 15 variables encompassing households, employment and property components. The multivariate regression model for these two cities shows that a parsimonious model is possible to adequately describe the relationship between road density and land uses. However, evidence indicates that a separate regression model as a common, single model for the whole nation is not possible. Faculty of Civil Engineering, UTM 2008 Article PeerReviewed application/pdf en http://eprints.utm.my/8743/1/MZShah2008-Multivariate_Regression_Model_Between_Land.pdf Zaly, Mohammad and Che Puan, Othman (2008) Multivariate regression model between land uses and road density. Geotechnical & Highway Engineering . http://www.fka.utm.my/jgp/ |
| spellingShingle | TA Engineering (General). Civil engineering (General) Zaly, Mohammad Che Puan, Othman Multivariate regression model between land uses and road density |
| title | Multivariate regression model between land uses and road density
|
| title_full | Multivariate regression model between land uses and road density
|
| title_fullStr | Multivariate regression model between land uses and road density
|
| title_full_unstemmed | Multivariate regression model between land uses and road density
|
| title_short | Multivariate regression model between land uses and road density
|
| title_sort | multivariate regression model between land uses and road density |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/8743/1/MZShah2008-Multivariate_Regression_Model_Between_Land.pdf |
| work_keys_str_mv | AT zalymohammad multivariateregressionmodelbetweenlandusesandroaddensity AT chepuanothman multivariateregressionmodelbetweenlandusesandroaddensity |