How Congested Jakarta is? Perception of Jakarta’s Citizen on Traffic Congestion

Muhammad Halley Yudhistira, Decky Priambodo Koesrindartono, Sonny Harry Budiutomo Harmadi, Andhika Putra Pratama


This paper aims to reveal the behavior and perception of Jakarta’s citizens on traffic congestion in Jakarta. Although this approach is somewhat well-developed in behavioral science, its utilization in urban economics study, is still limited. Detecting the traffic congestion and its cause mainly relies on physical (engineering) methods, i.e V/C ratio. Here, we define the traffic congestion through two variables; ordinal traffic congestion perception and proportion of expected travel time to perceived travel time. Using a non-probabilistic sampling survey held in one of densest business district in Jakarta called Sudirman-Thamrin Golden Triangle Area; the estimation results show that travel behavior plays a major role in affecting travel time perceptions.


Studi ini bertujuan untuk melihat tingkah laku masyarakat Jakarta terhadap kemacetan di Jakarta. Pendekatan yang digunakan dalam studi ini telah banyak dikembangkan dalam studi behavioral science, namun penggunaanya dalam studi ekonomi perkotaan masih terbatas. Mendeteksi tingkat kemacetan serta penyebabnya umumnya mengandalkan metode fisik seperti V/C ratio. Studi ini mendefinisikan tingkat kemacetan ke dalam dua variabel, persepsi tingkat kemacetan ordinasl serta proporsi dari ekspektasi waktu perjalanan terhadap waktu perjalanan actual. Dengan menggunakan survey non-probabilitic sampling di Sudirman-Tharim Golden Triangle Area, hasil estimasi menunjukkan bahwa perilaku perjalanan (travel behavior) berperan utama dalam mempengaruhi persepsi waktu perjalanan.

Kata kunci: Tingkat Kemacetan; Waktu Perjalanan; Perilaku Perjalanan; Persepsi

JEL classifications: R40; R41


Traffic Congestion; Travel Time; Travel Behavior; Perception

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Anindia, I, Verhaeghe, RJ, & Zondag, B 2007, Integrated Space-transport Modelling for a Strategic Analysis of Congestion in a Strongly Developing Region, Paper presented in International Conference on Regional and Urban Modelling, 1–2 June 2007, Free University of Brussels, Brussels, viewed 15 June 2010,

Boarnet, M, Kim, E, & Parkany, E 1998, ’Measuring traffic congestion’, Transportation Research Record: Journal of the Transportation Research Board, vol. 1634, pp.93–99. doi:

Harmadi, SH 2006, Megapolitan in Economic Perspective: Megapolitan in Multi Perspective, Faculty of Social and Political Science, Universitas Indonesia.

Jakarta Metropolitan Area Police Office, Traffic Division Unit 2004, Number of registration vehicles in Jakarta Metropolitan Area, Jakarta.

JICA & Bappenas 2004, The Study on Integrated Transportation Master Plan for Jabotabek (Phase II), Pacific Consultants International Almec Corporation – Japan International Cooperation Agency (JICA) & National Development Planning Agency (BAPPENAS) Republic of Indonesia.

Laetz, TJ 1990, ’Predictions and perceptions: Defining the traffic congestion problem’, Technological Forecasting and Social Change, vol. 38, no. 3, pp. 287–292. doi:

Li, YW 2003, ’Evaluating the urban commute experience: A time perception approach’, Journal of Public Transportation, vol. 6, no. 4, pp. 41–67. doi:

McFadden, D 2007, ’The behavioral science of transportation’, Transport Policy, vol. 14, no. 4, pp. 269–274. doi:

Mochtar, MZ & Hino, Y 2006, ’Principal Issues to Improve the Urban Transport Problems in Jakarta’, Mem. Fac. Eng., Osaka City Univ., vol. 47, pp. 31–38.

O’Sullivan, A 2006, Urban Economics, [Sixth Edition, McGraw-Hill Irwin, New York.

Poon, JF & Stopher, PR 2011, Investigating the Effects of Different Types of Travel Information on Travellers’ Learning in a Public Transport Setting using An Experimental Approach, Conference paper delivered at the 34th Australasian Transport Research Forum (ATRF) Proceedings held on 28–30 September 2011 in Adelaide, Australia.

Saw, K, Katti, BK, & Joshi, GJ 2016, ’Impact of Socio-Economic Variables and Travel Environment on Perception of Travel Time: A Case Study of Surat, India’, International Journal for Traffic and Transport Engineering, vol. 6, no. 4, pp. 444–452. doi: 10.7708/ijtte.2016.6(4).07.

Schrank, DL, & Lomax, TJ 1997, Urban Roadway Congestion - 1982 to 1994 Volume 2: Methodology and Urbanized Area Data, Texas Transportation Institute, Austin.

Sugiyono 2002, Metode Penelitian Bisnis, CV Alfa Beta, Bandung.

Transport Research Centre 2004, Managing Urban Traffic Congestion, Summary Document, European Conference of Ministers of Transport (ECMT) – Organisation for Economic Co-operation and Development (OECD), viewed 15 June 2010,

Transportation Bureau of Local Government of Jakarta 2007, Jakarta’s Macro Transportation Model.

Transportation Planning of DKI Jakarta 2007, Pola Transportasi Makro DKI Jakarta.

Venezia, E 2009, ’Determinants of the demand for urban transport: results of a case study’, Working Papers SIET 2009, 09_9, Società Italiana di Economia dei Trasporti e della Logistica - XI Riunione Scientifica –Trieste, 15–18 giugno 2009, viewed 15 June 2010,

Wilbur Smith Associates 2008, Traffic & Transportation Policies and Strategies in Urban Areas in India, Ministry of Urban Development, viewed 15 June 2010,


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