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Pedestrian facilities evaluation using Pedestrian Level of Service (PLOS) for university area: Case of Bandung Institute of Technology
Wibowo S.S.a, Nurhalima D.R.M.a
a Bandung Institute of Technology, Study Prog. of Civil Eng., Bandung, 40132, 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]© 2018 The Authors, published by EDP Sciences.Promotion of walking activities can be done by applying the concept of walkability through infrastructure improvement of pedestrian facilities. Knowledge of how well a highway can be pedestrian friendly and secure through pedestrian assessment become important. The pedestrian level of service (PLOS) is the most common approach to assessing the quality of pedestrian facility operations. This research evaluated pedestrian facilities by using several PLOS methods. i.e. HCM (2000), Trip Quality (Jazkiewicz, 1999), Gainesville (Dixon, 1996), and Australian (Main Roads WA, 2006), for the case of university area at Bandung Institute Technology. Data collection techniques used consisted of traffic counting survey and observation. Improvement recommendations are given to poorly rated performance indicators in the PLOS evaluation. The results of PLOS evaluations is vary and improvement of pedestrian facilities are still required on some indicator such as maintenance, effective width, lighting, access and supporting facility, crossing facilities, and potential conflict with vehicle.[/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]Data collection,Facility operations,Improvement recommendations,Infrastructure improvements,Level of Service,Performance indicators,Potential conflict,Walking activity[/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][/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/10.1051/matecconf/201818102005[/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]