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Influence of pricing on mode choice decision integrated with latent variable
Ilahi A.a, Belgiawan P.F.a,b, Axhausen K.W.a
a ETH Zurich, Institute for Transport Planning and Systems, Zurich, Switzerland
b Bandung Institute of Technology, School of Business and Management, 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 Elsevier Inc. All rights reserved.Traffic congestion is a significant problem in many cities around the world. Jakarta, one of the most populous cities, faces this problem. There are several policies that have been implemented to reduce traffic congestion, such as improvement of public transport, car and motor cycle restriction on several roads, and an even-odd license plate policy. However, in this study, we would like to measure the impact of several pricing schemes such as road pricing, parking cost, and transport cost in Jakarta using SP survey data. This study employs two modeling approaches. We estimate the model using MNL (Multinomial Logit) and MXL (Mixed logit). However, there are four different models, two of which integrate Latent Variables (LVs). There are 496 respondents and 5.879 observations for this research. This research found that MXL logit outperforms MNL model, and the Model with LVs outperform than the model without LVs. All pricing scheme (road pricing, parking cost, and travel cost) and also waiting time and transfer has negative and significant impact on the utility of the mode. Furthermore, congestion charging and parking pricing reduce traffic congestion most if they are implemented for car based travel.[/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]Latent variable,Mixed logit,Multinomial logit,Road pricing,Value of time[/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]https://doi.org/10.1016/B978-0-12-817340-4.00008-5[/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]