224x Filetype PPTX File size 2.47 MB Source: www.satc.org.za
CONTENTS • Introduction • Background • Macro modeling in eThekwini • Data required • Review of the various plans • Key findings emanating from past plans • Implementation of the plans • How has modeling influenced the landscape of SA cities • Future predictions • Conclusions • Recommendations INTRODUCTION • eThekwini has been at the forefront of transportation planning and macro modeling has been underpinning much of the work • Paper explores the journey of transportation planning -highlighting the traffic predictions • Commentary on the accuracy of the predictions, challenges and key opportunities • Journey has been influenced by the political landscape , mode choice and technology • Future landscape explored INTRODUCTION population grown fivefold to about 3.6 m Shape and size of the city has grown Large volumes of data 2 from 800 km to 2200 km2 C i t y i n bet Better prediction of te r po si t traffic io n to Many models developed p re pa r a e n s d ho l r o t, ng m ra e n d i g u e m pl a ns CONTENTS • Introduction • Background • Macro modeling in eThekwini • Data required • Review of the various plans • Key findings emanating from past plans • Implementation of the plans • How has modeling influenced the landscape of SA cities • Future predictions • Conclusions • Recommendations BACKGROUND • Transportation and City Development • Former Durban City boundary transformed • 800 to 2500 km2 • Political changes since 1994 • Consolidation of 25 smaller local authorities • Dramatic impact on service delivery – low pop densities and underserviced areas • Transport sector transition has been seamless
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