Evaluation of Transport Network of Metropolitan City: a Case Study of Navi Mumbai

EasyChair Preprint 7123

Abstract

 Rapid urbanization in Indian cities has led to building pressure on urban infrastructure requirements. The higher dependence on private mode has led to traffic congestion in most of the metropolitan cities. The technique of travel demand forecasting is the core part of city transportation planning. The term "TDM"(travel demand modeling) refers to a set of mathematical models that aim to replicate the human travel behavior of a city. The present research is an attempt to develop the travel demand model for Navi Mumbai city, Maharashtra. The four-stage modeling method is adopted here, i.e., trip generation, trip distribution, mode split, and traffic assignments. This work aims to learn about the Urban Transport system of the Navi Mumbai region on a zonal basis and to evaluate the network assignments. After calibration and validation of the base year model, the future scenarios are generated and tested. The scenarios are created for short, medium, and long-term for 2026, 2031, and 2041 respectively, using CUBE software and comparing all the scenarios. Then the effect of public transport improvement strategies on the city's travel demand was studied. The findings from this research can help policymakers and transport planners to evaluate the performance of the Navi Mumbai transport network for the base and future years.

Keyphrases: Short Term Strategies, Travel demand modelling, future scenarios, sustainable transport

@booklet{EasyChair:7123,
  author    = {M Manjusha and Nandan Dawda and Gurang Joshi},
  title     = {Evaluation of Transport Network of Metropolitan City: a Case Study of Navi Mumbai},
  howpublished = {EasyChair Preprint 7123},
  year      = {EasyChair, 2021}}