dc.contributor.author | Ge, Ying-En | |
dc.contributor.author | Prentkovskis, Olegas | |
dc.contributor.author | Tang, Chunyan | |
dc.contributor.author | Saleh, Wafaa | |
dc.contributor.author | Bell, Michael G.H. | |
dc.contributor.author | Junevičius, Raimundas | |
dc.date.accessioned | 2023-09-18T16:34:00Z | |
dc.date.available | 2023-09-18T16:34:00Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 0353-5320 | |
dc.identifier.other | (BIS)VGT02-000031604 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/115006 | |
dc.description.abstract | It is nowadays widely accepted that solving traffic congestion from the demand side is more important and more feasible than offering more capacity or facilities for transportation. Following a brief overview of evolution of the concept of Travel Demand Management (TDM), there is a discussion on the TDM foundations that include demand-side strategies, traveler choice and application settings and the new dimensions that ATDM (Active forms of Transportation and Demand Management) bring to TDM, i.e. active management and integrative management. Subsequently, the authors provide a short review of the state-of-the-art TDM focusing on relevant literature published since 2000. Next, we highlight five TDM topics that are currently hot: traffic congestion pricing, public transit and bicycles, travel behavior, travel plans and methodology. The paper closes with some concluding remarks. | eng |
dc.format | PDF | |
dc.format.extent | p. 529-538 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | FLUIDEX | |
dc.relation.isreferencedby | GEOBASE | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.subject | TD04 - Transporto ir logistikos technologijos, transporto rūšių sąveika / Transport and logistics technology, interaction of transport modes | |
dc.title | Solving traffic congestion from the demand side | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 52 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Shanghai Maritime University Dalian University of Technology | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Dalian University of Technology | |
dc.contributor.institution | Edinburgh Napier University | |
dc.contributor.institution | University of Sydney Business School | |
dc.contributor.faculty | Transporto inžinerijos fakultetas / Faculty of Transport Engineering | |
dc.subject.researchfield | T 003 - Transporto inžinerija / Transport engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | Travel demand management | |
dc.subject.en | Traffic congestion pricing | |
dc.subject.en | Travel behaviour | |
dc.subject.en | Travel plans | |
dc.subject.en | Active demand management | |
dc.subject.en | Integrative demand management | |
dcterms.sourcetitle | PROMET – Traffic&Transportation : scientific journal on traffic and transportation research | |
dc.description.issue | no. 6 | |
dc.description.volume | Vol. 27 | |
dc.publisher.name | University of Zagreb | |
dc.publisher.city | Zagreb | |
dc.identifier.doi | 10.7307/ptt.v27i6.1734 | |
dc.identifier.elaba | 15333149 | |