Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrew Bwambale"'
Publikováno v:
Transportation. 48:2287-2314
Traditional approaches to travel behaviour modelling primarily rely on household travel survey data, which is expensive to collect, resulting in small sample sizes and infrequent updates. Furthermore, such data is prone to reporting errors which can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bd5f86b02f576669ffb98a6841dd86b
https://doi.org/10.1007/s11116-020-10129-5
https://doi.org/10.1007/s11116-020-10129-5
Autor:
Andrew Bwambale, Chinebuli Uzondu, Mohaimanul Islam, Farzana Rahman, Zahara Batool, Paul Isolo Mukwaya, Zia Wadud
Publikováno v:
Transportation Research Part A: Policy and Practice. 167:103561
In order to combat the spread of COVID-19, various measures were taken in most countries to make public transit and paratransit safer. These additional measures, which include restrictions on number of passengers, provision of hand sanitisers and fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::266219f983d3908d310ead3db8475852
https://doi.org/10.1016/j.tra.2022.103561
https://doi.org/10.1016/j.tra.2022.103561
Publikováno v:
Transportation Research Part A: Policy and Practice. 130:424-439
The rapid growth in passive mobility tracking technologies has led to departure time choice studies based on GPS data in recent years (e.g. Peer et al., 2013). GPS data however typically has limited sample sizes and is affected by technical issues li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3be08340bb050d765046728e58c653d4
https://doi.org/10.1016/j.tra.2019.09.054
https://doi.org/10.1016/j.tra.2019.09.054
Publikováno v:
Transportmetrica A: Transport Science. 15:1543-1568
The growing mobile phone penetration rates have led to the emergence of large-scale call detail records (CDRs) that could serve as a low-cost data source for travel behaviour modelling. However, to the best of our knowledge, there is no previous stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f3fda7fdf91984bbbe63c8c70925642
https://doi.org/10.1080/23249935.2019.1611970
https://doi.org/10.1080/23249935.2019.1611970
Publikováno v:
Journal of Transport Geography. 76:276-286
Traditional approaches to trip generation modelling rely on household travel surveys which are expensive and prone to reporting errors. On the other hand, mobile phone data, where spatio-temporal trajectories of millions of users are passively record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31920f61d5775084b247bda30b23ea6c
https://doi.org/10.1016/j.jtrangeo.2017.08.020
https://doi.org/10.1016/j.jtrangeo.2017.08.020
Publikováno v:
Transportation in Developing Economies. 5(2):10-10
In many countries of the developing world, it is difficult to conduct large-scale household travel surveys to collect data for travel behaviour model estimation and application. This paper focuses on two candidate solutions to the problem: (1) develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5583adecb2555eb35f63a688ccc18391
https://hdl.handle.net/20.500.14094/90005937
https://hdl.handle.net/20.500.14094/90005937