Modeling the Influence of Weather on Transit Ridership: A Case Study from Brisbane, Australia
Article
Wei, Ming, Corcoran, Jonathan Corcoran, Sigler, Thomas and Liu, Yan. 2018. "Modeling the Influence of Weather on Transit Ridership: A Case Study from Brisbane, Australia." Transportation Research Record. 2672 (8), pp. 505-510. https://doi.org/10.1177/0361198118777078
| Article Title | Modeling the Influence of Weather on Transit Ridership: A Case Study from Brisbane, Australia |
|---|---|
| ERA Journal ID | 4302 |
| Article Category | Article |
| Authors | Wei, Ming, Corcoran, Jonathan Corcoran, Sigler, Thomas and Liu, Yan |
| Journal Title | Transportation Research Record |
| Journal Citation | 2672 (8), pp. 505-510 |
| Number of Pages | 6 |
| Year | Dec 2018 |
| Place of Publication | United States |
| ISSN | 0361-1981 |
| 2169-4052 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1177/0361198118777078 |
| Web Address (URL) | https://journals.sagepub.com/doi/10.1177/0361198118777078 |
| Abstract | This paper examines the influence that weather conditions exert on transit ridership in sub-tropical Brisbane, Australia. Drawing on transit smart card and weather station records covering a period of six months, the weather-transit ridership relationship across three different travel modes is modeled. Our results reveal that weather does impose an effect on transit ridership and that its influence varies by both transit mode and across weekdays and weekends. On weekdays, the heat index, an indicator of human-perceived temperature, was found to exert a negative effect on bus and train ridership, while ferry ridership was shown to be most sensitive to rainfall. On weekends, the ridership across all three transit modes decreased on rainy days. Results from quantile regression suggest that on weekdays during periods of higher ridership the influence of weather on transit ridership becomes stronger, while on weekends the influence of weather is lessened. We argue that our findings are important for transit agencies in their capacity to unveil how an important predictor of ridership variation, weather, exerts an influence across a transit system. These preliminary findings mark the first step in assembling the necessary evidence to build a more weather-resilient transit system. |
| Keywords | Brisbane , Australia; Perceived temperature; Quantile regression; Transit agencies; Transit riderships; Transit systems; Travel modes; Weather stations |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | University of Queensland |
| Library Services |
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Feng, Yongjiu, Liu, Yan and Liu, Yu. 2017. "Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China." Stochastic Environmental Research and Risk Assessment. 31 (9), pp. 2235-2249. https://doi.org/10.1007/s00477-016-1330-7Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean
Feng, Yongjiu, Chen, Xinjun and Liu, Yan. 2017. "Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean." Chinese Journal of Oceanology and Limnology. 35 (4), pp. 921-935. https://doi.org/10.1007/s00343-017-6036-2Bridging the knowledge divide between public and experts using PGIS for land use planning in Malaysia
Zolkafli, Amirulikhsan, Liu, Yan and Brown, Greg. 2017. "Bridging the knowledge divide between public and experts using PGIS for land use planning in Malaysia." Applied Geography. 83, pp. 107-117. https://doi.org/10.1016/j.apgeog.2017.03.013Time-delayed influence of urban landscape change on the susceptibility of koalas to chlamydiosis
McAlpine, Clive, Brearley, Grant, Rhodes, Jonathan, Bradley, Adrian, Baxter, Greg, Seabrook, Leonie, Lunney, Daniel, Liu, Yan, Cottin, Manuelle, Smith, Andrew G. and Timms, Peter. 2017. "Time-delayed influence of urban landscape change on the susceptibility of koalas to chlamydiosis." Landscape Ecology. 32 (3), pp. 663-679. https://doi.org/10.1007/s10980-016-0479-2Understanding ‘change’ through spatial thinking using Google Earth in secondary geography
Xiang, X. and Liu, Y.. 2017. "Understanding ‘change’ through spatial thinking using Google Earth in secondary geography." Journal of Computer Assisted Learning. 33 (1), pp. 65-78. https://doi.org/10.1111/jcal.12166Greenspace and Crime: An Analysis of Greenspace Types, Neighboring Composition, and the Temporal Dimensions of Crime
Kimpton, Anthony, Corcoran, Jonathan and Wickes, Rebecca. 2017. "Greenspace and Crime: An Analysis of Greenspace Types, Neighboring Composition, and the Temporal Dimensions of Crime." Journal of Research in Crime and Delinquency. 54 (3), pp. 303-337. https://doi.org/10.1177/0022427816666309An Evaluation of the Capacity-building Effects of Participatory GIS (PGIS) for Public Participation in Land Use Planning
Zolkafli, Amirulikhsan, Brown, Greg and Liu, Yan. 2017. "An Evaluation of the Capacity-building Effects of Participatory GIS (PGIS) for Public Participation in Land Use Planning." Planning Practice and Research. 32 (4), pp. 385-401. https://doi.org/10.1080/02697459.2017.1329470Mapping mis-location and housing stress in the private rental sector: A case study of Brisbane, Australia
Liu, Yan, Cheshire, Lynda and Wadley, David. 2016. "Mapping mis-location and housing stress in the private rental sector: A case study of Brisbane, Australia." Applied Geography. 76, pp. 207-216. https://doi.org/10.1016/j.apgeog.2016.09.026The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean
Feng, Yongjiu, Chen, Xinjun and Liu, Yan. 2016. "The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean." Fisheries Research. 183, pp. 1-12. https://doi.org/10.1016/j.fishres.2016.05.006Simulating the Impact of Economic and Environmental Strategies on Future Urban Growth Scenarios in Ningbo, China
Liu, Yan and Feng, Yongjiu. 2016. "Simulating the Impact of Economic and Environmental Strategies on Future Urban Growth Scenarios in Ningbo, China." Sustainability. 8 (10), pp. 1-16. https://doi.org/10.3390/su8101045Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China
Feng, Yongjiu and Liu, Yan. 2016. "Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China." Environmental Monitoring and Assessment. 188 (9). https://doi.org/10.1007/s10661-016-5558-yAn effective 3D meshing approach for fractured rocks
Liu, Yan and Xing, H. L.. 2016. "An effective 3D meshing approach for fractured rocks." International Journal for Numerical Methods in Engineering. 107 (5), pp. 363-376. https://doi.org/10.1002/nme.5166Greenspace and Place Attachment: Do Greener Suburbs Lead to Greater Residential Place Attachment?
Kimpton, Anthony, Wickes, Rebecca and Corcoran, Jonathan. 2014. "Greenspace and Place Attachment: Do Greener Suburbs Lead to Greater Residential Place Attachment? " Urban Policy and Research. 32 (4), pp. 477-497. https://doi.org/10.1080/08111146.2014.908769Baby boomers in Queensland: where are they and where are they moving?
Liu, Yan and Soar, Jeffrey. 2005. "Baby boomers in Queensland: where are they and where are they moving?" Bellman, Chris, Cartwright, William and Shortis, Mark (ed.) 2005 Spatial Sciences Institute Biennial Conference: Spatial Intelligence, Innovation and Praxis (SSC2005). Melbourne, Australia 12 - 16 Sep 2005 Melbourne, Australia.Modelling the driving forces of Sydney's urban development (1971-96) in a cellular environment
Liu, Yan and Phinn, Stuart. 2005. "Modelling the driving forces of Sydney's urban development (1971-96) in a cellular environment." Applied Geographic Information Systems (GIS). 1 (3). https://doi.org/10.2104/ag050027This item comprises data from the following sources: Web of Science