Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share

Altieri, Marcelo; Silva, Cecília; Terabe, Shintaro

doi:10.1016/j.jtrangeo.2020.102817

Cited by 19 publications

(2 citation statements)

References 44 publications

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“…Thus, we assumed that the average behavior could be reflected by the model parameters, which were applied for the transportation mode choice estimation. The other studies applied alternative approaches to estimating the modal share under the data limitation, for example, modeling based on the expert survey [35] and statistical model using travel time ratio [36]. They can be candidates for the modal split analysis under the data limitation.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

et al. 2021

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Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.

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Section: Methodsmentioning

confidence: 99%

Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

et al. 2021

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“…Časovno konkurenčnost JPP večinoma ponazarja razmerje med potovalnima časoma JPP in osebnega avtomobila (angleško travel time ratio ali relative travel time). Številne študije kažejo, da ugoden potovalni čas JPP močno spodbuja njegovo uporabo (Beirão in Sarsfield Cabral 2007;Commins in Nolan 2011;Altieri, Silva in Terabe 2020); v Oslu je, na primer, delež poti z JPP na delo v primeru enakega potovalnega časa kar 60 %, pri razmerju 1 : 3 v prid avtomobila pa je skoraj trikrat manjši, pri čemer je pomembna tudi dovolj velika pogostnost voženj (Lunke, Fearnley in Aarhaug 2021). Gabrovec in Bole (2009) na podlagi rezultatov popisa prebivalstva iz leta 2002 ugotavljata, da je delež uporabnikov JPP med dnevnimi vozači na delo bistveno večji na relacijah s časovno konkurenčno železniško povezavo.…”

Section: Uvodunclassified

Časovna konkurenčnost medkrajevnega javnega potniškega prometa v Sloveniji

Tiran¹,

Hrvatin²,

Gabrovec³

2021

Geogr. vestn.

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Prispevek ocenjuje časovno konkurenčnost medkrajevnega javnega potniškega prometa (JPP) v Sloveniji v primerjavi z osebnim motornim prometom. S pomočjo podatkov o voznih redih JPP in povprečnem trajanju poti z osebnim avtomobilom smo primerjali potovalne čase JPP in osebnega avtomobila na izbranih povezavah do Ljubljane in Maribora. Pri tem smo upoštevali tudi vpliv cestnoprometnih zastojev v času jutranjih konic in rezultate ovrednotili z vidika tokov dnevne mobilnosti. Ugotovili smo, da je JPP na večini medregionalnih povezav časovno popolnoma nekonkurenčen osebnemu avtomobilu. Bolj konkurenčne potovalne čase ima železniški potniški promet, zlasti na krajših razdaljah in v času prometnih konic. The paper analyses the relative travel time of interurban public transport (PT) in Slovenia compared to private motorised transport. Based on timetable data from PT and average travel time by car, we calculated the travel time ratio between selected interurban routes towards Ljubljana and Maribor, the two largest cities in Slovenia. We also considered traffic congestion during the morning rush hour and evaluated the results from the point of view of daily mobility flows. We found that PT is much slower than car on most interurban routes. Rail is more time competitive, but only on shorter routes and during rush hours.

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Performance classification of Tunisian public transport operators

Derbel

Boujelbène

2023

Public Transp

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Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share

Cited by 19 publications

References 44 publications

Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

Časovna konkurenčnost medkrajevnega javnega potniškega prometa v Sloveniji

Performance classification of Tunisian public transport operators

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