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Role of information on road users’ departure time decisions: An experimental study of variable road pricing
Sunitiyoso Y.a, Hadiansyah F.c, Inayati T.b, Nuraeni S.a, Nurdayat I.F.a, Pambudi N.F.a
a School of Business and Management Institut Teknologi Bandung, Indonesia
b Entrepreneurship Department, BINUS Bandung School of Creative Technology, Indonesia
c
[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]© 2018 Transportation Systems in the Connected Era – Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. All rights reserved.This paper aims to explore the role of information on road users’ departure time decision under several VRP (Variable Road Pricing) conditions in Jakarta. A laboratory-based experiment was conducted to capture the behaviour of road users towards the implementation of VRP scheme. Four treatments related to types of information were tested in the experiment, which were linked to information about (1) own performance, (2) group performance, (3) change in capacity and (4) change in cost. The results of General Linear Model (GLM) analysis show that treatments significantly affect participants’ choices of departure time. Further analysis shows that providing official information has made road users chose peak time more than those of other treatments. It is also indicated that departure time decisions of road users are influenced by their own experiences and official information from the authority. Therefore, in the future VRP should be carefully designed by considering road users’ behaviour.[/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]Departure time,Departure-time decisions,General linear modeling,Group performance,Jakarta,Road pricing,Road users,Travel behaviour[/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]Experiment,General Linear Model,Travel Behaviour,Variable Road Pricing (VRP)[/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][/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][/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]