| Summary: | The selection of optimal routes can save time and cost in handling the waste. Thus, the current study was designed to optimise the waste disposal routes with the possible shortest travel time using geographic information system (GIS). The collected data were analysed through statistical tools, including Pearson's correlation and regression analysis, using SPSS, version 20. The explanation from the linear regression analysis indicated that 67.4% of the variables selected for the regression gave reasonable indications for the analysis of waste transportation time in the study area. In addition, the other independent variables such as population and number of stops also have a positive and significant impact on the travel time. The resulted predictive model showed the best suitability that could be implemented to resolve the basic solid waste problems in other cities of Pakistan. Furthermore, it can be used to capture data from different fields to resolve transport problems.
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