Citation

Kaushik K, Jain NK, Choudhary P. Case Stud. Transp. Policy 2023; 12: e100999.

Copyright

(Copyright © 2023, World Conference on Transport Research Society, Publisher Elsevier Publishing)

DOI

10.1016/j.cstp.2023.100999

PMID

unavailable

Abstract

Public opinion and their support for any new government policy depend on their beliefs on acceptance, intrusiveness, and effectiveness. Considering a varying degree of social and cultural heterogeneity, this study investigates the array of political affiliation, which analyzes the influence of political affiliations on assessment and acceptance of the restrictive driving transport policy. A case study on an odd-even restrictive driving policy implemented during November 4-11, 2019, in Delhi (India) is undertaken using quantitative research methods. The conceptual model was first empirically tested with 275 responses from male residents using partial least squares structural equation modeling and then with necessary conditions analysis for robustness of the findings. The findings show that political affiliation positively influences perceived policy effectiveness, policy fairness, and policy acceptance. This study may help policy-makers and regulators to design measures and interventions that influence broader public perspective related to the odd-even restrictive driving policy through political affiliation.

Language: en

Keywords

Necessary conditions analysis; Perceived policy effectiveness; Perceived policy fairness; Policy acceptance; Political affiliation; Restrictive driving policy