Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models
An important tool to evaluate the influence of these public transit investments on transit ridership is the application of statistical models. Drawing on stop-level boarding and alighting data for the Greater Orlando region, the current study estimates spatial panel models that accommodate for the i...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/8844743 |
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| author | Moshiur Rahman Shamsunnahar Yasmin Ahmadreza Faghih-Imani Naveen Eluru |
| author_facet | Moshiur Rahman Shamsunnahar Yasmin Ahmadreza Faghih-Imani Naveen Eluru |
| author_sort | Moshiur Rahman |
| collection | DOAJ |
| description | An important tool to evaluate the influence of these public transit investments on transit ridership is the application of statistical models. Drawing on stop-level boarding and alighting data for the Greater Orlando region, the current study estimates spatial panel models that accommodate for the impact of spatial and temporal observed and unobserved factors on transit ridership. Specifically, two spatial models, Spatial Error Model and Spatial Lag Model, are estimated for boarding and alighting separately by employing several exogenous variables including stop-level attributes, transportation and transit infrastructure variables, built environment and land use attributes, and sociodemographic and socioeconomic variables in the vicinity of the stop along with spatial and spatiotemporal lagged variables. The model estimation results are further augmented by a validation exercise. These models are expected to provide feedback to agencies on the benefits of public transit investments while also providing lessons to improve the investment process. |
| format | Article |
| id | doaj-art-e72f46a624574d359efc0f5ac6bc134f |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-e72f46a624574d359efc0f5ac6bc134f2025-02-03T00:58:56ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/88447438844743Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel ModelsMoshiur Rahman0Shamsunnahar Yasmin1Ahmadreza Faghih-Imani2Naveen Eluru3Marlin Engineering, Marlin, FL, USAQueensland University of Technology, Centre for Accident Research & Road Safety—Queensland (CARRS‐Q), Brisbane, AustraliaDepartment of Civil and Environmental Engineering, Faculty of Engineering, Imperial College, London, UKDepartment of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL, USAAn important tool to evaluate the influence of these public transit investments on transit ridership is the application of statistical models. Drawing on stop-level boarding and alighting data for the Greater Orlando region, the current study estimates spatial panel models that accommodate for the impact of spatial and temporal observed and unobserved factors on transit ridership. Specifically, two spatial models, Spatial Error Model and Spatial Lag Model, are estimated for boarding and alighting separately by employing several exogenous variables including stop-level attributes, transportation and transit infrastructure variables, built environment and land use attributes, and sociodemographic and socioeconomic variables in the vicinity of the stop along with spatial and spatiotemporal lagged variables. The model estimation results are further augmented by a validation exercise. These models are expected to provide feedback to agencies on the benefits of public transit investments while also providing lessons to improve the investment process.http://dx.doi.org/10.1155/2021/8844743 |
| spellingShingle | Moshiur Rahman Shamsunnahar Yasmin Ahmadreza Faghih-Imani Naveen Eluru Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models Journal of Advanced Transportation |
| title | Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models |
| title_full | Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models |
| title_fullStr | Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models |
| title_full_unstemmed | Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models |
| title_short | Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models |
| title_sort | examining the bus ridership demand application of spatio temporal panel models |
| url | http://dx.doi.org/10.1155/2021/8844743 |
| work_keys_str_mv | AT moshiurrahman examiningthebusridershipdemandapplicationofspatiotemporalpanelmodels AT shamsunnaharyasmin examiningthebusridershipdemandapplicationofspatiotemporalpanelmodels AT ahmadrezafaghihimani examiningthebusridershipdemandapplicationofspatiotemporalpanelmodels AT naveeneluru examiningthebusridershipdemandapplicationofspatiotemporalpanelmodels |