Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey
The possible future introduction of Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) raises questions about how they might affect the demand for transport and especially modal choice. In this research, a stated preference (SP) survey and a modelling process using Mixed Logit are propo...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/1108272 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832565415190986752 |
|---|---|
| author | Rubén Cordera Esther González-González Soledad Nogués Julián Arellana José L. Moura |
| author_facet | Rubén Cordera Esther González-González Soledad Nogués Julián Arellana José L. Moura |
| author_sort | Rubén Cordera |
| collection | DOAJ |
| description | The possible future introduction of Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) raises questions about how they might affect the demand for transport and especially modal choice. In this research, a stated preference (SP) survey and a modelling process using Mixed Logit are proposed to simulate the future market share of AVs/SAVs and how their introduction into the system could change the modal choice, especially in relation to active and public transport modes. An efficient SP survey design has been developed based on the state-of-the-art information and carried out in 2020 among citizens of two medium-sized Southern European cities within a car-intensive region. The design considered different trip purposes (compulsory, leisure), different trip distances, and attributes not taken into account before, such as comfort and the physical characteristics of the terrain for the active modes. The model results suggest that AVs and SAVs were the preferred transport modes for most respondents, accounting for more than 58% of the market share in the scenarios presented. Also, we detected some socioeconomic differences in the propensity to use this mode of transport showing that men living in high-income households and car users were more prone to use autonomous alternatives. The models allowed us to simulate different scenarios, such as experiencing higher costs for using the AV alternative. Policies imposing a higher cost for the AV alternative but lower costs and waiting times for the SAV and public transport alternatives could decrease the AV’s market share favouring more sustainable modes. The above scenario showed that achieving a more sustainable future mobility system considering AVs requires an in-depth transport demand knowledge and adequate transport policies. |
| format | Article |
| id | doaj-art-f97828c64d924840b15efe5c20c205f4 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-f97828c64d924840b15efe5c20c205f42025-02-03T01:07:57ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1108272Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference SurveyRubén Cordera0Esther González-González1Soledad Nogués2Julián Arellana3José L. Moura4Department of Transport and Projects and Processes TechnologyDepartment of Transport and Projects and Processes TechnologyDepartment of Transport and Projects and Processes TechnologyDepartment of Civil and Environmental EngineeringDepartment of Transport and Projects and Processes TechnologyThe possible future introduction of Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) raises questions about how they might affect the demand for transport and especially modal choice. In this research, a stated preference (SP) survey and a modelling process using Mixed Logit are proposed to simulate the future market share of AVs/SAVs and how their introduction into the system could change the modal choice, especially in relation to active and public transport modes. An efficient SP survey design has been developed based on the state-of-the-art information and carried out in 2020 among citizens of two medium-sized Southern European cities within a car-intensive region. The design considered different trip purposes (compulsory, leisure), different trip distances, and attributes not taken into account before, such as comfort and the physical characteristics of the terrain for the active modes. The model results suggest that AVs and SAVs were the preferred transport modes for most respondents, accounting for more than 58% of the market share in the scenarios presented. Also, we detected some socioeconomic differences in the propensity to use this mode of transport showing that men living in high-income households and car users were more prone to use autonomous alternatives. The models allowed us to simulate different scenarios, such as experiencing higher costs for using the AV alternative. Policies imposing a higher cost for the AV alternative but lower costs and waiting times for the SAV and public transport alternatives could decrease the AV’s market share favouring more sustainable modes. The above scenario showed that achieving a more sustainable future mobility system considering AVs requires an in-depth transport demand knowledge and adequate transport policies.http://dx.doi.org/10.1155/2022/1108272 |
| spellingShingle | Rubén Cordera Esther González-González Soledad Nogués Julián Arellana José L. Moura Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey Journal of Advanced Transportation |
| title | Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey |
| title_full | Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey |
| title_fullStr | Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey |
| title_full_unstemmed | Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey |
| title_short | Modal Choice for the Driverless City: Scenario Simulation Based on a Stated Preference Survey |
| title_sort | modal choice for the driverless city scenario simulation based on a stated preference survey |
| url | http://dx.doi.org/10.1155/2022/1108272 |
| work_keys_str_mv | AT rubencordera modalchoiceforthedriverlesscityscenariosimulationbasedonastatedpreferencesurvey AT esthergonzalezgonzalez modalchoiceforthedriverlesscityscenariosimulationbasedonastatedpreferencesurvey AT soledadnogues modalchoiceforthedriverlesscityscenariosimulationbasedonastatedpreferencesurvey AT julianarellana modalchoiceforthedriverlesscityscenariosimulationbasedonastatedpreferencesurvey AT joselmoura modalchoiceforthedriverlesscityscenariosimulationbasedonastatedpreferencesurvey |