Influence of walking accessibility on older people walking preference

Travel behaviour models are necessary to identify travel demand and planning transport systems. Many studies identify various approaches to measure walking accessibility and travel behaviour modelling. However, a limited model is developed to analyse the older peoples' walking as a transport mode preference based on travel time, population, street connectivity and spatial area. This study presented a Binary logistic regression model to observe the older commuters' transport mode preference. This research examines four major travelled destination types (shopping centres, health care centres, education centres and recreational centres) for the elderly. The framework of this study comprises four parts. Firstly, the study develops a walking accessibility index for older commuters to observe the access level. Afterwards, several numbers of the various binary model (BL) are evaluated and compared. The binary models are developed using older commuters' walking accessibility index, socio-economic (gender, relation, car license, car numbers, income, disable parking permit, dwelling type, dwell ownership), and built-in environmental (home sub-region, land mix use) variables. Then two BL model is proposed after model validation. Finally, the best fit model is validated using statistical methods (Omnibus test, Hosmer and Lemeshow test). Moreover, the probabilities of selecting walking as a transport mode by older travellers are analysed by statistical model and compare with actual travel survey datasets. The results confirm that the proposed time-based walking model can describe the older commuters' walk related travel decisions. The proposed walking accessibility index and the preference model can be helpful to plan distributions of essential destinations coverage. Future urban and policy planners can use the walking preference to evaluate older peoples'’ walking access towards different destinations.

Media Info

  • Pagination: 12p
  • Monograph Title: Australasian Transport Research Forum, 8-10 December 2021, Brisbane, Queensland

Subject/Index Terms

Filing Info

  • Accession Number: 01892392
  • Record Type: Publication
  • Source Agency: ARRB Group Limited
  • Files: ITRD, ATRI
  • Created Date: Sep 6 2023 2:04PM