Abstract

Urban population in India has increased significantly from 62 million in 1951 to 378 million in 2011 in six decades. It is estimated to reach 540 million by the year 2021. This reflects on likely pressure on urban transportation system. The situation necessarily calls plans for balanced personal and public transport system. Mandatory trips bear more importance in this regard owing to their higher share in urban trips. Mode share and their choice behaviour in estimation of such trips play vital role in analysing and boosting sustainable transportation. Logit modelling approach is the conventional method generally adopted for analysing mode choice behaviour, which is based on the principle of random utility maximization derived from econometric theory. However, such models cannot address uncertainity prevailing in the choice decisions. On the contrary, fuzzy logic bypasses the binary crisp derivations of the inputs and accepts multivalued inputs in linguistic expressions, which make possible to resemble the human behaviour closely. Therefore, the attempt here is to develop fuzzy logic based mode choice model for education trips, which constitutes a good share in mandatory trips by covering various income groups of Indian society.

Highlights

  • Industrialization in the recent years in developing economies like India has caused a large mass of people from rural area to migrate and get settled in the vicinity of the trade and commerce centres, thereby forming urban agglomerations

  • It is interesting to note here that nearly 65% of the urban population is concentrated in class-I cities and 32% of this further is in metropolitan centers itself

  • Kedia et al Fuzzy logic approach in mode choice modelling for education trips: a case study of Indian

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Summary

Introduction

Industrialization in the recent years in developing economies like India has caused a large mass of people from rural area to migrate and get settled in the vicinity of the trade and commerce centres, thereby forming urban agglomerations. The number of metropolitan cities in India with a population exceeding one million has increased from 35 in 2001 to 44 in 2011. It is interesting to note here that nearly 65% of the urban population is concentrated in class-I cities and 32% of this further is in metropolitan centers itself. 250 to 600 motor vehicles are getting added daily in metropolitan centers in the country. These mainly comprise of two-wheelers, three-wheelers and cars with significant growth in two-wheelers. This has resulted into increase in traffic congestion, environmental pollution, road accidents and parking problems. 2015, 30(3): 286–293 commuting educational trips, which are significant next to work trips in a metropolitan environment through fuzzy system

Literature Base
Mode Share for Education Trips
Development of Fuzzy Based Model
Model Inputs and Outputs
Setting of Membership Functions
Fuzzy Rule Formulation
Defuzzification Process
Calibration and Validation Results
Mode Choices
Findings
Land-use planning
Summary and Conclusions
Full Text
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