A market share analysis for hybrid cars in Indonesia

Irawan, Muhammad Zudhy; Belgiawan, Prawira Fajarindra; Widyaparaga, Adhika; Deendarlianto,; Budiman, Arief; Muthohar, Imam; Sopha, Bertha Maya

doi:10.1016/j.cstp.2017.09.003

Cited by 27 publications

(15 citation statements)

References 15 publications

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“…Even though conducting these studies is essential, there are few studies of tour-based mode choice in developing countries. Most of the studies that have been undertaken focus on mode choice [18][19][20][21], travel behaviour [22][23][24], and activity-travel patterns [25,26]. While their results are useful to inform policy, they tend to ignore the influence of tour type on mode choice or focus on time of use more than travel behavior.…”

Section: Travel Behavior Studies In Jakarta Indonesiamentioning

confidence: 99%

A Tour-Based Mode Choice Model for Commuters in Indonesia

et al. 2019

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With the advent of activity-based modelling, transport planners’ focus has shifted from isolated trips to tours. Tours are series of interconnected trips that start and finish at home. There are different types of tours; we focus on two: hwh (start at home; go to work; and then go back home) and hw+wh (where + represents a non-work activity). Tour types introduce a new dimension to the traditional problem of travel mode choice, as the mode choice might be influenced by the type of tour. This study attempts to measure and compare the relationship between tour type and mode choice using three different modelling approaches: Multinomial Logit (MNL); Nested Logit (NL) and Cross-Nested Logit (CNL). We compare each approach using secondary data from a larger survey: 24-h daily activity patterns of 420 commuters between Bekasi and Jakarta; one of the busiest commuting routes in Indonesia. Among other results, we found that gender and income significantly influence commuter’s choice of mode and that reducing travel time and cost can increase the ridership of public transport. Furthermore, the NL and CNL models showed significant improvement over the simpler MNL when grouping the alternatives based on tour types. This points to a significant influence of the tour type on the mode choice. Policy recommendations to increase traveler’s wellbeing are also formulated.

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Section: Travel Behavior Studies In Jakarta Indonesiamentioning

confidence: 99%

A Tour-Based Mode Choice Model for Commuters in Indonesia

et al. 2019

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“…Currently, the land transportation sector in Indonesia consumes 90% of total energy in the transportation sector [1]. The high growth of 4-wheeled private vehicles between 2010-2014 which was driven by the increased ability of consumers to buy vehicles were one of the main factors that led to the high level of energy consumption in the land transportation sector, especially for oil [2]. To maintain energy security, the Government has set Presidential Regulation No.…”

Section: Introductionmentioning

confidence: 99%

Policy Simulation of Electricity-Based Vehicle Utilization in Indonesia (Electrified Vehicle - HEV, PHEV, BEV and FCEV)

Setiawan

2019

AutoExp

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In the past few years, the energy consumption of the land transportation sector has increased considerably. One of the breakthroughs by the Government through Presidential Regulation No. 22/2017 concerning General Plan for National Energy (RUEN) is the use of electricity-based vehicles to reduce fuel consumption and achieve energy security. Successful policy making for emerging industries depends on two main factors: the adoption of scientific perspectives and accuracy to predict impacts. Therefore, this review aims to conduct a study of policy simulation methodologies related to the use of electric vehicles in Indonesia. Also, identification of the gaps and limitations of previous research is carried out and recommending an agenda for further research.

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“…In the last six years, the oil and gas regulatory body has stated that 68.72% of the demand for vehicles is dominated by communities in Java [2]. So the sample research will be conducted in Java, especially the capital city of Jakarta, West Java, Central Java and East Java.…”

Section: Data Collection 41 Sampling Selectionmentioning

confidence: 99%

“…The growth of car sales in 2010-2014 reached 57%. The number of passenger cars until 2014 is 12,497,072 units [2]. Indonesia's economic growth increases people's purchasing power and vehicle needs to alleviate human work.…”

Section: Introductionmentioning

confidence: 99%

National Car Development in Indonesia with Multiplicative Analytic Hierarchy Process

Wijaya¹,

Edi²,

Isnanto³

2018

IJCA

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Indonesia's economic growth causes people's purchasing power and the need for vehicles to ease performance is increasing. So the necessary development of national vehicles that can be used in accordance with the needs of society in Indonesia. To produce vehicles in accordance with the needs of the community, it is necessary to analyze the needs of vehicle characteristics in accordance with the characteristics of the society in Indonesia. In this research used seven characteristics of vehicle and method Multiplicative Analytic Hierarchy Process (MAHP). The MAHP model is used to obtain effective and consistent conclusions. Consistency in MAHP model will result in the best vehicle conclusion for national car development in Indonesia. General TermsDecision Supporting Systems.

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A market share analysis for hybrid cars in Indonesia

Cited by 27 publications

References 15 publications

A Tour-Based Mode Choice Model for Commuters in Indonesia

A Tour-Based Mode Choice Model for Commuters in Indonesia

Policy Simulation of Electricity-Based Vehicle Utilization in Indonesia (Electrified Vehicle - HEV, PHEV, BEV and FCEV)

National Car Development in Indonesia with Multiplicative Analytic Hierarchy Process

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