I am working on construction waste management of Kigali-Rwanda and I will develop a dynamic model to predict its generation. I wish to involve construction, demolition and renovation waste during my research.
Accurate prediction of municipal solid waste generation has an important role in future planning and waste management system. The characteristics of the generated solid waste are different at different places (municipality to municipality or country to country).Both planning and design of municipal solid waste management systems require accurate prediction of solid waste generation.
Following Common factors influencing waste generation in a fast growing city
The waste problem is acute in emerging cities. Solid waste is mostly an urban phenomenon. As city dwellers become richer, the amount of waste they produce reaches a limit. Wealthy societies tend to curb their waste. So as living standards around the world rise and urban populations stabilize, global solid-waste generation will peak. Ask a mayor of a developing country city about his or her most pressing problems, and solid waste management generally will be high on the list. For many cities, solid waste management is their single largest budget item and largest employer. An automated waste-collection program has begun for Cleveland residents. The new system is significantly more efficient and user-friendly, and should encourage more participation in recycling, since items can be recycled curbside.
To add to Pem's comment, I think your model should also take into account the social and/or attitudinal aspect of the every day living by residence of such fast growing urban centres. Yes, design and planning of waste management have important roles to play.
However, the attitude of people also has a huge influence on waste generation in fast growing especially those that have weak resources to manage waste even if they have acceptable design and planning frameworks for waste management. For example, if an average resident of city A has the culture to reuse say polythene shopping bags or wrappers while his/her counterpart in city B lacks that, your guess is as good as mine regarding which inhabitants of the two cities will generate more waste. I know it is very challenging building behavioural issues into predictive models but in this case I think it is a necessary evil that can't just be ignored.
A survey of a rapidly growing city area in Central Nigeria showed that the bulk (about 82%) of the solid waste generated in the area originated from households, rather than from commercial, institutional or industrial premises. Of the waste from households, a substantial proportion consisted of various putrescible materials (36–57%), with ash, dust and sand (combined) forming another significant proportion (21–41%). From the non-household sources, putrescible matter is also significant (23–45%), as is the combined ash/dust/sand fraction (32–36%). The quantity of plastics/cellophane materials from household and non-household sources was, however, comparable (6–10%). There was more paper from commercial and institutional premises (9–12%) than from household or small/medium scale industrial premises (2–4%). Glass (0.1–6.9%), metals (mostly cans and bottle corks (0.7–3.4%) and textiles (0.3–6%) form only a minor proportion of the waste across generators. Waste generation rates were for households, 0.54 kg/cap/day; for commercial, 0.018 kg/m2/day; institutional, 0.015 kg/m2/day while for small and medium scale industries, the rate was 0.47 kg/m2/day.
For more detailed information, you may read the following article. For easy access, I attach PDF copy of the article for you.
Sha’Ato R, Aboho SY, Oketunde FO, Eneji IS, Unazi G, and Agwa S (2007) Survey of solid waste generation and composition in a rapidly growing urban area in Central Nigeria. Waste Management 27: 352–358.
The major factor that affects waste generation is the ability to recycle the material at the end of its life cycle. That is to say, the less we recycle, the more waste is generated.
Recycle could also mean reuse. For example, waste food could be reused to produce bio-gas that can offset the use of natural gas.
With respect to recycling, a good example is the scrap metal generated from industrial processes could be recycled to offset the use of neat (fresh) metals and so forth.
I think you are trying to develop a kind model considering whole life cycle, then the related factors at least for fast growing cities have to deal with data availability and informality. One good idea should be specify your interest type of waste otherwise it may be difficult to pickup important factors. I guess you will deal with validation as well after building your model. Please see also a simple work we did some times only for site selection...
Conference Paper Application of GIS in Urban Solid Waste Management: A Case s...
In my opinion if you are only interested in construction and demolition waste you should predict its generation taking mainly into account the future constructive prospectives in your country (for example economic weight of the sector in your country in recent years and its evolution, employment generation in the construction sector, etc.). You could get a good relationship between this kind of economical and statistical data related to the construction sector in your country and the construction waste generation. For example, in my country, population is increasing and construction waste is decreasing, because a severe crisis in the construction sector in recent years, so you should be careful when choosing an indicator to estimate the generation of waste.
Construction and demolition waste (CDW) arises from activities such as the construction of buildings and civil infrastructure, total or partial demolition of buildings and civil infrastructure, road planning and maintenance.
Quantifying construction and demolition waste generation allows policy makers and stakeholders to understand the true internal and external costs of construction, providing a necessary foundation for waste management planning that may overcome deleterious environmental outcomes and may be both economically and environmentally optimal.
I think the following papers could be helpful for you:
the population composition, coupled with the rise in per capita income is the most vital factors influencing refuse or solid waste disposal especially in the developing counties in Africa such as Nigeria,S/Africa and Ghana