Commuter Travelers Perception of Toll Roads During the Ramp Up Period in Indonesia

Authors

  • Weka Indra Dharmawan Lecturer of Undergraduate Programs Civil Engineering Department, Faculty of Civil and Environmental Engineering, Bandung Institute of Technology
  • Ade Sjafruddin Lecturer of Master and Doctoral Programs Civil Engineering Department, Faculty of Civil adn Environmental Engineering, Bandung Institute of Technology
  • Russ Bona Frazila Lecturer of Master and Doctoral Programs Civil Engineering Department, Faculty of Civil adn Environmental Engineering, Bandung Institute of Technology
  • Febri Zukhruf Lecturer of Master and Doctoral Programs Civil Engineering Department, Faculty of Civil adn Environmental Engineering, Bandung Institute of Technology

DOI:

https://doi.org/10.5614/jts.2023.30.3.2

Keywords:

Route choice behavior, binary logit model, toll road, ramp-up period, Indonesia

Abstract

Abstract

Studies on the travelers? perceptions to toll roads during the ramp-up period are still rare, whereas they are important to assess toll road investment. The paper aims to establish a first approach in modeling the perceptions of individual commuter travelers during the learning process and adaptation to newly operating toll roads. Particularly, efforts to identify the attitudes and behaviors of individual commuter travelers towards interurban toll roads that connect between developing agglomeration areas. The data is collected through revealed and stated preference surveys using a snowball sampling technique with social media applications. Then we develop a binary logit model to explore commuter travelers? perceptions to toll road during ramp-up period, and the results indicate that when doing commuter travel activities prefer to use the toll road, with the attributes that most influence on decision making respectively, travel time, travel costs, toll gate distance, travel distance, traveler's age, scenic beauty and the frequency of using toll roads. The paper also showed that the positive preference of toll roads during the ramp-up period is not always related to traffic congestion such as in dense urban areas, the presence of sightseeing traffic is very potential.

Keywords: Route choice behavior, binary logit model, toll road, ramp-up period

Abstrak

Studi mengenai persepsi masyarakat terhadap jalan tol selama periode ramp-up masih jarang dilakukan, hal ini penting untuk menilai kelayakan investasinya. Makalah ini bertujuan untuk menetapkan pendekatan pertama dalam memodelkan persepsi individu pelaku perjalanan komuter selama periode tersebut sebagai proses belajar dan beradaptasi terhadap jalan tol yang baru beroperasi. Khususnya, upaya untuk mengidentifikasi sikap dan perilaku individu pelaku perjalanan terhadap jalan tol antar kota penghubung kawasan aglomerasi yang sedang berkembang. Pengumpulan data dilakukan melalui survei revealed dan stated preference dengan teknik bola salju (snowball sampling) yang menggunakan media sosial. Kemudian kami mengembangkan model logit-biner untuk mengeksplorasi persepsi penumpang komuter terhadap jalan tol pada periode ramp-up dan hasilnya menunjukkan bahwa ketika melakukan aktivitas perjalanan, pelaku perjalanan komuter lebih memilih menggunakan jalan tol dengan atribut yang paling berpengaruh terhadap pengambilan keputusan masing-masing adalah, waktu tempuh, biaya perjalanan, jarak gerbang tol, jarak tempuh, umur penumpang, keindahan pemandangan dan frekuensi penggunaan jalan tol. Makalah ini juga menunjukkan bahwa preferensi positif terhadap jalan tol pada periode ramp-up tidak selalu terkait dengan kemacetan lalu lintas seperti di wilayah perkotaan yang padat, keberadaan lalu lintas tamasya sangat potensial mempengaruhi.

Kata-kata kunci: Perilaku pemilihan rute, model logit-biner, jalan tol, periode ramp-up

References

Bain R 2009 Error and Optimism Bias in Toll Road Traffic Forecasts Transportation (Amsterdam) 469 p 82

Bain R and Wilkins M 2002 Traffic Risk in Start-Up Toll Facilities Stand Poor?s Infrastruct Financ p 30

Bain R and Plantagie JW 2003 Traffic Forecasting Risk : Study Update 2003 p 44

Bain R, Polakovic L 2005 Traffic Forecasting Risk Study Update 2005?: Through Ramp-Up And Beyond pp 1?9

Flyvbjerg B, Skamris Holm M K and Buhl S L 2006 Inaccuracy in traffic forecasts Transp Rev 26 pp 1?24

Transport Research Board 2006 Estimating Toll Road Demand and Revenue A Synthesis of Highway Practice pp 1?134

Perez B G, Batac T and Vovsha P 2012 Assessing Highway Tolling and Pricing Options and Impacts Travel Demand Forecasting Tools 2

McFadden D 2007 The behavioral science of transportation Transport Policy 14 p 74

Douglas N 2003 Patronage Ramp-Up Factors for New Rail Services

Chang J S, Chung S, Jung K and Kim K 2010 Patronage Ramp-Up Analysis Model Using a Heuristic F-test Transp Res Board 2175 pp 84?91

Hartgen D T 2013 Hubris or humility? Accuracy issues for the next 50 years of travel demand modeling Transportation (Amsterdam) 40 p 57

Nez A 2008 Estimating the Functional Form of Road Traffic Maturity Networks Spat Econ 257 p 71

Flyvbjerg B 2005 Measuring inaccuracy in travel demand forecasting: Methodological considerations regarding ramp up and sampling Transp Res Part A Policy Pract 522 p 30

D?Este G 2010 What happens to toll road ramp-up profile when there is an initial toll-free period, and the broader implications for demand forecasting Australasian Transport Research Forum pp 1?11

Li Z and Hensher D A 2010 Toll roads in Australia: An overview of characteristics and accuracy of demand forecasts Transp Rev. 30 p 69

Baeza M A and Vassallo J M 2012 Traffic uncertainty in toll motorway concessions in Spain Proc Inst Civ Eng?Transp 165 pp 97?105

Odeck J and Welde M 2017 The accuracy of toll road traffic forecasts: An econometric evaluation Transp Res Part A Policy Pract 101 pp 73?85

Podgorski K V and Kockelman K M 2006 Public perceptions of toll roads: A survey of the Texas perspective Transp Res Part A Policy Pract 40 pp 888?902

Wang J Y T and Ehrgott M 2013 Modelling route choice behavior in a tolled road network with a time surplus maximisation bi-objective user equilibrium model Transp Res Part B 57 p 60

Gomez J, Papanikolaou A and Vassallo J M 2017 Users? perceptions and willingness to pay in interurban toll roads: identifying differences across regions from a nationwide survey in Spain Transportation (Amsterdam) 44 p 74

Knorr F, Chmura T and Schreckenberg M 2014 Route choice in the presence of a toll road: The role of pre-trip information and learning Transp Res Part F Traffic Psychol Behav 27 pp 44?55

Burris M W, Konduru K K and Swenson C R 2004 Long-run changes in driver behavior due to variable tolls Transp Res Rec 1864 pp 78?85

Prato C G 2009 Route choice modeling: Past, present and future research directions. J Choice Model 2 pp 65?100

Alizadeh H, Farooq B, Morency C and Saunier N 2019 Frequent versus occasional drivers: A hybrid route choice model Transp Res Part F Traffic Psychol Behav 64 p 83

Bogers E A I, Bierlaire M and Hoogendoorn S P 2007 Modeling learning in route choice Transp Res Rec 2014 pp 1?8

Bogers E A I, Viti F and Hoogendoorn S P 2005 Joint modeling of advanced travel information service, habit, and learning impacts on route choice by laboratory simulator experiments Transportation Research Record 189 p 97

Wei F, Ma S and Jia N 2014 A Day-to-Day Route Choice Model Based on Reinforcement Learning

Zhu S and Levinson D 2015 Do people use the shortest path? An empirical test of wardrop?s first principle PLoS One 10 pp 1?18

Shang W, Han K, Ochieng W and Angeloudis P 2017 Agent-based day-to-day traffic network model with information percolation Transp A Transp Sci 3 pp 38?66

Di X and Liu HX 2016 Boundedly rational route choice behavior: A review of models and methodologiesTransportation Research Part B: Methodological. Elsevier Ltd 85 p 79

Khoo H L and Asitha K S 2016 User requirements and route choice response to smart phone traffic applications (apps) Travel Behav Soc 3 pp 59?70

Moghaddam Z R, Jeihani M, Peeta S and Banerjee S 2019 Comprehending the roles of traveler perception of travel time reliability on route choice behavior Travel Behav Soc 16 pp 13?22

Jan O, Horowitz A J and Peng Z R 2000 Using global positioning system data to understand variations in path choice Transp Res Rec 1725 pp 37?44

Prato C G, Bekhor S and Pronello C 2012 Latent variables and route choice behavior Transportation (Amsterdam) 39 pp 299?319

Dhakar N and Srinivasan S 2014 Route choice modeling using GPS-based travel surveys Transp Res Rec 2413 pp 65?73

Brownstone D and Small K A 2005 Valuing time and reliability: Assessing the evidence from road pricing demonstrations Transp Res Part A Policy Pract 39 p 93

Hensher D A, Rose J M and Greene W H 2015 Applied choice analysis 11 p 188

Xu G, Miwa T and Morikawa T 2014 Preliminary Analysis on Choice Set and its Change in the Context of Route Choice Decision During a Trip Procedia?Soc Behav Sci 138 pp 76?85

Tawfik A M, Szarka J, House L and Rakha H A 2011Disaggregate route choice models based on driver learning patterns and network experienceIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 445 p 50

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Published

2023-12-21

How to Cite

Dharmawan, W. I., Sjafruddin, A. ., Frazila, R. B., & Zukhruf, F. . (2023). Commuter Travelers Perception of Toll Roads During the Ramp Up Period in Indonesia. Jurnal Teknik Sipil, 30(3), 379-384. https://doi.org/10.5614/jts.2023.30.3.2