Node, place, ridership, and time model for rail-transit stations: a case study
Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) shou...
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| Published in | Scientific reports Vol. 12; no. 1; pp. 16120 - 16 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
27.09.2022
Nature Publishing Group Nature Portfolio |
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| Abstract | Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) should be considered in city development projects. To manage the coordination between these two factors, we need to consider ridership and peak and off-peak hours as essential enablers in our investigations. To aim this, we conducted our research on Chengdu rail-transit stations as a case study to propose our Node-Place-Ridership-Time (NPRT) model. We applied the Multiple Linear Regression (MLR) to examine the impacts of node value and place value on ridership. Finally, K-Means and Cube Methods were used to classify the stations based on the NPRT model results. This research indicates that our NPRT model could provide accurate results compared with the previous models to evaluate rail-transit stations. |
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| AbstractList | Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) should be considered in city development projects. To manage the coordination between these two factors, we need to consider ridership and peak and off-peak hours as essential enablers in our investigations. To aim this, we conducted our research on Chengdu rail-transit stations as a case study to propose our Node-Place-Ridership-Time (NPRT) model. We applied the Multiple Linear Regression (MLR) to examine the impacts of node value and place value on ridership. Finally, K-Means and Cube Methods were used to classify the stations based on the NPRT model results. This research indicates that our NPRT model could provide accurate results compared with the previous models to evaluate rail-transit stations. Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) should be considered in city development projects. To manage the coordination between these two factors, we need to consider ridership and peak and off-peak hours as essential enablers in our investigations. To aim this, we conducted our research on Chengdu rail-transit stations as a case study to propose our Node-Place-Ridership-Time (NPRT) model. We applied the Multiple Linear Regression (MLR) to examine the impacts of node value and place value on ridership. Finally, K-Means and Cube Methods were used to classify the stations based on the NPRT model results. This research indicates that our NPRT model could provide accurate results compared with the previous models to evaluate rail-transit stations.Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) should be considered in city development projects. To manage the coordination between these two factors, we need to consider ridership and peak and off-peak hours as essential enablers in our investigations. To aim this, we conducted our research on Chengdu rail-transit stations as a case study to propose our Node-Place-Ridership-Time (NPRT) model. We applied the Multiple Linear Regression (MLR) to examine the impacts of node value and place value on ridership. Finally, K-Means and Cube Methods were used to classify the stations based on the NPRT model results. This research indicates that our NPRT model could provide accurate results compared with the previous models to evaluate rail-transit stations. Abstract Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) should be considered in city development projects. To manage the coordination between these two factors, we need to consider ridership and peak and off-peak hours as essential enablers in our investigations. To aim this, we conducted our research on Chengdu rail-transit stations as a case study to propose our Node-Place-Ridership-Time (NPRT) model. We applied the Multiple Linear Regression (MLR) to examine the impacts of node value and place value on ridership. Finally, K-Means and Cube Methods were used to classify the stations based on the NPRT model results. This research indicates that our NPRT model could provide accurate results compared with the previous models to evaluate rail-transit stations. |
| ArticleNumber | 16120 |
| Author | Yang, Qihong Zhang, Shiquan Zhang, Zhengrui Postel, Victor Huang, Dengshi Li, WeiYu Zhao, Yana Amini Pishro, Mojdeh Amini Pishro, Ahad |
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| CitedBy_id | crossref_primary_10_1016_j_scs_2023_104865 crossref_primary_10_1016_j_tra_2023_103922 crossref_primary_10_3390_su16114501 crossref_primary_10_1080_17538947_2024_2443468 crossref_primary_10_3390_su16083449 crossref_primary_10_3390_su16177502 crossref_primary_10_3390_s24123884 crossref_primary_10_1155_atr_7450495 crossref_primary_10_1061_JTEPBS_TEENG_8173 crossref_primary_10_3390_buildings14041002 crossref_primary_10_3390_buildings13081944 crossref_primary_10_1016_j_jtrangeo_2024_103993 crossref_primary_10_3390_smartcities6050105 crossref_primary_10_1007_s40864_023_00211_3 crossref_primary_10_1016_j_foar_2024_04_005 crossref_primary_10_1038_s41598_024_75541_8 crossref_primary_10_1016_j_retrec_2023_101338 crossref_primary_10_3390_su16031225 crossref_primary_10_3390_en17061426 crossref_primary_10_3390_land13081233 |
| Cites_doi | 10.1016/j.jtrangeo.2015.07.003 10.1016/j.trpro.2014.11.013 10.1016/j.conbuildmat.2020.119942 10.1016/j.jtrangeo.2010.08.008 10.1068/b100219 10.1007/s11067-018-9409-y 10.1016/0378-8733(78)90021-7 10.4324/9781315659206 10.1038/s41598-021-94480-2 10.1016/j.jtrangeo.2016.07.002 10.1016/j.jtrangeo.2007.05.004 10.3390/su11020477 10.1016/j.trd.2020.102518 10.1016/j.jtrangeo.2003.10.005 10.1080/02697459915724 10.2495/UT120131 |
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| Snippet | Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of... Abstract Nowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the... |
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| Title | Node, place, ridership, and time model for rail-transit stations: a case study |
| URI | https://link.springer.com/article/10.1038/s41598-022-20209-4 https://www.proquest.com/docview/2718494380 https://www.proquest.com/docview/2718962652 https://pubmed.ncbi.nlm.nih.gov/PMC9515214 https://doaj.org/article/98df5e670d13462caef3f8b7bdfa0012 |
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