Transportation cannot be separated from human life in supporting daily activities. Transportation users use vehicles to mobilize from the location of origin to the destination location by using the mode of transportation. Public transportation modes and private vehicles are one of the modes that are widely used by transportation users today. However, current private transportation users continue to increase when compared to public vehicle users because private transportation is considered more efficient, practical and safe by some users when compared to public vehicle users. The increasing use of private vehicles will cause other problems related to congestion, especially in densely populated urban areas. Congestion causes losses to humans both in terms of economy, environment and health. In the transportation and environmental sectors, congestion causes high air pollution due to the longer the vehicle operates on the road when compared to when the traffic flow is smooth, so it is very important to conduct further research related to reducing the level of congestion. Congestion itself can be minimized in various ways, one of which is by building toll roads that are devoted to reducing external movements that burden the road network in the city. By diverting external movements that pass through national roads to toll roads, it is expected to reduce congestion levels and stabilize vehicle speeds. It is expected that reducing congestion and stabilizing vehicle speeds can reduce vehicle emission levels. This study aims to determine the effect of toll road development on reducing emission levels by modeling traffic using software. By using the Maximum Entropy method to obtain the value of the β parameter which will be used as a determining factor for the distribution of movement in each zone and road network loading using EMME/4 software. By using two scenarios, namely the do-something scenario (adding toll roads) and do-nothing (without adding toll roads). The difference in scenarios is done to get a comparison of road network performance results and emission levels from the do-something scenario and the do-nothing scenario. From the results of the analysis, it can be seen that the construction of toll roads (do-something) passing through Sragen Regency has an effect on reducing emission levels in Sragen Regency.

1.
2.
Asian Development Bank
,
Guidelines for Estimating Greenhouse Gas Emissions of Asian Development Bank Projects: Additional Guidance for Clean Energy Projects
(
Asian Development Bank
,
Manila
,
2017
).
3.
B.
Matthew
and
B.
Kanok
,
ACCESS Magazine
1
, (
2009
).
4.
Y.
Wen
,
S.
Zhang
S,
J.
Zhang
,
S.
Bao
,
X.
Wu
,
D.
Yang
and
Y.
Wu
,
Appl. Energy
260
,
114357
(
2020
).
5.
N.
Pala-En
,
K.
Manomaiphiboon
,
T.
Boonyoo
,
E.
Kokkaew
,
S.
Pattaramunikul
and
P.
Nakharin
, “
Traffic-model-based emissions for transportation sector to support PM2.5 management in Bangkok and its vicinity: initial results
” in
National Conference on Air Quality in Thailand: PM2.5
(
2019
).
6.
H.
Fang
and
L.
Bian
, “
Study on Traffic Status and Carbon Emission of Urban Transport in Beijing
IOP Conf. Ser. Earth Environ. Sci.
820
, (
2021
).
7.
J.
Dong
,
Y.
Li
,
W.
Li
and
S.
Liu
,
Sustainability
14
,
5454
(
2022
).
8.
W.
Jamilah
,
Syafi’i
and
D.
Handayani
, “Impact of freight transportation on road network performance in Surakarta with toll road scenario”
AIP Conference Proceedings 1977
, (
AIP Publishing
,
Melville, NY
,
2018
).
9.
R.
Suyuti
and
O. Z.
Tamin
,
J. Transp
7
,
45
56
(
2007
).
10.
E.
Ericsson
,
H.
Larsson
and
K.
Brundell-Freij
,
Transp. Res. Part C Emerg. Tech.
14
,
369
83
(
2006
).
11.
S.
Mathew
,
S. S.
Pulugurtha
and
A. S.
Mane
,
Transp. Letters
12
,
604
612
(
2020
).
12.
O. Z.
Tamin
,
Perencanaan, Pemodelan dan Rekayasa Transportasi
(
ITB
,
Bandung
,
2008
).
13.
K. N. S.
Ayuningtyas
,
R. B.
Frazila
,
S. S.
Wibowo
,
Int. Jour. of Sust. Transp. Tech.
2
,
8
18
(
2019
).
This content is only available via PDF.
You do not currently have access to this content.