1 / 14

By: M Nkosi Dr Mathetha Mokonyama Dr Paul Mokilane

PROSPECTS FOR USING CORRESPONDENCE ANALYSIS TO CHARACTERISE TRAVEL DEMAND FOR PLANNING AUTHORITIES WITH LIMITED TRANSPORT MODELLING RESOURCES. 38 th Southern African Transport Conference 8 July 2019. By: M Nkosi Dr Mathetha Mokonyama Dr Paul Mokilane. About the presentation

stuart
Download Presentation

By: M Nkosi Dr Mathetha Mokonyama Dr Paul Mokilane

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. PROSPECTS FOR USING CORRESPONDENCE ANALYSIS TO CHARACTERISE TRAVEL DEMAND FOR PLANNING AUTHORITIES WITH LIMITED TRANSPORT MODELLING RESOURCES 38th Southern African Transport Conference 8 July 2019 By: M Nkosi Dr Mathetha Mokonyama Dr Paul Mokilane

  2. About the presentation Currently used methods Correspondence Analysis (CA) and Logistic Regression Case study Concluding remarks

  3. About the presentation • Overview of the current used methods • The use of CA, supplemented by LR to showcase the initial characterisation of travel demand

  4. Current planning practices: Entry requirements • High quality and quantity data requirements • Technical human resource requirements • Specialised software requirements

  5. Process followed to estimate travel demand

  6. About the Correspondence Analysis • Classification technique • Graphical in nature • There are no assumption on the underlying distribution hence able accommodate • binary, • ordinal or • nominal

  7. About the Multi Logistical regression used • The following form was used • logistic regression used variables generated from CA

  8. Case study

  9. Household travel surveys • Purpose • To assist with evidence led transport planning. • To measure the performance of the transport system. • Used for strategic transport models • Typically comprised of: • Household Characteristics • Person attributes • Trip making • Use of and attitudes towards public transport • services

  10. Process followed: • Limit the dataset in the household survey to part of the network that have the variety of service • Assume there is adequate access • Use variables from the CA to calibrate the LR models • Calibrate the regression models for each modes.

  11. Using CA to obtain variable

  12. Case Study: results

  13. Concluding remarks • CA and LR is possible alternative method • Not meant to replace Discrete choice models in characterising travel demand especially for the bigger municipalities, • Useful for municipalities where there are constraints in terms of resources • Largely samples required to better calibrate the models

  14. Thank you…….

More Related