Abstract

Introduction. The ongoing urbanization trend makes local governments densify their built environment, hence stimulating construction and renovation works in urban areas. Construction intrinsically strongly relies on logistics activities, which in turn are the source of environmental nuisances. The latter are referred to as external costs when they are not borne by the polluter himself, such as greenhouse gas emissions, air pollution, congestion, etc. Accurate external cost calculations require accurate data to consider significant calculation-variables. However, current calculations are often based on the number of vehicles used and on transported volume rather than vehicle- or tonne-kilometres, hence not adequate to conduct external cost calculations. Methods. The MIMIC-project1 aims to reduce the impact of construction logistics. Therefore, an integrated impact assessment framework will be developed, assessing the economic and environmental influence of different off-site construction logistics solutions. The necessary data to conduct such an impact assessment are however not always available, complicating calculations. This paper highlights the current gap in accurate data on urban construction logistics flows, the considerable uncertainty about existing figures on construction transport and their methodology, and presents the data availability issue in the development of such a framework, using empirical research. Results. Logistics flows data are typically scattered amongst different actors and various in format. Harmonizing different data categories and sources to feed the framework with relevant logistics variables, this paper presents what is possible to calculate using available data in 4 pilot cases in Belgium, Sweden, Norway and Austria. The various data sources highlight the complexity to develop a framework flexible enough to cope with specific local constraints, whilst generic enough to allow comparability across the European cases, and ultimately across construction logistics globally. Furthermore, a shift is needed towards other data collection methods (GPS, digital waybills etc.). Conclusions. This paper presents the data availability issue in the development of an impact assessment framework for construction logistics, harmonizing different data sources in order to conduct external cost calculations for construction transport.

Highlights

  • The ongoing urbanization trend makes local governments densify their built environment, stimulating construction and renovation works in urban areas

  • Harmonizing different data categories and sources to feed the framework with relevant logistics variables, this paper presents what is possible to calculate using available data in 4 pilot cases in Belgium, Sweden, Norway and Austria

  • In order to assess the share of construction logistics in urban traffic and its societal and environmental impact, the most relevant performance indicators are tonne-kilometres and vehicle-kilometers

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Summary

Introduction

Since 2007, the urban population surpassed the rural population globally. Figures from 2014 show that 75% of the European population was living in urban areas, a share which is expected to rise even further [1,2]. To map the transport flows needed to compute these figures (and the inefficiencies in the construction logistics planning), data was mainly sourced from Delivery Management Systems (DMS), manual field data collection and survey work, heavily relying on manual data collection and stakeholder interviews While these figures give a broad overview of the total damage costs generated by the sector in London, educated assumptions have been used to calculate external costs of transport thereby lacking to consider crucial local variables (like receptor densities and traffic situations) intertwining with the internal economic costs of bore by the contractors. The External Cost Calculation [44] module, based on the most up-to-date methods and metrics, will be used for the assessment of impacts of construction logistics flows, including climate change, air pollution, congestion, accident costs and traffic safety, noise pollution, transport infrastructure damage, and others, thereby taking into account the relevant variables such as receptor density, time of day, traffic flow, network type and specific vehicles and equipment used in off-site construction logistics

Input data for the construction logistics impact assessment framework
Findings
Conclusions
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