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Retracted: An empirical model for Indian senior citizens in traffic management

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  • Biranchi Adhikari
  • Ajay Kumar Behera
  • Rabindra Narayan Mahapatra
  • Harish Chandra Das

Abstract

The paper explores the outcomes of an analysis on day by day task‐journey planning conduct of senior citizens by utilizing a modern dynamic model and a family unit travel overview, gathered in Bhubaneswar, Odisha, of India in 2018. The task journey planning display assumes a unique time–space‐constrained planning development. The main commitment of the article is to reveal day by day task‐journey planning conduct through a comprehensive dynamic framework. Numerous behavioural subtleties are revealed by the subsequent empirical model. These incorporate the role that income plays in directing outside time consumption decisions of senior citizens. Senior citizens in the most elevated and least salary classes will, in general, have minor varieties in time consumption decisions than those in middle pay classifications. Generally speaking, the time consumption decisions become progressively steady with expanding age, demonstrating that more task durations and lower task recurrence become progressively predominant with increasing age. Day by day task type and area decisions reveal a reasonable irregular utility‐amplifying level headed conduct of senior residents. Unmistakably expanding spatial availability to different task areas is an urgent factor in characterizing every day outside task interest of senior residents. It is likewise evident that the assorted variety of outside task type decisions decreases with the increase in age and senior citizens are more sensitive to auto journey hour than to travel or non‐mechanised journey hour.

Suggested Citation

  • Biranchi Adhikari & Ajay Kumar Behera & Rabindra Narayan Mahapatra & Harish Chandra Das, 2022. "Retracted: An empirical model for Indian senior citizens in traffic management," Growth and Change, Wiley Blackwell, vol. 53(1), pages 35-56, March.
    • Handle: RePEc:bla:growch:v:53:y:2022:i:1:p:35-56
    DOI: 10.1111/grow.12373
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