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http://hdl.handle.net/1942/27174Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | KHALIQ, Annum | - |
| dc.contributor.author | VAN DER WAERDEN, Peter | - |
| dc.contributor.author | JANSSENS, Davy | - |
| dc.contributor.author | WETS, Geert | - |
| dc.date.accessioned | 2018-10-22T10:54:32Z | - |
| dc.date.available | 2018-10-22T10:54:32Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Transportation Research Procedia, 37, p. 131-138 | - |
| dc.identifier.issn | 2352-1465 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/27174 | - |
| dc.description.abstract | This paper describes a conceptual framework of a behavioral model, well able to predict the parking choice decision process of car drivers’ while driving in a city center. The model assumes that parking choice decisions are mainly based on features associated to road conditions that a car driver faces while entering a street. A stated preference experiment was designed to collect respondents’ preferences related to preferred parking facility. A set of hypothetical road conditions were presented in the form of choice tasks. The collected data is analyzed using mixed multinomial logit model. The results from the model estimation show that almost all the presented attributes such as parking costs, payment options, expected parking duration, speed limit, level of parking convenience, space availability and surrounding activities play a considerable role when determining car drivers’ parking preferences. Moreover, the model highlights relatively important road related attributes which can induce search traffic. Therefore, cruising for parking can be reduced by avoiding certain road conditions, this information is valuable for the local authorities to design efficient parking policies. | - |
| dc.language.iso | en | - |
| dc.rights | © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Selection and peer-review under responsibility of the scientific committee of the 21st EURO Working Group on Transportation Meeting, EWGT 2018, 17th – 19th September 2018, Braunschweig, Germany. | - |
| dc.subject.other | parking policy evaluation; forecasting model; on-street parking choice | - |
| dc.title | A Conceptual Framework for Forecasting Car Driver’s On-Street Parking Decisions | - |
| dc.type | Proceedings Paper | - |
| dc.identifier.epage | 138 | - |
| dc.identifier.spage | 131 | - |
| dc.identifier.volume | 37 | - |
| local.bibliographicCitation.jcat | C1 | - |
| dc.description.notes | Khaliq, A (reprint author), UHasselt Hasselt Univ, IMOB, Agoralaan, B-3590 Diepenbeek, Belgium. annum.kahliq@uhasselt.be | - |
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Young, W., Taylor, M., 1991. A parking model hierarchy. Transportation, 18(1):37–58. Young, W., 2008 Modelling Parking. In: D. Hensher and K.J. Button (eds.) Handbook of Transport Modelling, Second Edition, Elsevier Ltd, Oxford, UK, 475-487. | - |
| local.type.refereed | Refereed | - |
| local.type.specified | Proceedings Paper | - |
| dc.identifier.doi | 10.1016/j.trpro.2018.12.175 | - |
| dc.identifier.isi | 000471043300017 | - |
| item.validation | ecoom 2020 | - |
| item.validation | vabb 2020 | - |
| item.contributor | KHALIQ, Annum | - |
| item.contributor | VAN DER WAERDEN, Peter | - |
| item.contributor | JANSSENS, Davy | - |
| item.contributor | WETS, Geert | - |
| item.accessRights | Open Access | - |
| item.fullcitation | KHALIQ, Annum; VAN DER WAERDEN, Peter; JANSSENS, Davy & WETS, Geert (2018) A Conceptual Framework for Forecasting Car Driver’s On-Street Parking Decisions. In: Transportation Research Procedia, 37, p. 131-138. | - |
| item.fulltext | With Fulltext | - |
| crisitem.journal.issn | 2352-1465 | - |
| Appears in Collections: | Research publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| trpro_ewgt khaliq-vanderwaerden-janssens-wets.pdf | Peer-reviewed author version | 693.52 kB | Adobe PDF | View/Open |
| 1-s2.0-S2352146518305908-main.pdf | Published version | 782.72 kB | Adobe PDF | View/Open |
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