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Road Pricing in Indonesia: How Will Public Respond?
Sunitiyoso Y.a, Nuraeni S.a, Inayati T.b, Hadiansyah F.a, Nurdayat I.F.a, Pambudi N.F.a
a Institut Teknologi Bandung, Bandung, Indonesia
b Bina Nusantara Univesity, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 The Authors. Published by Elsevier B.V.Road pricing basic rationale argues that congestion occur as the result of an increasing number of travellers who use private transportation mode, instead of public transport. Road pricing could influence road users’ choice of transportation mode. An electronic road pricing (ERP) is planned to be implemented in Jakarta, the capital of Indonesia, while the public acceptance of the policy is not yet known. This study aims to describe public acceptance of road pricing with the influence of the differences in socio-demographic condition (Model 1), traffic management strategies perception (Model 2), and road pricing revenue allocation perception (Model 3). The data is collected from 356 respondents in Jakarta. This study uses logistic regression (logit) modelling to facilitate the discrete nature of the data especially public acceptance as a dependent variable that is categorized as a binary answer. The results show that Model 1 is not significant, Model 2 shows that perception on road pricing is significant and finally Model 3 is significant, especially if road pricing revenue is allocated to develop public transport, to increase road connectivity, and to protect the environment.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]choice modelling,electronic road pricing (ERP),logit model,public acceptance,Road pricing[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]The authors offer their gratitude to the Indonesian Ministry of Research, Technology and Higher Education who has provided funding for this study through Higher Education’s Eminent Basic Research (PDUPT) grant.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1016/j.trpro.2020.03.084[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]