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.
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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 Systems - - - Transportation: Demand, Supply, and Congestion
- R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - Government Pricing and Policy
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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