Demography matters – scenarios of waste generation process and spatial impacts: Poland’s case study

The planning of a waste collection system requires a comprehensive analysis of many determinants influencing the spatial variation of its volume. Due to the significant dynamics in both time and space of demographic factors, it is highly possible that the amount of waste will also change. The research objective was to identify the relationship between the waste generation process and demographic factors and to propose a typology of areas depending on the amount of mixed waste generated and the age structure of the inhabitants. The so-called 'supply models' were developed using multiple regression and data on population distribution by the three age groups and type of housing. Typology was elaborated by compiling two variables: age dependency ratio and mixed waste volume. Study confirmed that mixed waste generation depends on age structure of inhabitants as well as housing type. It also turns out that modelling of waste mass depending on different assumptions shows big differences between each scenario. The usefulness of forecasting these changes may appear to be crucial in optimizing waste flows. The developed scenarios prove that some areas may require a more flexible waste collection system due to demographic processes that are difficult to predict. Our study confirmed the results for the relationship between demographic factors and the waste generation process. An additional value of the results achieved is the presentation of the spatial differentiation of the phenomenon of mixed waste generation according to various forecasting scenarios.

Authors

Institutions

Publication Details

Journal
Waste Management & Research The Journal for a Sustainable Circular Economy
Published
2026-02-16
DOI
https://doi.org/10.1177/0734242x261416416
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demography matters – scenarios of waste generation process and spatial impacts: Poland’s case study

Damian Mazurek, Marcin Mazur
Waste Management & Research The Journal for a Sustainable Circular Economy
Municipal Solid Waste Management
article

Demography matters – scenarios of waste generation process and spatial impacts: Poland’s case study

Damian Mazurek, Marcin Mazur
article en

Abstract

The planning of a waste collection system requires a comprehensive analysis of many determinants influencing the spatial variation of its volume. Due to the significant dynamics in both time and space of demographic factors, it is highly possible that the amount of waste will also change. The research objective was to identify the relationship between the waste generation process and demographic factors and to propose a typology of areas depending on the amount of mixed waste generated and the age structure of the inhabitants. The so-called 'supply models' were developed using multiple regression and data on population distribution by the three age groups and type of housing. Typology was elaborated by compiling two variables: age dependency ratio and mixed waste volume. Study confirmed that mixed waste generation depends on age structure of inhabitants as well as housing type. It also turns out that modelling of waste mass depending on different assumptions shows big differences between each scenario. The usefulness of forecasting these changes may appear to be crucial in optimizing waste flows. The developed scenarios prove that some areas may require a more flexible waste collection system due to demographic processes that are difficult to predict. Our study confirmed the results for the relationship between demographic factors and the waste generation process. An additional value of the results achieved is the presentation of the spatial differentiation of the phenomenon of mixed waste generation according to various forecasting scenarios.

Waste Management & Research The Journal for a Sustainable Circular Economy
Institute of Geography and Spatial Organization, Polish Academy of Sciences (PL)
Sustainable cities and communities
Openalex Percentile: Top 51%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.