Factors Influencing Non- Motorized Mode Choice: A Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 2
Abstract
Q automobile travel by reducing traffic congestion and air/noise pollution. Their modal share is decreasing in developing countries day-by-day which is evident from the data collected by different organizations. At present, in most of the cities modal share of these modes is about 50 % and the same is expected to be around 30% in the year 2031. In this paper an attempt has been made to identify, classify the factors and also to show the differences between developing and developed countries in light of these factors which are likely to have a significant influence on non- motorized mode share. In addition, a review of works done by various researchers using these factors are also given.
Authors and Affiliations
Santhi J Bedadala, Mallikarjuna C
Keywords
Related Articles
- EP ID EP21583
- DOI -
- Views 234
- Downloads 3
Implicit Assessment of Lead Extraction Based On Its As-Mined Content and Ferric Sulphate Concentration during Leaching In the Sulphate Solution
An implicit assessment of lead extraction was carried out based on its as-mined content in galena and ferric sulphate concentration during leaching in the sulphate solution. A two-factorial empirical model was derived f...
Analysis of Library Data Using Pig Latin
As per the advancement in organizations across the world in public as well as private sectors have made unprecedented growth in data. The massive growth in data is increased day by day. This massive growth of data or hi...
Seismic & Stability Analysis of Gravity Dam
The aim of the study is to analyse the dam for stability and seismic forces. Dam being one of the mega structure it becomes prime important to design and analyse such structure with keen observation considering various...
Study on the Effect of Replacement of Cement with Silica Fume Along With Recycled Aggregate
Construction industry is witnessing a tremendous growth year by year. The increase in demand of the construction is causing many environmental impacts. To spot an example, 1 ton of cement production releases 1 ton of CO...
slugDetermination of Atrial Diastole and Systole from 2-D Echocardiographic Images Using Artificial Neural Network
This project proposes a new approach to estimate the cardiac cycle phases in 2-D echocardiographic images as a first step in cardiac volume estimation. We focused on analyzing the atrial systole and diastole events. The...