Mathematical Modeling Considering Air Pollution Of Transportation: An Urban Environmental Planning, Case Study In Petaling Jaya, Malaysia
AbstractThis paper provides the findings on a project undertaken to develop a geo-spatial mathematical model relating landuse, road type and air quality. The model shows how spatial elements and issues were quantified to accurately represent the usual and unusual urban environment in the development of residential land-use. The mathematical relationship was based on the optimum distance between residential area and urban transportation network. This mathematical analysis would provide a better planning for urban transportation. The spatial data (urban land-use and urban network development) were generated using satellite images, aerial photos and land use maps. Geospatial analyses were performed to find the effect and impact of urban air quality with respect to urban transportation networks. The output of the study would assist the task to reduce negative transport environmental impacts particularly in the field of air pollution. It would also be useful in identifying the potential residential area with respect to urban transportation network towards achieving sustainable development.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Research Centre in Public Administration and Public Services, Bucharest, Romania in its journal Theoretical and Empirical Researches in Urban Management.
Volume (Year): 4 (2009)
Issue (Month): 4(13) (November)
Transportation; Model; Air pollution; urban environment; land use.;
Find related papers by JEL classification:
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
- R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Colesca Sofia) The email address of this maintainer does not seem to be valid anymore. Please ask Colesca Sofia to update the entry or send us the correct address.
If references are entirely missing, you can add them using this form.