A spatial analysis of hierarchical waste transport structures under growing demand

The design of waste management systems rarely accounts for the spatio-temporal evolution of the demand. However, recent studies suggest that this evolution affects the planning of waste management activities like the choice and location of treatment facilities. As a result, the transport structure could also be affected by these changes. The objective of this paper is to study the influence of the spatio-temporal evolution of the demand on the strategic planning of a waste transport structure. More particularly this study aims at evaluating the effect of varying spatial parameters on the economic performance of hierarchical structures (with one transfer station). To this end, three consecutive generations of three different spatial distributions were tested for hierarchical and non-hierarchical transport structures based on costs minimization. Results showed that a hierarchical structure is economically viable for large and clustered spatial distributions. The distance parameter was decisive but the loading ratio of trucks and the formation of clusters of sources also impacted the attractiveness of the transfer station. Thus the territories’ morphology should influence strategies as regards to the installation of transfer stations. The use of spatial-explicit tools such as the transport model presented in this work that take into account the territory’s evolution are needed to help waste managers in the strategic planning of waste transport structures.

[1]  Marcelo M Veiga Analysis of efficiency of waste reverse logistics for recycling , 2013, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[2]  Valérie Laforest,et al.  Dynamic waste management (DWM): Towards an evolutionary decision-making approach , 2013, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[3]  A. Maritan,et al.  ANALYTICAL AND NUMERICAL STUDY OF OPTIMAL CHANNEL NETWORKS , 1997 .

[4]  Lily A. Briggs,et al.  Exploring network scaling through variations on optimal channel networks , 2012, Proceedings of the National Academy of Sciences.

[5]  Lucy Bastin,et al.  Comparing transport emissions and impacts for energy recovery from domestic waste (EfW): Centralised and distributed disposal options for two UK Counties , 2009, Comput. Environ. Urban Syst..

[6]  A. Takamatsu,et al.  Characterization of Adaptation by Morphology in a Planar Biological Network of Plasmodial Slime Mold , 2011 .

[7]  James F. Campbell One-to-Many Distribution with Transshipments: An Analytic Model , 1993, Transp. Sci..

[8]  Isabel Bentes,et al.  Evaluation of operational, economic, and environmental performance of mixed and selective collection of municipal solid waste: Porto case study , 2014, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[9]  M D Bovea,et al.  The role played by environmental factors in the integration of a transfer station in a municipal solid waste management system. , 2007, Waste management.

[10]  David Evans,et al.  Spatial-temporal model for demand and allocation of waste landfills in growing urban regions , 2004, Comput. Environ. Urban Syst..

[11]  Xavier Fageda,et al.  Does Cooperation Reduce Service Delivery Costs? Evidence from Residential Solid Waste Services , 2014 .

[12]  M. Fricker,et al.  Biological solutions to transport network design , 2007, Proceedings of the Royal Society B: Biological Sciences.

[13]  Jesus Gonzalez-Feliu,et al.  Freight distribution systems with cross-docking: a multidisciplinary analysis , 2012 .

[14]  Hongtao Wang,et al.  Volatile trace compounds released from municipal solid waste at the transfer stage: Evaluation of environmental impacts and odour pollution. , 2015, Journal of hazardous materials.

[15]  Daniele Vigo,et al.  Operations research in solid waste management: A survey of strategic and tactical issues , 2014, Comput. Oper. Res..

[16]  Claudia Andrea Arribas,et al.  Urban solid waste collection system using mathematical modelling and tools of geographic information systems , 2010, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[17]  Ricardo Giesen,et al.  How many Urban Recycling Centers do We Need and where? A Continuum Approximation Approach☆ , 2016 .

[18]  Tsutomu Suzuki,et al.  Optimal Hierarchical Transportation System with Economies of Scale , 2009 .

[19]  N. Samat,et al.  Modelling Land Use Changes at the Peri-Urban Areas Using Geographic Information Systems and Cellular Automata Model , 2011 .

[20]  Carlos F. Daganzo One-to-Many Distribution with Transshipments , 1996 .

[21]  Toshiyuki Nakagaki,et al.  Adaptive Biological Networks , 2009 .

[22]  Yu-hsin Tsai Quantifying Urban Form: Compactness versus 'Sprawl' , 2005 .

[23]  Zissis Samaras,et al.  METHODOLOGY FOR CALCULATING TRANSPORT EMISSIONS AND ENERGY CONSUMPTION , 1999 .

[24]  T. H. Christensen,et al.  Collection, transfer and transport of waste: accounting of greenhouse gases and global warming contribution , 2009, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.