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Investigating the Effects of Individual and City Tier Characteristics on Motorized Two-Wheeler Usage Behaviour: A Multilevel Modelling Approach

Chandra, A and Allirani, H and Verma, A (2023) Investigating the Effects of Individual and City Tier Characteristics on Motorized Two-Wheeler Usage Behaviour: A Multilevel Modelling Approach. In: Proceedings from 13th Research Symposium of 15th Urban Mobility India Conference and Expo 2022, 4 - 6 November 2022, Kochi, pp. 203-223.

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Official URL: https://doi.org/10.1007/978-981-99-3447-8_11


Private transportation modes such as motorized two-wheelers and cars constitute more than 80 of the vehicle composition across most Indian cities. The primary reasons for their popularity include increased purchasing power, easy navigation capability through city traffic, low purchase and maintenance cost, and suitability to heterogeneous traffic conditions. Currently, urban mobility policies that regulate motorized two-wheelers in India are fragmented and often locally applicable. The situation is worse in second-tier Indian cities, where motorized two-wheeler regulation policies are practically invisible. There lies a need for a well-structured regulatory policy vision to achieve sustainable motorized two-wheeler usage in India. Any robust policy vision framework must address the individual motorized two-wheeler usage behaviour at a city level and consider the visible variability of motorized two-wheeler usage behaviour across different tiers of cities. Hence, another important question arises, along with a need to study the effects of individual characteristics on motorized two-wheeler usage behaviour. Is there any variability in motorized two-wheeler usage characteristics across different tiers of Indian cities? This study aims to investigate the effect of individual and city tier characteristics on motorized two-wheeler usage behaviour through a multilevel logistic modelling approach. The city tiers are demarcated using k-means clustering on city-level variables. The multilevel model, along with exploring the relationship between dependent and independent variables at the individual (Level-1) and city level (Level-2), also quantifies the variation between different city tiers. The results are expected to be critical in framing effective urban mobility policies on sustainable and resilient motorized two-wheeler usage across Indian cities. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type: Conference Paper
Publication: Lecture Notes in Civil Engineering
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to the Springer Science and Business Media Deutschland GmbH.
Keywords: Regression analysis, K-means++ clustering; Mobility policies; Modeling approach; Motorized two-wheeler usage; Multilevel modeling; Private transportation; Sustainable urban mobility; Transportation mode; Two wheelers; Urban mobility, K-means clustering
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 21 Dec 2023 04:45
Last Modified: 21 Dec 2023 04:45
URI: https://eprints.iisc.ac.in/id/eprint/83542

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