Sugiarto

Recursive bivariate response models of the ex-ante intentions to link perceived acceptability among charge and refund options for alternative road pricing schemes

Abstract Road pricing (RP) is currently under development as a way to mitigate the acute traffic congestion in Jakarta. The RP has been recognized as a powerful tool in delivering efficient road use. Despite of a well-established rationale that tackled congestion, RP policy faces lack of public support and is seen rather controversial due to charge required to enter charging zone. To encounter shortcomings of RP, we introduce a parking deposit system (PDS) as an alternative. The PDS is based on refunds to car users. Refunds are offered only on parking fees or as discounts on purchases within the charging zone. Thus, this paper explores the key influences and the extent to which RP and PDS schemes are acceptable to the public. Taking into account citizen’s consciousness based on a fictitious voting conducted in Jakarta, we estimated recursive simultaneous bivariate voting models to link perceived acceptability among RP and PDS bundles. We found that there is a complementary relationship between acceptance and consciousness, with PDS offers better approval and there is a substantially strong link between voting intentions and perceived acceptability.

Use of latent variables representing psychological motivation to explore citizens’ intentions with respect to congestion charging reform in Jakarta

The aim of this paper is to investigate the intentions of Jakarta citizens with respect to the electronic road pricing (ERP) reform proposed by the city government. Utilizing data from a stated preference survey conducted in 2013, we construct six variables representing latent psychological motivations (appropriateness of ERP adoption; recognition that ERP can mitigate congestion and improve the environment; car dependency (CDC); awareness of the problems of cars in society; inhibition of freedom movement caused by ERP; and doubts about the ability of ERP to mitigate congestion and environment problems). A multiple-indicators multiple-causes (MIMIC) model is developed to investigate the effects of respondents’ socio-demographics (causes) on the latent constructs in order to gain better understanding of the relationship between respondents’ intentions and the observed individual’s responses (indicators) obtained from the stated preference survey. The MIMIC model offers a good account of whether and how socio-demographic attributes and individual indicators predict the latent variables of psychological motivation constructs. Then, we further verify the influences of the latent variables, combining them with levy rate patterns and daily mobility attributes to investigate significant determining factors for social acceptance of the ERP proposal. A latent variable representations based on the generalized ordered response model are employed in our investigations to allow more flexibility in parameter estimation across outcomes. The results confirm that there is a strong correlation between latent psychological motivations and daily mobility attributes and the level of social acceptance for the ERP proposal. This empirical investigation demonstrates that the latent variables play more substantial role in determining scheme’s acceptance. Moreover, elasticity measures show that latent attributes are more sensitive compared to levies and daily mobility attributes. Therefore, in order to gain the acceptance of the majority of road users, a gradual introduction of ERP may be needed to allow users to gain understanding of the scheme, thereby gaining a more acceptable response. The findings from this work should provide insight for the Jakarta government in designing a more effective and acceptable policy aiming at promoting the adoption of ERP in Jakarta.

Explaining Differences in Acceptance Determinants Toward Congestion Charging Policies in Indonesia and Japan

AbstractComprehensive stated choice (SC) experiments were conducted in Jakarta, Indonesia, and Nagoya, Japan, where proposals for congestion charges have been introduced and remain under consideration as a way to reduce acute car dependence, particularly in Jakarta. Causal paths among psychological determinants and their strengths are measured and analyzed along with proposal acceptability from a cross-country perspective based on the similar context of the SC experiments. The findings from analysis with a multiple-sample, multiple-indicator, multiple-cause (MS-MIMIC) model show that a number of psychological determinants provide an explanation for the acceptability of the proposed scheme in both cities. Psychological motivations, including awareness of the city’s environment and awareness of the problem of cars in society, appear to be the most important direct determinants leading to recognition of the effects of a congestion charging scheme and they are indirect determinants of policy acceptance in bot...

A study on the traffic impact of the road corridors due to flyover construction at Surabaya intersection, Banda Aceh of Indonesia

The urbanest areas are suffering from unmaintained externalities such as excessive travel time, unnecessary fuel consumption and even serious economic loss due extraordinary growth in automobile traffic (i.e. motorcycle and car), and as consequence of automobile ownership and usage have continued rapid growth into recent days including in Banda Aceh, a capital of Aceh Province. An increasing of automobile usage leads to induce traffic congestion in the city centers including in Surabaya intersection. To counter the negative effects of the congestion, the Government of Aceh (GoA) decided to build a flyover at the congested intersection mentioned above. However, during the construction period, traffic congestion is severe along this corridor, and traffic is randomly distributed to the road network in surrounding construction site without any traffic arrangement by the authority. It is, therefore, this research aims to analyze the traffic impact due to flyover’s construction. The study was conducted at three corridors which are considered as the most congested corridors due to exiting of bottleneck traffic. Those corridors are Teuku Muhammad Hasan Rd., Prof Ali Hasyimi Rd., Tgk. Imum Lueng Bata Rd. The findings from the analysis revealed that the traffic loading has increased accounting up to 34% and 37% for Teuku Muhammad Hasan Rd. and Prof. Ali Hasyimi Rd., respectively. Furthermore, the results of the level of service (LOS) analyses show that dropped in LOS from B to C during the construction period for Teuku Muhammad Hasan Rd. and Prof. Ali Hasyimi Rd.The urbanest areas are suffering from unmaintained externalities such as excessive travel time, unnecessary fuel consumption and even serious economic loss due extraordinary growth in automobile traffic (i.e. motorcycle and car), and as consequence of automobile ownership and usage have continued rapid growth into recent days including in Banda Aceh, a capital of Aceh Province. An increasing of automobile usage leads to induce traffic congestion in the city centers including in Surabaya intersection. To counter the negative effects of the congestion, the Government of Aceh (GoA) decided to build a flyover at the congested intersection mentioned above. However, during the construction period, traffic congestion is severe along this corridor, and traffic is randomly distributed to the road network in surrounding construction site without any traffic arrangement by the authority. It is, therefore, this research aims to analyze the traffic impact due to flyover’s construction. The study was conducted at three...

Factors affecting trip generation of motorcyclist for the purpose of non-mandatory activities

The inadequate facilities and limited access to public transport reflect many people using private vehicles, in particular, motorcycle. The motorcycle is most widely used in Indonesia, recently, including Aceh Province. As a result, the number of motorcycle ownership is increasing significantly. The increasing number of motorcycles leads to complex traffic problems. Several factors tend to affect the trip generation of the motorcyclist, i.e., the social demographics of individuals and families, accessibility, etc. This study aims to analyze the characteristics of motorcyclists for non-mandatory activities, i.e. activities other than to work and school. It also aims to determine the dominant factors that affect their trips through trip generation models. The required data consist of primary data and secondary data. Primary data consists of a home interview survey that collects individual’s daily trips. It is conducted by distributing the questionnaires to 400 families residing in Lhokseumawe City. Modeling the trip generation of the motorcyclist is done by multiple linear regression analysis. Parameters calibration uses OLS (Ordinary Least Square) method. The results showed that the dominant variables that affect the trip generation of motorcyclist for non-mandatory activities are license ownership, housewife, school-age children, middle-income household, and lower education level. It can be concluded that some factors affecting trip generation to non-work activities were female motorcyclists from the middle-income household with lower education level. As their status is mostly as the housewife, escorting children to non-school activities seems to the mother’s task, instead of the father. It is clear that, most female ride motorcycle for doing household tasks. However, it should be noted that the use of the motorcycle in long-term does not suit for sustainable transportation.The inadequate facilities and limited access to public transport reflect many people using private vehicles, in particular, motorcycle. The motorcycle is most widely used in Indonesia, recently, including Aceh Province. As a result, the number of motorcycle ownership is increasing significantly. The increasing number of motorcycles leads to complex traffic problems. Several factors tend to affect the trip generation of the motorcyclist, i.e., the social demographics of individuals and families, accessibility, etc. This study aims to analyze the characteristics of motorcyclists for non-mandatory activities, i.e. activities other than to work and school. It also aims to determine the dominant factors that affect their trips through trip generation models. The required data consist of primary data and secondary data. Primary data consists of a home interview survey that collects individual’s daily trips. It is conducted by distributing the questionnaires to 400 families residing in Lhokseumawe City. Modeling...