sustainability
Article
Life Cycle Analysis of Road Construction and Use
Giampiero Trunzo, Laura Moretti
and Antonio D’Andrea *
Department of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00184 Rome,
Italy;
[email protected] (G.T.);
[email protected] (L.M.)
* Correspondence:
[email protected]; Tel.: +39-06-44585116
Received: 17 December 2018; Accepted: 9 January 2019; Published: 13 January 2019
Abstract: Both the construction and use of roads have a range of environmental impacts; therefore,
it is important to assess the sources of their burdens to adopt correct mitigation policies. Life cycle
analysis (LCA) is a useful method to obtain demonstrable, accurate and non-misleading information
for decision-making experts. The study presents a “cradle to gate with options” LCA of a provincial
road during 60 year-service life. Input data derive from the bill of quantity of the project and their
impacts have been evaluated according to the European standard EN 15804. The study considers the
impacts of the construction and maintenance stages, lighting, and use of the vehicles on the built road.
The results obtained from a SimaPro model highlight that the almost half of impacts took place during
the construction stage rather than the use stage. Therefore, the adoption of environmentally friendly
road planning procedures, the use of low-impact procedures in the production of materials, and the
use of secondary raw materials could have the largest potential for reducing environmental impacts.
Keywords: road construction; impact category; tunnel; bridge; embankment; trench; life cycle analysis
1. Introduction
In recent years, environmental aspects related to road infrastructure construction have increasingly
come under examination [1,2] in order to apply environmental award criteria in calls for tender [3]
and introduce the green public procurement (GPP). At the international level, several efforts have
been made to apply GPP to the road sector: in Sweden, environmental aspects are integrated in
road maintenance contracts [4–6]; in Finland, procurement methods are implemented to reduce the
environmental impacts of roads [7]; in the Netherlands, GPP has been implemented to manage the
main road network [8].
Currently, the Italian Ministry of the Environment is transposing the meaning of the document
“Green Public Procurement Criteria for Road Design, Construction and Maintenance” published
in 2016 by the European Union [9] to encourage the purchasing of products, services and works
with reduced environmental impacts. Four criteria are proposed to assess the life cycle impacts
of road construction: Life Cycle Impact Assessment (LCIA), Carbon footprint (CF), recycled and
re-used content, and Low emissions from transport of heavy materials. The listed criteria have
decreasing levels of ambition and technical complexity: in literature the most frequently adopted
frameworks are LCIA and CF [10–13]. LCIA is a holistic assessment tool which considers different
environmental impacts (e.g., acidification, eutrophication, abiotic depletion), while CF only evaluates
the total amount of greenhouse gas emissions of road processes: CF is the result of a partial LCIA
implementation. Recycled and re-used content and low emissions from transport of heavy materials
focus respectively on the content of used recycled, re-used or by-products materials, and on CO2
emissions from the transportation of aggregates. These last two approaches are alternatives to LCIA
and CF, and it is recommended to combine both in order to achieve an overall environmental benefit.
According to the EU environmental objectives and data available in the literature, authors adopted the
Sustainability 2019, 11, 377; doi:10.3390/su11020377
www.mdpi.com/journal/sustainability
Sustainability 2019, 11, 377
2 of 13
LCIA because it allows a quantitative and robust evaluation of each examined process [14]. Indeed,
the unbiased and comparable results from LCIA depend on the specific production chain, it takes into
account the specific boundary system and operational conditions, and could be adopted as an effective
environmental decision support system [15]. Since the early 2000s, some research has used the life
cycle assessment methodology to assess the environmental performances of a road and its different
stages. With different analysis periods and functional units, they examined the environmental impacts
of road materials [16–20] and compared construction techniques and maintenance activities [10,21–25]
with different methods and software. Marzouk et al. [21] used the software Copert 4 [26] to assess
the overall environmental impacts and primary energy associated with earthwork and pavement
processes. Hammervold [22] applied the impact assessment method ReCiPe [27] to construction and
maintenance activities of two highway projects in southern Norway in order to identify the main
aspects affecting LCA results. Burdens of traffic are not considered. According to EN 15804 [28],
Moretti et al. [23] assessed the environmental and human health impact of construction of two different
road cross-sections (i.e., embankment and trench sections). Sayagh et al. [24] used the tool ERM
(elementary road modulus) [29], to assess LCA of construction and maintenance activities three
different road pavements. The EU project ECRPD [25] assessed impacts of wearing layers during
their construction and maintenance, whereas initial phases of road and pavement construction (e.g.,
subgrade preparation and subbase construction) were excluded.
Conversely, this study aims to assess, according to the standard EN 15804 “Sustainability of
construction works, environmental product declarations, core rules for the product category of
construction products” [28] the environmental impacts of construction and use of a provincial road
in Central Italy. The analysis starts considering the input data from the bill of quantity of the project:
it considers all materials, works and processes needed to have the final product: “the road”. Moreover,
the analysis examines the use stage of the road during 60-year service life until its exceptional
maintenance of structures occurs: all impacts from traffic and routine maintenance are assessed.
The importance of this work is that it provides reliable LCIA results of the environmental impacts of
construction and use of a real road. The interpretation of the results allows the identification of the
majority of impacting processes currently used in this sector, in order to reduce its burdens and to
develop an environmentally aware public procurement policy.
2. Materials and Methods
In this study, the LCIA methodology has been implemented to assess the environmental impacts
of construction and use of an 8.5 km-long provincial road during 60 year-service life. The examined
road offers a solution to the local and touristic traffic between two densely populated towns. Figure 1
represents the cross-section of the analyzed infrastructure: it is composed of two 1.25 m wide shoulders
and two 3.50 m wide lanes.
wide lanes.
125
350
950
350
125
Figure 1. Design cross section (unit of measure: cm).
The road is in a mountainous region of central Italy, where the Appennine mountains are located.
The territory morphology seriously affects the altimetric design of the infrastructure, whose 16.6% in
length is raised on above- and under-grade structures. Indeed, the road is composed of:
•
•
7.1 km-long open road sections (not more than 5 m-high trench or embankment cross-sections);
0.3 km-long 4-span new bridge with reinforced-concrete slab on three U-shaped precast
reinforced-concrete beams;
Sustainability 2019, 11, 377
•
3 of 13
1.1 km of new single-tube tunnel built with mechanized excavation. According to the geological
condition, one part of the rock is granite and the other one is shale. In the joint part the overlying
bedrock thickness is approximately 200 m. Water inflows were expected when tunnel excavation
approached the joint of two rocks. Therefore, foam consolidation and grouting method were
designed to control the displacement of the rock and its supports.
Geometrical and functional issues were adopted for the road design to comply with the current
Italian requirements for the construction of minor highways [30]; for the first 20 years of service life,
the design traffic consists of the number of passes listed in Table 1.
Table 1. Passes of vehicles within the first 20 years of service life.
Vehicle Type
Maximum Mass (t)
Number of Passes
Commercial and heavy vehicles
Cars
Mopeds
56
3
0.5
1,500,000
15,000,000
189,000
Table 2 lists the traffic spectrum of commercial and heavy vehicles within the first 20 years of
service life.
Table 2. Traffic spectrum within the first 20 years of service life.
Vehicle Code
Maximum Mass (t)
Number of Passes during the Service Life
V1
V2
V3
V4
V5
V6
12
16
26
36
56
13
882,000
441,000
88,500
42,000
3000
43,500
Given a subgrade resilient modulus equal to 90 MPa, and the traffic data in Tables 1 and 2, for a
20-year service life the flexible pavement is composed of [31]:
•
•
•
•
3 cm-thick asphalt wearing course;
5 cm-thick asphalt binder course;
12 cm-thick asphalt base course;
30 cm-thick cement-stabilized sub-base.
In order to assess the impacts of construction and use of the road for 60 years, the authors assumed
that traffic volume and spectrum do not change during the overall reference service life.
The bill of quantity, which is not disclosed herein, due to privacy reasons, allowed the
identification of works and materials needed for the road construction. These data constituted
the Life Cycle Inventory (LCI) and they were modeled according to the characterization factors
listed in EN 15804:2012+A1:2013 [28] in order to calculate the Life Cycle Impact Assessment (LCIA).
The characterization factors allow for comparing the ability of different substances to cause the same
environmental impact because they convert the results from LCI into a common unit of a category
indicator, expressed as equivalent (eq.), (Equation (1)):
IC =
∑ CFic (x)· I NV (x)
(1)
x
where IC is the Impact Category, obtained from the inventory of the substance x, INV(x), and CFic (x) is
the characterization factor assigned to the substance x for the calculation of IC.
Sustainability 2019, 11, 377
4 of 13
The database Ecoinvent 3.1 [32], integrated in the software package SimaPro 8.0.5.13 [33], was used
to assess the impact categories listed in Table 3. These parameters describe the environmental impacts
according to the EN 15804 [28].
Table 3. Impact categories considered in the LCA.
Impact Category
IC
Unit of Measure
Global Warming Potential
Ozone layer Depletion Potential
Acidification Potential of soil and water
Eutrophication Potential
Photochemical Ozone Creation Potential
Depletion of abiotic resources-elements
Depletion of abiotic resources-fossil fuels
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
kg CO2 eq.
kg CFC11-eq.
kg SO2 eq.
kg PO4 3− eq.
kg C2 H4 eq.
kg Sb eq.
MJ
The LCIA was carried out according to the standard EN 15804: for each impact category, the study
evaluated the overall impact of road construction and/or use, and the partial contributions of four
different stages:
1.
2.
3.
4.
stage A1: extraction and processing of raw materials, reuse of products or materials from a previous
production system, processing of secondary materials used as input, and generation of electricity,
steam and heat from primary energy resources, including their extraction, refining and transport;
stage A2: transportation of materials and machines to production and construction site;
stage A3: in-situ works for road construction (e.g., use of dumpers, graders, lighting installation,
waste processing; on-site operations to the road, etc.);
stage A4: use of the road (i.e., environmental impacts due to the expected traffic, pavement
maintenance, and tunnel lighting).
Figure 2 represents the flow diagram of the phases involved in the “from cradle to gate with
options” LCIA.
A1
A2
A3
A4
Extraction
and
production of
raw materials,
fuels, and
products
Transportation (both
external and
internal)
Road
construction
Use of the
road
Figure 2. Flow diagram of the phases (or modules) involved in LCIA.
For pavement maintenance, the authors assumed preventive works according to Table 4 [34] for
the first 20 years. At the end of 20th year, the pavement will be demolished, rebuilt and maintained
according to Table 4.
Table 4. Pavement maintenance.
Type of Maintenance
Year
Extension
Wearing + binder course milling and patching
Wearing course milling and re-construction
Wearing + binder course milling and patching
Wearing + binder course milling and re-construction
3
6
9
12
1% lanes’ surface
100% lanes + shoulders surface
2% lanes’ surface
100% lanes + shoulders surface
Sustainability 2019, 11, 377
5 of 13
For tunnel lighting, the authors derived data from previous studies [35,36]. Therefore, the lighting
system complies with the requirements laid down by the Italian Organization for Standardization [37–40].
Particularly, the standard UNI 11095 [37] divides the longitudinal section of the tunnel in five reference
zones (i.e., access, threshold, transition, interior and exit zones). Each zone differs for the minimum
luminance value to be ensured as consequence of the design speed, the meteorological visibility distance,
the horizontal lighting in the access zone, the natural luminance, and the optics type. As consequence
of different daylight conditions, the tunnel lighting system is composed of one permanent and seven
reinforcement installations. Lighting Emission Diode (LED) devices are installed, and they are arranged
in a single line in permanent lighting, or in a quincunx geometric pattern in the reinforcement system.
Table 5 lists details about the lighting system for each 20-year period of service life.
Table 5. Lighting design data.
Lighting Data
Value
Total installed power (W)
Annual consumption (kWh)
84,295
59,500
Table 6 lists the routine maintenance program for the lighting system.
Table 6. Routine maintenance program for the lighting system.
Type of Work
Frequency
Replacing of lamps
Cleaning of lamps
once every 10 years
once every 2.5 years
For maintenance of structures (e.g., the bridge and the tunnel), the authors assumed the routine
maintenance program listed in Table 7.
Table 7. Routine maintenance program for structures.
Structure
Type of Work
Frequency
Bridge
Deck and crack sealing
Clean and flush drains
Clean and reseal deck joints
Exposed steel cleaning and repainting
Remove, replace, repair tiles and spalls
once every 3 years
once every 2 years
once every 10 years
once every 5 years
once every 2 years
Tunnel
Wash tunnel walls and ceiling
Repair or replace deteriorated or failed joints
Clean and seal exposed bars
once every 1 year
once every 2 years
once every 4 years
In order to analyze the effect of the examined stages and identify the most critical works, materials
or processes, a sensitivity analysis was carried out. At this purpose, the authors assumed all processes
would have a period of less than 20 years occur in cyclic form during the overall service life.
3. Results
The A1 to A3 LCIA results for the examined road are listed in Table 8. They refer only to the
materials and processes needed for road construction, as required by the project. All construction
materials are transported to the road site over distances no greater than 25 km.
Sustainability 2019, 11, 377
6 of 13
Table 8. LCIA—A1 to A3 phases.
Impact Category
IC
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
Value
Global Warming Potential
Ozone layer Depletion Potential
Acidification Potential of soil and water
Eutrophication Potential
Photochemical Ozone Creation Potential
Depletion of abiotic resources-elements
Depletion of abiotic resources-fossil fuels
Unit of Measure
108
kg CO2 eq.
kg CFC11-eq.
kg SO2 eq.
kg PO4 3− eq.
kg C2 H4 eq.
kg Sb eq.
MJ
3.58 ×
48.38
1.37 × 106
3.94 × 105
3.03 × 105
37.34
3.44 × 109
The bar graph in Figure 3 shows the percentage contribution between phases of road construction.
construction.
100%
90%
80%
70%
60%
A3
50%
A2
40%
A1
30%
20%
10%
0%
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
Figure 3. Environmental performances—A1 to A3 phases.
Four main observations can be extracted from Table 7 and Figure 3:
•
•
•
•
in the “from cradle to use” analysis, the most impacting phases are A1 and A3: except for ADP-E,
they account on average for more than 90% of total burdens;
in the phase A1, ODP and ADP-F have the lowest contribution (i.e., 22%), while EP and POCP
have the highest contributions (i.e., 58% and 54%, respectively);
transportation (both external and internal) is the phase which implies the lowest contribution: A2
is on average 3.2%;
in the phase A3, ADP-F and ODP give the highest contributions (on average 74.5%).
For each impact category, the authors examined the ten most impacting items, which contribute
to more than 92% of the totals:
•
•
for GWP, diesel machines for earth moving, tunnel excavation and cement grouting cause
1.99 × 108 kg CO2 eq. (i.e., 53% of the overall impact). Aggregates, concrete, reinforcing steel,
and lime mortar cause 38% of the overall impact; the most impacting freight transport (used for
transport of cement concrete up to the roadwork site) causes emissions of 3.50 × 106 kg CO2 eq.
(i.e., 1% of total GWP);
for ODP and ADP-F, diesel machines for earth moving, tunnel excavation, and cement grouting
cause 70% and 69% of the overall impacts, respectively. Aggregates, concrete, reinforcing steel,
and lime mortar cause 19% and 20% of the overall impact, respectively; the most impacting freight
Sustainability 2019, 11, 377
•
•
•
7 of 13
transport (used for transport of cement concrete up to the roadwork site) causes respectively
emissions of 6.03 × 10−1 kg CFC-11 eq. and 4.17 × 107 MJ, (i.e., 1% of total ODP and 1% of total
ADP-F);
for AP, diesel machines for earth moving, tunnel excavation, and cement grouting cause 6.89 kg
SO2 eq. (i.e 48% of total AP). Aggregates, concrete, reinforcing steel, and lime mortar cause 43% of
the overall impact. Freight transport contributions do not rank in the top ten items: the first one’s
contribution is related to transport of cement concrete up to the roadwork site and represents 1%
of total AP;
for EP and POCP, diesel machines for earth moving machines and cement grouting cause
respectively 37% and 40% of the overall impacts, respectively. Aggregates, concrete, reinforcing
steel, and lime mortar cause respectively 54% and 51% of the overall impact. For both ICs,
transport of granular materials is 1% of total impact (i.e., 3.36 × 106 kg PO4 3− eq. and
2.93 × 103 kg C2 H4 eq., respectively);
ADP-E is the impact category with the lowest contribution of earth moving machines (i.e., 32%),
while construction materials account for 48% of total consumption of abiotic depletion for
non-fossil resources. The most impacting transport items (transport of cement concrete and
granular materials up to the roadwork site) imply 6% of the overall impact.
The analysis of the ten most impacting items for each IC highlights the need for adopting strategies
to reduce the impacts of tunnel excavation, road materials production and excavation. In particular,
it focuses on the serious impact of tunnel construction and calls for reflection on a wider scale,
involving geometric and strategic choices in the design process. Moreover, the high impacts of
“standard” building materials used for road construction point out the importance of using secondary
raw materials to conserve resources and promote recycling in such sector. Indeed, for each impact
category, the road pavement and its materials and works cause on average not more than 1% of total
impacts; on the other hand, tunnel lighting equipment does not provide relevant contributions to ICs.
Table 9 lists the overall A4 impacts of traffic, pavement and structures maintenance, consumption
and maintenance of tunnel lighting during the 60-year service life. For the effects of the design traffic,
refer to Euro 4 and Euro IV vehicle stages in reference [41]. It is a conservative approach compliant
with the current Italian total fleet.
Therefore, this analysis can be correctly defined a “cradle to gate with transportation to work site
and use options” study.
Table 9. LCIA—A4 phase.
IC
Unit of
Measure
Traffic
Pavement and
Structures
Maintenance
Tunnel
Lighting
Consumption
Tunnel
Lighting
Maintenance
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
kg CO2 eq.
kg CFC11-eq.
kg SO2 eq.
kg PO4 3− eq.
kg C2 H4 eq.
kg Sb eq.
MJ
1.44 × 108
1.06 × 101
6.26 × 105
2.27 × 105
1.64 × 105
1.95 × 101
7.74 × 108
1.10 × 107
1.81 × 100
4.34 × 104
1.18 × 104
9.16 × 103
1.56 × 101
1.40 × 108
2.03 × 108
3.60 × 101
7.02 × 105
1.55 × 105
1.29 × 105
2.51 × 100
2.54 × 109
3.10 × 108
4.92 × 101
1.05 × 106
2.92 × 105
3.03 × 105
3.42 × 102
3.46 × 109
The bar graph in Figure 4 represents the percentage contributions of A1 to A4 phases of the
examined road during its 60-year reference service life.
Sustainability 2019, 11, 377
8 of 13
100%
90%
80%
70%
60%
A4
50%
A3
40%
A2
A1
30%
20%
10%
0%
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
Figure 4. Environmental performances—A1 to A4 phases.
One main observation can be extracted from Figure 4: on average, A4 contributes to 53% of
the overall impact of LCIA. Therefore, the reason why the road has been constructed has overall
about half the total impact on the environment: raw materials, fuels, transportation and construction
site set-up cause more than 47% of the overall impacts. The possible future renovation of total fleet
(e.g., renovation of current fleet, use of environment-friendly engines and fuels as gas-propelled or
electric vehicles) could accentuate the relative impact of the construction stage. Under the present
conditions, the obtained results in terms of “transportation” incidence during the service life comply
with reference [42]. According to Stripple [42], the emissions of NOx , SO2 and CO2 are dominated by
the road construction during a 40 year-service life.
As discussed above, the pavement contribution to the total impacts is not relevant; construction
of the wearing, binder, base and subbase contribute on average to less than 1%. Even if motorization
will change, loads to be transported on the road will not have substantial increases, and pavement
contributions will maintain a low incidence. Accordingly, construction and impacts of big structures
needed for the road (e.g., bridges and tunnels) will become even more significant.
Given the obtained results, an in-depth impact analysis with more severe traffic conditions has
been carried out. According to reference [31], the authors modified the scenario and considered
an increase of the road traffic volume. The number of passes of commercial and heavy vehicles
varied from 1.5 million/20 years to 10 million/20 years, which is the maximum value expected in
the Italian Catalogue of road pavements. The number of cars and mopeds varied accordingly to
the traffic spectrum in Table 2. The increase in traffic volume required to adjust the road pavement
composition [43] and its related construction and maintenance works in order to achieve the required
level of service [44]. The new flexible pavement is composed of 5 cm-thick asphalt wearing course,
8 cm-thick asphalt binder course, 17 cm-thick asphalt base course, and 15 cm-thick granular sub-base.
Table 10 lists the A1 to A4 LCIA results for the amended scenario. The modification of pavement
composition affects all the examined phases because it varies both the amount of materials and works
(i.e., A1 to A3, upstream phases) before opening up to traffic volume and the maintenance works (i.e.,
A4). Conversely the increase in traffic volume only affects the use stage (i.e., A4).
Sustainability 2019, 11, 377
9 of 13
Table 10. A1 to A4 LCIA of the amended scenario.
Value
IC
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
109
2.12 ×
3.39 × 102
7.19 × 106
2.01 × 106
2.02 × 106
2.15 × 103
2.33 × 1010
Unit of Measure
kg CO2 eq.
kg CFC11-eq.
kg SO2 eq.
kg PO4 3− eq.
kg C2 H4 eq.
kg Sb eq.
MJ
With reference to Table 8, the assumed increase in traffic volume (+667%) more than triples the
overall IC values: the differences range between +293% of EP and +567% of ADP-E.
Figure 5 represents the percentage contributions of A1 to A4 phases of the amended scenario
during its 60-year reference service life.
100%
90%
80%
70%
60%
A4
50%
A3
A2
40%
A1
30%
20%
10%
0%
GWP
ODP
AP
EP
POCP
ADP-E
ADP-F
Figure 5. Environmental performances—A1 to A4 phases of the amended scenario.
All trends of the seven examined ICs significantly differ from the original scenario. All significant
variations are due to the increase in traffic volume: the impacts of A1 to A3 phases in the amended
scenario change by not more than 0.8% from the original results. An inversion of “until opening to traffic”
vs “use” phase has been observed. Indeed, the contribution of A1 to A3 phases to the total impacts has
almost halved (e.g., for GWP it decreases from 54% to 17%, for ADP-F from 50% to 15%). For ADP-E,
due to its reliance on fuel consumption, the contribution of A4 phase varies from 10% to 2%.
Given the obtained results, it is possible to identify the breakeven point which represents the
number of passes of commercial and heavy vehicles when the “until opening for traffic” impacts match
the “use” ones. Figure 6 graphs the findings about the trend of the investigated ICs contributions:
the millions of passes of commercial and heavy vehicles are represented on the abscissa, and the
percentages of traffic impacts compared to the total value of each parameter are represented on
the ordinate.
Sustainability 2019, 11, 377
10 of 13
Traffic contribution to overall impacts (%)
100%
90%
80%
70%
GWP
60%
ODP
50%
AP
40%
EP
30%
POCP
20%
ADP-E
10%
0%
ADP-F
0
2
4
6
8
10 12 14 16 18 20 22 24 26 28 30
Million of passes of commercial and heavy traffic
Figure 6. Incidence of traffic volume on traffic contributions to ICs.
According to Figure 6, the expected traffic volume during the overall service life (i.e., 4.5 million
passes of commercial and heavy vehicles) causes 87% of total ADP-E, 46% of ODP, 45% of total ADP-F,
44% of ODP, 41% of GWP and AP, and 37% of EP. A traffic volume with more than 6 million passes
of commercial and heavy vehicles is expected to set the condition for the traffic to contribute to half
the overall environmental impacts for ADP-F, POCP, and ODP at least. More than 8 million passes of
commercial and heavy vehicles are needed to obtain these results for GWP, EP, and AP.
4. Discussion
The obtained numerical results permitted to analyze the environmental impacts of the examined
road and its theoretical amended scenario during their 60-year service life.
The quantitative measurements of environmental performances can be used to compare different
equivalent proposals when decision-making must be carried out. Indeed, the adopted methodology can
be applied to other studies in order to analyze different road projects and facilitate knowledge-based
comparative assertions. Although the LCA results are quantitative, however in a (green) public
procurement procedure, a decision process should identify the least environmentally damaging choice
from a multidimensional perspective [45]. Comparison of all indicators against each other, which is
possible only when all the adopted rules and procedures coincide, is not simple because the quantity
of data, the multiple unit of measures, the various media to which substances outflow, therefore,
a multicriteria decision analysis (MCDA) needs to interpret the results [46] and solve the trade-off
between environmental impacts.
Moreover, the comparison of the environmental performances between the original and the
amended scenario highlighted that LCA results are specific and each project should be examined
under its own boundary system, geographical, social and operational conditions. In the examined case,
the decision to construct a route resulted from deepen analysis and assessment of available strategic
and theater lift assets, transportation infrastructure, and economic and financial forecasts. Therefore,
as a result of the preliminary studies, the road alignment and geometric design cross mountain areas:
this determines the structural and technical solutions, which are complex and environmentally-expensive
compared to the design traffic, which is relatively low. Therefore, a comprehensive and critical analysis
needs to establish the feasibility and sustainability of a road project [47]. To achieve this purpose, MCDA
may be applied within the LCA context to aid interpretation of outcomes within the framework of
Sustainability 2019, 11, 377
11 of 13
sustainable and environmentally-friendly strategies. Indeed, the multicriteria approach would make it
possible to reconcile environmental, economic, and social issues and to synthesize their various aspects.
5. Conclusions
Life Cycle Analysis has been recently adopted to study the environmental impacts of road
transport infrastructure. This approach facilitates the unbiased assessment and critical interpretation
of a product. This study compares—for the first time—reliable LCIA results of the environmental
impacts of construction and use of an Italian provincial road. The importance of the obtained results is
that they allow the identification of processes and technologies responsible for the majority of potential
negative impacts on the environment. The examined road is in a mountainous region of the central
Italy: therefore, 16.6% in length is raised on tunnels and viaducts. The design traffic consists of low
volume: 4.5 million passes of commercial and heavy vehicles during 60-year reference service life.
This condition seriously affects the LCA: the high incidence of “until opening for traffic” phases reflects
the complexity of the work. According to the European standard EN 15804, seven impact categories
have been assessed: the results showed that the largest part of burdens are from structural materials
(e.g., aggregates, concrete, reinforcing steel and earth moving machines), while burdens from the
“use” phase (i.e., maintenance, traffic, and lighting) are not more than 50% throughout the service
life. Moreover, the results demonstrated that it is incorrect to consider only one environmental impact
to identify the “greenest” process among several alternatives. Indeed, each indicator has a different
incidence in terms of its environmental impact, and the contribution of each stage related to the LCA
significantly differs from the examined parameters. In particular, the analysis highlighted the need for
MCDA to interpret the results and solve the trade-off between environmental impacts.
Finally, it has been found that high traffic volumes may reduce the impacts of “until opening
for traffic” to 28% of the total: when 30 million passes of commercial and heavy vehicles are expected,
the “traffic” phase cause on average 82% of impacts. This demonstrates that there are important differences
in the environmental performance of a road varying its design traffic: the same geometric design
significantly varies its degree of environmental sustainability. Therefore, the proposed environmental
approach should be integrated with social and economic criteria in order to obtain a comprehensive
sustainability assessment.
Author Contributions: Conceptualization, L.M.; Data curation, L.M.; Formal analysis, G.T.; Investigation, G.T.
and L.M.; Methodology, L.M.; Supervision, A.D.; Visualization, L.M.; Writing—original draft, G.T. and L.M.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
References
1.
2.
3.
4.
5.
6.
7.
Miccoli, S.; Finucci, F.; Murro, R. Urban Green Infrastructures and Social Shared Choices: A Deliberative
Valuation Method. Appl. Mech. Mater. 2014, 641–642, 1082–1086. [CrossRef]
Miccoli, S.; Finucci, F.; Murro, R. Criteria and Procedures for Regional Environmental Regeneration:
A European Strategic Project. Appl. Mech. Mater. 2014, 675–677, 401–405. [CrossRef]
Parikka-Alhola, K.; Nissinen, A. Environmental Impacts of Transport as Award Criteria in Public Road
Construction Procurement. Int. J. Constr. Manag. 2012, 12, 35–49. [CrossRef]
Faith-Ell, C. The Application of Environmental Requirements in Procurement of Road Maintenance in
Sweden. Ph.D. Thesis, KTH Land and Water Resources Engineering, Stockholm, Sweden, 2015.
Faith-Ell, C.; Balfors, B.; Folkeson, L. The application of environmental requirements in Swedish road
maintenance contracts. J. Clean. Prod. 2006, 14, 163–171. [CrossRef]
Varnäs, A.; Balfors, B.; Faith-Ell, C. Environmental consideration in procurement of construction contracts:
Current practice, problems and opportunities in green procurement in the Swedish construction industry.
J. Clean. Prod. 2009, 17, 1214–1222. [CrossRef]
Procurement Strategy of the Finnish Road Administration. 2003. Edita Prima Oy, Helsinki. Available online:
http://www.doria.fi/bitstream/handle/10024/133234/tie1673.pdf?sequence=1 (accessed on 12 January 2019).
Sustainability 2019, 11, 377
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
12 of 13
Versteeg, H. Netherlands’ experience with sustainable procurement in road construction. International Road
Federation. In Proceedings of the IRF Environment Study Day—GPP & Technology Advancements in the
Road Sector, Brussels, Belgium, 20 September 2011.
European Commission. EU Green Public Procurement Criteria for Road Design, Construction and Maintenance;
European Commission: Brussels, Belgium, 2016.
Celauro, C.; Corriere, F.; Guerrieri, M.; Lo Casto, B.; Rizzo, A. Environmental analysis of different construction
techniques and maintenance activities for a typical local road. J. Clean. Prod. 2017, 142, 3482–3489. [CrossRef]
Balaguera, A.; Carvajal, G.I.; Alberti, J.; Fullana-i-Palmerb, P. Life cycle assessment of road construction
alternative materials: A literature review. Resour. Conserv. Recycl. 2018, 132, 37–48. [CrossRef]
Kar, S.S.; Behl, A.; Shukla, A.; Jain, P.K. Estimation of Carbon Footprints of Bituminous Road Construction
Process. J. Civil Environ. Eng. 2015, 5, 198.
Sreedhar, S.; Jichkar, P.; Biligir, K.P. Investigation of Carbon Footprints of Highway Construction Materials in
India. Transp. Res. Procedia 2016, 17, 291–300. [CrossRef]
Löfgren, B.; Tillman, A.; Rinde, B. Manufacturing actor’s LCA. J. Clean. Prod. 2011, 19, 17–18. [CrossRef]
Poch, M.; Comas, J.; Rodrıguez-Roda, I.; Sànchez-Marrè, M.; Cortès, U. Designing and building real
environmental decision support systems. Environ. Model. Softw. 2014, 19, 857–887. [CrossRef]
Praticò, F.; Casciano, A.; Tramontana, D. Pavement life-cycle cost and asphalt binder quality: Theoretical
and experimental investigation. J. Constr. Eng. Manag. 2010, 137, 99–107. [CrossRef]
Moretti, L.; Mandrone, V.; D’Andrea, A.; Caro, S. Comparative “from cradle to gate” Life Cycle Assessments
of Hot Mix Asphalt (HMA) Materials. Sustainability 2017, 9, 400. [CrossRef]
Azarijafari, H.; Yahia, A.; Ben Amor, M. Life cycle assessment of pavements: Reviewing research challenges
and opportunities. J. Clean. Prod. 2016, 112, 2187–2197. [CrossRef]
Moretti, L.; Caro, S. Critical analysis of the Life Cycle Assessment of the Italian Cement Industry.
J. Clean. Prod. 2017, 152, 198–210. [CrossRef]
Moretti, L.; Di Mascio, P.; Bellagamba, S. Environmental, human health and socio-economic effects of cement
powders: The multicriteria analysis as decisional methodology. Int. J. Environ. Res. Public Health 2017, 14,
645. [CrossRef] [PubMed]
Marzouk, M.; Abdelkader, E.M.; El-zayat, M.; Aboushady, A. Assessing Environmental Impact Indicators in
Road Construction Projects in Developing Countries. Sustainability 2017, 9, 843. [CrossRef]
Hammervold, J. Towards Greener Road Infrastructure: Life cycle Assessment of Case Studies and
Recommendations for Impact Reductions and Planning of Road Infrastructure. Ph.D. Thesis, NTNU,
Trondheim, Norway, 2015.
Moretti, L.; Mandrone, V.; D’Andrea, A.; Caro, S. Evaluation of the environmental and human health impact
of road construction activities. J. Clean. Prod. 2018, 172, 1004–1013. [CrossRef]
Sayagh, S.; Venturaa, A.; Hoanga, T.; Franc, D.; Jullien, A. Sensitivity of the LCA allocation procedure for
BFS recycled into pavement structures. Resour. Conserv. Recycl. 2010, 54, 348–358. [CrossRef]
ECRPD. Energy Conservation in Road Pavement Design, Maintenance and Utilization; Intelligent Energy Europe:
Brussels, Belgium, 2010.
Gkatzoflias, D.; Kouridis, C.; Ntziachristos, L.; Samaras, Z. COPERT 4 Computer Programme to Calculate
Emissions from Road Transport, User manual version 9.0; European Environment Agency: Copenhagen,
Denmark, 2012.
Goedkoop, M.; Heijungs, R.; Huijbregts, M.; De Schryver, A.; Struijs, J.; van Zelm, R. ReCiPe 2008 a Life Cycle
Impact Assessment Method Which Comprises Harmonised Category Indicators at the Midpoint and the
Endpoint Level. First Edition Report I: Characterisation. 2009. Available online: https://www.leidenuniv.
nl/cml/ssp/publications/recipe_characterisation.pdf (accessed on 12 January 2019).
EN (European Committee for Standardization). EN 15804:2012+A1:2013. Sustainability of Construction
Works—Environmental Product Declarations—Core Rules for the Product Category of Construction Products;
European Committee for Standardization: Brussels, Belgium, 2013.
Hoang, T.; Durand, C.; Ventura, A.; Jullien, A.; Laurent, G. A Global Tool for Environmental Assessment of
Roads—Application to Transport for Road Building; European Conference of Transport Research Institutes:
Hague, The Netherlands, 2005.
Ministero delle Infrastrutture e dei Trasporti. Norme Funzionali e Geometriche per la Costruzione Delle Strade;
Italian Ministry of Transportation Decreto Ministeriale: Rome, Italy, 2001.
Sustainability 2019, 11, 377
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
47.
13 of 13
CNR. Catalogo delle Pavimentazioni Stradali. Consiglio Nazionale delle Ricerche, Bollettino Ufficiale 178/95;
Consiglio Nazionale delle Ricerche: Rome, Italy, 1995.
Wernet, G.; Bauer, C.; Steubing, B.; Reinhard, J.; Moreno-Ruiz, E.; Weidema, B. The ecoinvent database
version 3 (part I): Overview and methodology. Int. J. Life Cycle Assess. 2016, 21, 1218–1230. [CrossRef]
SimaPro 8.0.5.13; Software SimaPro. Pré; Consultants: Amersfoort, The Netherlands, 2016.
Di Mascio, P.; Moretti, L. Concrete vs Asphalt: Pavement and Lighting Costs in Italian Road Tunnels; ACI Special
Publication 2018, SP 326, 71; American Concrete Institute: Farmington Hills, MI, USA, 2018.
Moretti, L.; Cantisani, G.; Di Mascio, P. Management of road tunnels: Construction, maintenance and lighting
costs. Tunn. Undergr. Space Technol. 2016, 51, 84–89. [CrossRef]
Moretti, L.; Cantisani, G.; Di Mascio, P.; Caro, S. Technical and economic evaluation of lighting and pavement
in Italian road tunnels. Tunn. Undergr. Space Technol. 2017, 65, 42–52. [CrossRef]
Ente Nazionale Italiano di Normazione (UNI). UNI 11095:2011: Illuminazione delle Gallerie Stradali; UNI:
Milan, Italy, 2011. (In Italian)
Ente Nazionale Italiano di Normazione (UNI). UNI 10439:2001: Illuminotecnica—Requisiti Illuminotecnici Delle
Strade Con Traffico Motorizzato; UNI: Milan, Italy, 2001. (In Italian)
Ente Nazionale Italiano di Normazione (UNI). UNI 11248:2012: Illuminazione Stradale—Selezione Delle
Categorie Illuminotecniche; UNI: Milan, Italy, 2012. (In Italian)
Ente Nazionale Italiano di Normazione (UNI). UNI EN 13201-2:2004: Illuminazione Stradale—Parte 2: Requisiti
Prestazionali; UNI: Milan, Italy, 2004. (In Italian)
European Commission. Commission Directive 2002/80/EC of 3 October 2002 Adapting to Technical Progress
Council Directive 70/220/EEC Relating to Measures to be Taken against Air Pollution by Emissions from Motor
Vehicles; European Commission: Brussels, Belgium, 2002.
Stripple, H. Life Cycle Assessment of Road. A Pilot Study for Inventory Analysis, 2nd ed.; Report IVL Swedish
Environmental Research Institute: Gothenburg, Sweden, 2001.
Di Mascio, P.; Loprencipe, G.; Maggioni, F. Visco-elastic modeling for railway track structure layers.
[Modellazione del comportamento visco-elastico degli strati della sede ferroviaria]. Ingegneria Ferroviaria
2014, 69, 207–222.
Loprencipe, G.; Pantuso, A. A Specified Procedure for Distress Identification and Assessment for Urban
Road Surfaces Based on PCI. Coatings 2017, 7, 65. [CrossRef]
Zanghelini, G.M.; Cherubini, E.; Soares, S.R. How Multi-Criteria Decision Analysis (MCDA) is aiding Life
Cycle Assessment (LCA) in results interpretation. J. Clean. Prod. 2018, 172, 609–622. [CrossRef]
Benoit, V.; Rousseaux, P. Aid for aggregating the impacts in life cycle assessment. Int. J. Life Cycle Assess.
2003, 8, 74–82. [CrossRef]
Albuquerque, G.A.; Maciel, P.; Lima, R.M.F.; Magnani, F. Strategic and tactical evaluation of conflicting
environment and business goals in green supply chains. IEEE Trans. Syst. Man Cybern. Syst. 2013, 43,
1013–1027. [CrossRef]
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).