alexa A Study on the Building Demand Forecasting For the Ero
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on: https://twitter.com/ijirset_r
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Special Issue Article

A Study on the Building Demand Forecasting For the Erode Town, Tamilnadu, India

T.R.Raghavan1, Mr. T. Prateep M.E. 2, Mr. M. Suresh MSc. M.Phil. PGDCA. 3
  1. Student of Final Year- M.E (CE&M), Department of Civil Engineering,, Kongu Engineering College, Perundurai, Tamil Nadu, India
  2. Assistant Professor, Department of Civil Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India
  3. Assistant Professor, Department of management studies, Kongu Engineering College, Perundurai, Tamil Nadu, India
Related article at Pubmed, Scholar Google
 

Abstract

An accurate forecasting of prospective building demand in a developing city with high growing population is always a useful task for the socio-economic improvements all along the city. As it also involves in the welfare and improvement of the peoples of all categories. Despite that, a realistic forecasting of all types of buildings (incl. residential, commercial, and governmental) is never an easy task, as it governed by a number of social and economic factors. In this project a leading indicator model is developed especially for the demand forecasting of a all type of buildings in Erode city, District headquarters of Erode District, Tamilnadu. This study comprises factors and statistics required for the Linear Regression Analysis (LRA) model. The search through past history expresses that LRA model provides that most accurate forecasting for a long time horizon. In providing a random of possible forecasts, the LRA model also paves way for an opportunity of selecting mere possible and accurate forecasting for the decision-makers. This study provides exhaustic empirical research and detailed study (both macro and micro level) of past statistics and current statistics by combining with the future prediction of building growth in the city. This will give an alarming indication to the government authorities about the rapid demand in all type of building in the city.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords