The road expansion project is designed to include a railway in the middle of a 10-lane expressway from a 6-lane expressway. Is it possible to use a regression analysis to analyze the questionnaire?
These links may possibly help
http://unpan1.un.org/intradoc/groups/public/documents/cgg/unpan026197.pdf
http://www.gsdrc.org/docs/open/EIRS4.pdf
Kindly mention the variables and type of analysis. Are you interested to simply describe the expansion, or wish to relate something or wish to compare. Pl describe to get real statistical tools.
For Economic impact evaluation
you can used tool such as the “Cobb-Douglas production function model”, The Cobb-Douglas functional form of production functions was used to represent the relationship of an output to inputs. The Cobb-Douglas equation can be used to analyse the impact of some production variables on productivity growth.
For Social Impact evaluation
This will identify and assess a project’s social impacts that are directly related to the project and propose measures to enhance potential positive impacts and strategies to avoid, manage, mitigate or offset the predicted negative project impacts. Components to be considered as part of an Social impact evaluation include:
community and stakeholder engagement
workforce management
housing and accommodation
local business and industry content
health and community well-being.
For environmental impact evaluation
This formal process used to predict the environmental consequences (positive or negative) of a plan, policy, program, or project prior to the decision to move forward with the proposed action. The purpose of the assessment is to ensure that decision makers consider the environmental impacts when deciding whether or not to proceed with a project. The International Association for Impact Assessment (IAIA) defines an environmental impact assessment as "the process of identifying, predicting, evaluating and mitigating the biophysical, social, and other relevant effects of development proposals prior to major decisions being taken and commitments made.
There are a number of things to consider before undertaking this activity. It really depends on what you're looking for. Preferably you'll have longitudinal data to help you with the analysis. If you look at the project as an intervention, get some data on counterfactuals and there are a range of outcomes you can look at.
One of the best options would be using a HIES style dataset for the area and a comparable one. Simple matching techniques followed by DiDs should give you answers you're looking for. As I mentioned above, the impact of projects such as these take a while to kick in, so ideally you have some distance before you undertake your analysis.
You also need to consider the following: As a result of the intended project, if individual households will be directly or indirectly affected by the implementation of the project, how will you be able to apportion what such households will lose or gain for that matter. Factor this into your predicted benefits/ gins to the beneficiaries of the project once its is fully implemented. Similarly, establish whether or not there will be any direct or indirect contribution to the household income as a result of the project activities - household members being employed as either casual labourers or on contract of permanent basis - this will enable you outline the impact of the project to the affected households.
- Badges
- Science topic
- Similar topics
- Medicine
- Physiology
- Biosignals
- Biomedical Signal Processing
- Statistical Analysis