title: Identification of influencing municipal characteristics regarding household waste generation and their forecasting ability in Biscay.
abstract: The planning of waste management strategies needs tools to support decisions at all stages of the process. Accurate quantification of the waste to be generated is essential for both the daily management (short-term) and proper design of facilities (long-term). Designing without rigorous knowledge may have serious economic and environmental consequences. The present works aims at identifying relevant socio-economic features of municipalities regarding Household Waste (HW) generation by means of factor models. Factor models face two main drawbacks, data collection and identifying relevant explanatory variables within a heterogeneous group. Grouping similar characteristics observations within a group may favour the deduction of more robust models. The methodology followed has been tested with Biscay Province because it stands out for having very different municipalities ranging from very rural to urban ones. Two main models are developed, one for the overall province and a second one after clustering the municipalities. The results prove that relating municipalities with specific characteristics, improves the results in a very heterogeneous situation. The methodology has identified urban morphology, tourism activity, level of education and economic situation as the most influencing characteristics in HW generation.
authors.affiliation: Deusto Institute of Technology, DeustoTech Energy, University of Deusto, Bilbao, Bizkaia, Spain. Electronic address: iraia.oribe@deusto.es.
authors.forename: Iraia
authors.initials: I
authors.lastname: Oribe-Garcia
authors.affiliation: Deusto Institute of Technology, DeustoTech Energy, University of Deusto, Bilbao, Bizkaia, Spain.
authors.forename: Oihane
authors.initials: O
authors.lastname: Kamara-Esteban
authors.affiliation: Deusto Institute of Technology, DeustoTech Energy, University of Deusto, Bilbao, Bizkaia, Spain.
authors.forename: Cristina
authors.initials: C
authors.lastname: Martin
authors.affiliation: Deusto Institute of Technology, DeustoTech Energy, University of Deusto, Bilbao, Bizkaia, Spain.
authors.forename: Ana M
authors.initials: AM
authors.lastname: Macarulla-Arenaza
authors.affiliation: Deusto Institute of Technology, DeustoTech Energy, University of Deusto, Bilbao, Bizkaia, Spain.
authors.forename: Ainhoa
authors.initials: A
authors.lastname: Alonso-Vicario
mesh_terms: D005544:Forecasting; D008962:Models, Theoretical; D012959:Socioeconomic Factors; D062611:Solid Waste / Q000032:analysis*; D013030:Spain; D018505:Waste Management / Q000379:methods*
chemical_list: D062611:Solid Waste
keywords: Biscay; Forecasting; Household waste generation; Regression; Relevant municipal characteristics