Pavement sustainability index for highway infrastructures: A case study of Maryland
Stella O. OBAZEE-IGBINEDION1, Oludare OWOLABI2()
1. Montgomery County, Department of Transportation, 100 Edison Park Drive, Gaithersburg, MD 20878, USA 2. Department of Civil Engineering, Morgan State University, 1700 East Cold Spring Lane, Baltimore, MD 21251, USA
Pavement deterioration creates conditions that undermine their performances, which gives rise to the need for maintenance and rehabilitation. This paper develops a mathematical multi-linear regression analysis (MLRA) model to determine a pavement sustainability index (PSTI) as dependent variable for flexible pavements in Maryland. Four categories of pavement performance evaluation indicators are subdivided into seven pavement condition indices and analyzed as independent variables for each section of pavement. Data are collected from five different roadways using field evaluations and existing database. Results indicate that coefficient of determination (R2) is correlated and significant, R2 = 0.959. Of the seven independent variables, present serviceability index (PSI) is the most significant with a coefficient value of 0.032, present serviceability rating (PSR) coefficient value= 0.028, and international roughness index (IRI) coefficient value= ?0.001. Increasing each unit value of coefficients for PSI and PSR would increase the value of PSTI; thereby providing a more sustainable pavement infrastructure; which explains the significance of the model and why IRI will most likely impact environmental, economic and social values.
. [J]. Frontiers of Structural and Civil Engineering, 2018, 12(2): 192-200.
Stella O. OBAZEE-IGBINEDION, Oludare OWOLABI. Pavement sustainability index for highway infrastructures: A case study of Maryland. Front. Struct. Civ. Eng., 2018, 12(2): 192-200.
public involvement in transportation decision making process
traffic congestion
water quality
security
water quality
noise pollution
noise pollution
noise pollution
Tab.1
S/No
road name
description of road
AADT
distance in miles
classification
1
MD 97 (Georgia Avenue)-NB & SB
from MD 28 (Norbeck Road) to MD 108 (Olney Road)
16616 & 21900 respectively
4.88 a)
arterial
2
MD 187 (Old Georgetown Road)-NB
from MD 355 (Wisconsin Avenue) to I-495
14896
1.5 b)
arterial
3
MD 28 (Norbeck Road) - EB & WB
from MD 97 (Georgia Avenue) to MD 182 (Lyhill Road)
10836
2.50 c)
arterial
4
MD 182 (Lyhill Road)- NB & SB
from Norbeck Road (MD 28) to Bel Pre Road
43376
4.22 d)
principal arterial
5
NB US Highway 15 (Catcoctin Mountain Highway)
from MD RTE 26 (Liberty Road) to MD RTE 806 (Catoctin Furnace Road)
21989
8.55 e)
highway
Tab.2
pavement condition category
PSR
pavement condition index (PCI) range
FHWA IRI category (in/mi)
PSTI
very good
4–5
85–100
<95
1.0
good
3.0–3.9
70–85
95–170
0.8
fair
2.0–2.9
55–70
170–220
0.6
poor
1.0–1.9
40–55
220–320
0.4
very poor
0–0.9
25–40
320–350
0.2
failed
0
0–25
>350
0
Tab.3
Fig.1
multiple R
R square
adjusted R square
standard error
observations
0.979585617
0.959587982
0.958919225
0.035636424
431
Tab.4
ANOVA
df
SS
MS
F
significance F
regression
7
12.75565764
1.822237
1434.883
3.4123E-290
residual
423
0.537190838
0.00127
total
430
13.29284848
Tab.5
coefficients
standard error
t-stat
P-value
lower 95%
upper 95%
lower 95.0%
upper 95.0%
intercept
0.695210994
0.046294138
15.01726
3.68E-41
0.604215792
0.786206
0.60421579
0.7862062
IRI(x1)
−0.001295253
7.10226E-05
−18.2372
3.01E-55
−0.001434854
-0.00116
-0.0014349
−0.00115565
PSR(x2)
0.02772535
0.007401972
3.745671
0.000205
0.013176122
0.042275
0.01317612
0.04227458
PSI (x3)
0.032036464
0.006779317
4.725619
3.13E-06
0.018711121
0.045362
0.01871112
0.04536181
RTI (x4)
−0.011654437
0.010247284
−1.13732
0.256049
−0.031796375
0.008488
−0.0317964
0.0084875
CKI (x5)
0.000130347
9.64887E-05
1.350904
0.177448
−5.931E-05
0.00032
−5.931E-05
0.00032
SRI (x6)
0.000500297
0.000411561
1.215607
0.224813
−0.000308663
0.001309
0.0003087
0.00130926
SAI (x7)
−0.003440325
0.001334204
−2.57856
0.010258
−0.00606282
-0.00082
−0.0060628
−0.00081783
Tab.6
Fig.2
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