Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/112896
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.creator | Zheng, S | en_US |
| dc.creator | Jiang, C | en_US |
| dc.date.accessioned | 2025-05-09T06:14:48Z | - |
| dc.date.available | 2025-05-09T06:14:48Z | - |
| dc.identifier.issn | 0191-2615 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/112896 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Zheng, S., & Jiang, C. (2025). Government persuasion strategies for transport infrastructure adaptation: Spillover effects and social welfare impacts. Transportation Research Part B: Methodological, 196, 103221. is available at https://doi.org/10.1016/j.trb.2025.103221. | en_US |
| dc.subject | Chinese greater bay area | en_US |
| dc.subject | Government Persuasion strategies | en_US |
| dc.subject | Social welfare | en_US |
| dc.subject | Transport infrastructure adaptation | en_US |
| dc.title | Government persuasion strategies for transport infrastructure adaptation : spillover effects and social welfare impacts | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 196 | en_US |
| dc.identifier.doi | 10.1016/j.trb.2025.103221 | en_US |
| dcterms.abstract | This paper explores the government's strategies to persuade multiple transport facility operators to undertake adaptation projects, particularly within the Asian doctrine governance regime, where the government exerts significant influence over facility operations. We develop a Bayesian persuasion model to analyze these strategies, focusing on the spillover effects among operators' projects and their externalities (both positive and negative) on social welfare. Our findings suggest that a straightforward signaling strategy, which directly advises operators on whether to invest, can effectively convey disaster information. When there are no spillover effects and the adaptation projects positively impact social welfare, the government should fully disclose disaster information and persuade operators based on their willingness to invest. However, higher adaptation costs or larger spillover effects complicate the government's persuasion efforts. To demonstrate the practical value of our theoretical framework, we apply our Bayesian persuasion model to the case of port adaptation in the Greater Bay Area in China. The model calibration results indicate that when operators act independently, larger spillover effects can lead to either lower or higher social welfare, depending on whether the adaptation projects have positive or negative impacts, respectively. When adaptation projects positively affect social welfare, operators' alliance strategies of joint adaptation investment or resource sharing enhance social welfare. If spillover effects exist among operators, a benefit distribution scheme based on the Shapley value can maintain stability within the grand coalition of all operators. Finally, increasing adaptation costs have uneven impacts on different operators, with those facing the highest costs being more likely to be excluded from the government's persuasion efforts. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Transportation research. Part B, Methodological, June 2025, v. 196, 103221 | en_US |
| dcterms.isPartOf | Transportation research. Part B, Methodological | en_US |
| dcterms.issued | 2025-06 | - |
| dc.identifier.scopus | 2-s2.0-105003098798 | - |
| dc.identifier.eissn | 1879-2367 | en_US |
| dc.identifier.artn | 103221 | en_US |
| dc.description.validate | 202505 bcwc | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Science Foundation of China; Natural Science Foundation of Beijing Municipality | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.TA | Elsevier (2025) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0191261525000700-main.pdf | 866.96 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



