Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective Article Swipe
Md Tawhidur Rahman
,
Kakan Dey
,
David Martinelli
,
Sabyasachee Mishra
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/itr2.12060
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/itr2.12060
Matching riders and drivers in ridesharing considering conflicting objectives of diverse stakeholders is challenging. The objective of this research is to formulate and evaluate the performance of four ridesharing matching‐objectives (i.e. system‐wide minimisation of passengers’ wait time, minimisation of VMT, minimisation of detour distance, maximisation of drivers’ profit) considering interests of diverse mobility stakeholders (i.e. drivers, riders, matching agencies, government transportation agencies). A grid roadway network was used to compare the performance of the four matching‐objectives in serving a ridesharing demand scenario. Performance comparison of matching‐objectives revealed that a system‐wide VMT minimisation matching‐objective performed best with least sacrifices on the other three matching‐objectives from their respective best performance level. Also, system‐wide VMT minimisation was the best matching‐objective, when drivers’ and government transportation agencies’ expectations were prioritised. System‐wide drivers’ profit maximisation matching‐objective provided the highest monetary incentives for drivers and riders in terms of maximising profit and travel cost savings, respectively. System‐wide minimisation of detour distance was found to be least flexible in providing shared rides. The findings of this research provide useful insights on ridesharing matching system modelling and performance evaluation based on different matching‐objectives and can be used in developing and implementing ridesharing service considering multiple stakeholders’ concerns.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/itr2.12060
- OA Status
- gold
- Cited By
- 1
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2977423421
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2977423421Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/itr2.12060Digital Object Identifier
- Title
-
Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspectiveWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-31Full publication date if available
- Authors
-
Md Tawhidur Rahman, Kakan Dey, David Martinelli, Sabyasachee MishraList of authors in order
- Landing page
-
https://doi.org/10.1049/itr2.12060Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1049/itr2.12060Direct OA link when available
- Concepts
-
Perspective (graphical), Matching (statistics), Computer science, Transport engineering, Engineering, Artificial intelligence, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2977423421 |
|---|---|
| doi | https://doi.org/10.1049/itr2.12060 |
| ids.doi | https://doi.org/10.1049/itr2.12060 |
| ids.mag | 2977423421 |
| ids.openalex | https://openalex.org/W2977423421 |
| fwci | 0.09988165 |
| type | article |
| title | Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective |
| biblio.issue | 6 |
| biblio.volume | 15 |
| biblio.last_page | 794 |
| biblio.first_page | 781 |
| topics[0].id | https://openalex.org/T11942 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2203 |
| topics[0].subfield.display_name | Automotive Engineering |
| topics[0].display_name | Transportation and Mobility Innovations |
| topics[1].id | https://openalex.org/T12392 |
| topics[1].field.id | https://openalex.org/fields/14 |
| topics[1].field.display_name | Business, Management and Accounting |
| topics[1].score | 0.9976999759674072 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1406 |
| topics[1].subfield.display_name | Marketing |
| topics[1].display_name | Sharing Economy and Platforms |
| topics[2].id | https://openalex.org/T10768 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9915000200271606 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Electric Vehicles and Infrastructure |
| funders[0].id | https://openalex.org/F4320311274 |
| funders[0].ror | https://ror.org/011vxgd24 |
| funders[0].display_name | West Virginia University |
| is_xpac | False |
| apc_list.value | 2000 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2200 |
| apc_paid.value | 2000 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2200 |
| concepts[0].id | https://openalex.org/C12713177 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7368413209915161 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1900281 |
| concepts[0].display_name | Perspective (graphical) |
| concepts[1].id | https://openalex.org/C165064840 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6413012742996216 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1321061 |
| concepts[1].display_name | Matching (statistics) |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.4856959283351898 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C22212356 |
| concepts[3].level | 1 |
| concepts[3].score | 0.41666683554649353 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q775325 |
| concepts[3].display_name | Transport engineering |
| concepts[4].id | https://openalex.org/C127413603 |
| concepts[4].level | 0 |
| concepts[4].score | 0.272085964679718 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[4].display_name | Engineering |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.224254310131073 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C33923547 |
| concepts[6].level | 0 |
| concepts[6].score | 0.08916518092155457 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[6].display_name | Mathematics |
| concepts[7].id | https://openalex.org/C105795698 |
| concepts[7].level | 1 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[7].display_name | Statistics |
| keywords[0].id | https://openalex.org/keywords/perspective |
| keywords[0].score | 0.7368413209915161 |
| keywords[0].display_name | Perspective (graphical) |
| keywords[1].id | https://openalex.org/keywords/matching |
| keywords[1].score | 0.6413012742996216 |
| keywords[1].display_name | Matching (statistics) |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.4856959283351898 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/transport-engineering |
| keywords[3].score | 0.41666683554649353 |
| keywords[3].display_name | Transport engineering |
| keywords[4].id | https://openalex.org/keywords/engineering |
| keywords[4].score | 0.272085964679718 |
| keywords[4].display_name | Engineering |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.224254310131073 |
| keywords[5].display_name | Artificial intelligence |
| keywords[6].id | https://openalex.org/keywords/mathematics |
| keywords[6].score | 0.08916518092155457 |
| keywords[6].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1049/itr2.12060 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S155689059 |
| locations[0].source.issn | 1751-956X, 1751-9578 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1751-956X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IET Intelligent Transport Systems |
| locations[0].source.host_organization | https://openalex.org/P4310311714 |
| locations[0].source.host_organization_name | Institution of Engineering and Technology |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311714 |
| locations[0].source.host_organization_lineage_names | Institution of Engineering and Technology |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IET Intelligent Transport Systems |
| locations[0].landing_page_url | https://doi.org/10.1049/itr2.12060 |
| locations[1].id | pmh:oai:doaj.org/article:c06d71e435214535be896076ca148359 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | cc-by-sa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | IET Intelligent Transport Systems, Vol 15, Iss 6, Pp 781-794 (2021) |
| locations[1].landing_page_url | https://doaj.org/article/c06d71e435214535be896076ca148359 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5061665496 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4531-712X |
| authorships[0].author.display_name | Md Tawhidur Rahman |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I12097938 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Civil and Environmental Engineering, West Virginia University, G68 Engineering Science Building, 1374 Evansdale Drive, Morgantown, West Virginia, USA |
| authorships[0].institutions[0].id | https://openalex.org/I12097938 |
| authorships[0].institutions[0].ror | https://ror.org/011vxgd24 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I12097938 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | West Virginia University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Md Tawhidur Rahman |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Civil and Environmental Engineering, West Virginia University, G68 Engineering Science Building, 1374 Evansdale Drive, Morgantown, West Virginia, USA |
| authorships[1].author.id | https://openalex.org/A5079785606 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5875-6180 |
| authorships[1].author.display_name | Kakan Dey |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I12097938 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Civil and Environmental Engineering, West Virginia University, G68 Engineering Science Building, 1374 Evansdale Drive, Morgantown, West Virginia, USA |
| authorships[1].institutions[0].id | https://openalex.org/I12097938 |
| authorships[1].institutions[0].ror | https://ror.org/011vxgd24 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I12097938 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | West Virginia University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Kakan Dey |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Department of Civil and Environmental Engineering, West Virginia University, G68 Engineering Science Building, 1374 Evansdale Drive, Morgantown, West Virginia, USA |
| authorships[2].author.id | https://openalex.org/A5102129057 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | David Martinelli |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I12097938 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Civil and Environmental Engineering, West Virginia University, G68 Engineering Science Building, 1374 Evansdale Drive, Morgantown, West Virginia, USA |
| authorships[2].institutions[0].id | https://openalex.org/I12097938 |
| authorships[2].institutions[0].ror | https://ror.org/011vxgd24 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I12097938 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | West Virginia University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | David R. Martinelli |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Civil and Environmental Engineering, West Virginia University, G68 Engineering Science Building, 1374 Evansdale Drive, Morgantown, West Virginia, USA |
| authorships[3].author.id | https://openalex.org/A5078619901 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7198-3548 |
| authorships[3].author.display_name | Sabyasachee Mishra |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I94658018 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Civil Engineering, The University of Memphis, 104 Engineering Science Building, Memphis, Tennessee, USA |
| authorships[3].institutions[0].id | https://openalex.org/I94658018 |
| authorships[3].institutions[0].ror | https://ror.org/01cq23130 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I94658018 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of Memphis |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Sabya Mishra |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Civil Engineering, The University of Memphis, 104 Engineering Science Building, Memphis, Tennessee, USA |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1049/itr2.12060 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11942 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2203 |
| primary_topic.subfield.display_name | Automotive Engineering |
| primary_topic.display_name | Transportation and Mobility Innovations |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2018871932, https://openalex.org/W2001405890 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1049/itr2.12060 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S155689059 |
| best_oa_location.source.issn | 1751-956X, 1751-9578 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1751-956X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IET Intelligent Transport Systems |
| best_oa_location.source.host_organization | https://openalex.org/P4310311714 |
| best_oa_location.source.host_organization_name | Institution of Engineering and Technology |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311714 |
| best_oa_location.source.host_organization_lineage_names | Institution of Engineering and Technology |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IET Intelligent Transport Systems |
| best_oa_location.landing_page_url | https://doi.org/10.1049/itr2.12060 |
| primary_location.id | doi:10.1049/itr2.12060 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S155689059 |
| primary_location.source.issn | 1751-956X, 1751-9578 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1751-956X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IET Intelligent Transport Systems |
| primary_location.source.host_organization | https://openalex.org/P4310311714 |
| primary_location.source.host_organization_name | Institution of Engineering and Technology |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311714 |
| primary_location.source.host_organization_lineage_names | Institution of Engineering and Technology |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IET Intelligent Transport Systems |
| primary_location.landing_page_url | https://doi.org/10.1049/itr2.12060 |
| publication_date | 2021-03-31 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W1969520138, https://openalex.org/W2047501236, https://openalex.org/W2023274209, https://openalex.org/W2779699899, https://openalex.org/W2914936864, https://openalex.org/W3084274445, https://openalex.org/W2087415609, https://openalex.org/W2121269804, https://openalex.org/W2011758456, https://openalex.org/W4242099633, https://openalex.org/W2963163240, https://openalex.org/W3031670610, https://openalex.org/W3125549756, https://openalex.org/W3034703225, https://openalex.org/W3009734645, https://openalex.org/W2597251875, https://openalex.org/W2799283663, https://openalex.org/W2000819368, https://openalex.org/W1976993400, https://openalex.org/W3111625572, https://openalex.org/W2108695385, https://openalex.org/W2784201925, https://openalex.org/W1766637835, https://openalex.org/W3103513222 |
| referenced_works_count | 24 |
| abstract_inverted_index.A | 63 |
| abstract_inverted_index.a | 79, 89 |
| abstract_inverted_index.be | 159, 188 |
| abstract_inverted_index.in | 5, 77, 141, 162, 190 |
| abstract_inverted_index.is | 13, 20 |
| abstract_inverted_index.of | 10, 17, 27, 34, 39, 42, 46, 51, 73, 85, 143, 153, 168 |
| abstract_inverted_index.on | 99, 174, 183 |
| abstract_inverted_index.to | 21, 69, 158 |
| abstract_inverted_index.The | 15, 166 |
| abstract_inverted_index.VMT | 91, 112 |
| abstract_inverted_index.and | 3, 23, 120, 139, 146, 179, 186, 192 |
| abstract_inverted_index.can | 187 |
| abstract_inverted_index.for | 137 |
| abstract_inverted_index.the | 25, 71, 74, 100, 115, 133 |
| abstract_inverted_index.was | 67, 114, 156 |
| abstract_inverted_index.VMT, | 40 |
| abstract_inverted_index.best | 95, 107, 116 |
| abstract_inverted_index.cost | 148 |
| abstract_inverted_index.four | 28, 75 |
| abstract_inverted_index.from | 104 |
| abstract_inverted_index.grid | 64 |
| abstract_inverted_index.that | 88 |
| abstract_inverted_index.this | 18, 169 |
| abstract_inverted_index.used | 68, 189 |
| abstract_inverted_index.wait | 36 |
| abstract_inverted_index.were | 125 |
| abstract_inverted_index.when | 118 |
| abstract_inverted_index.with | 96 |
| abstract_inverted_index.(i.e. | 31, 55 |
| abstract_inverted_index.Also, | 110 |
| abstract_inverted_index.based | 182 |
| abstract_inverted_index.found | 157 |
| abstract_inverted_index.least | 97, 160 |
| abstract_inverted_index.other | 101 |
| abstract_inverted_index.terms | 142 |
| abstract_inverted_index.their | 105 |
| abstract_inverted_index.three | 102 |
| abstract_inverted_index.time, | 37 |
| abstract_inverted_index.demand | 81 |
| abstract_inverted_index.detour | 43, 154 |
| abstract_inverted_index.level. | 109 |
| abstract_inverted_index.profit | 129, 145 |
| abstract_inverted_index.riders | 2, 140 |
| abstract_inverted_index.rides. | 165 |
| abstract_inverted_index.shared | 164 |
| abstract_inverted_index.system | 177 |
| abstract_inverted_index.travel | 147 |
| abstract_inverted_index.useful | 172 |
| abstract_inverted_index.compare | 70 |
| abstract_inverted_index.diverse | 11, 52 |
| abstract_inverted_index.drivers | 4, 138 |
| abstract_inverted_index.highest | 134 |
| abstract_inverted_index.network | 66 |
| abstract_inverted_index.profit) | 48 |
| abstract_inverted_index.provide | 171 |
| abstract_inverted_index.riders, | 57 |
| abstract_inverted_index.roadway | 65 |
| abstract_inverted_index.service | 195 |
| abstract_inverted_index.serving | 78 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Matching | 1 |
| abstract_inverted_index.distance | 155 |
| abstract_inverted_index.drivers, | 56 |
| abstract_inverted_index.evaluate | 24 |
| abstract_inverted_index.findings | 167 |
| abstract_inverted_index.flexible | 161 |
| abstract_inverted_index.insights | 173 |
| abstract_inverted_index.matching | 58, 176 |
| abstract_inverted_index.mobility | 53 |
| abstract_inverted_index.monetary | 135 |
| abstract_inverted_index.multiple | 197 |
| abstract_inverted_index.provided | 132 |
| abstract_inverted_index.research | 19, 170 |
| abstract_inverted_index.revealed | 87 |
| abstract_inverted_index.savings, | 149 |
| abstract_inverted_index.agencies, | 59 |
| abstract_inverted_index.concerns. | 199 |
| abstract_inverted_index.different | 184 |
| abstract_inverted_index.distance, | 44 |
| abstract_inverted_index.formulate | 22 |
| abstract_inverted_index.interests | 50 |
| abstract_inverted_index.modelling | 178 |
| abstract_inverted_index.objective | 16 |
| abstract_inverted_index.performed | 94 |
| abstract_inverted_index.providing | 163 |
| abstract_inverted_index.scenario. | 82 |
| abstract_inverted_index.agencies). | 62 |
| abstract_inverted_index.comparison | 84 |
| abstract_inverted_index.developing | 191 |
| abstract_inverted_index.drivers’ | 47, 119, 128 |
| abstract_inverted_index.evaluation | 181 |
| abstract_inverted_index.government | 60, 121 |
| abstract_inverted_index.incentives | 136 |
| abstract_inverted_index.maximising | 144 |
| abstract_inverted_index.objectives | 9 |
| abstract_inverted_index.respective | 106 |
| abstract_inverted_index.sacrifices | 98 |
| abstract_inverted_index.Performance | 83 |
| abstract_inverted_index.agencies’ | 123 |
| abstract_inverted_index.conflicting | 8 |
| abstract_inverted_index.considering | 7, 49, 196 |
| abstract_inverted_index.performance | 26, 72, 108, 180 |
| abstract_inverted_index.ridesharing | 6, 29, 80, 175, 194 |
| abstract_inverted_index.challenging. | 14 |
| abstract_inverted_index.expectations | 124 |
| abstract_inverted_index.implementing | 193 |
| abstract_inverted_index.maximisation | 45, 130 |
| abstract_inverted_index.minimisation | 33, 38, 41, 92, 113, 152 |
| abstract_inverted_index.prioritised. | 126 |
| abstract_inverted_index.stakeholders | 12, 54 |
| abstract_inverted_index.System‐wide | 127, 151 |
| abstract_inverted_index.passengers’ | 35 |
| abstract_inverted_index.respectively. | 150 |
| abstract_inverted_index.system‐wide | 32, 90, 111 |
| abstract_inverted_index.transportation | 61, 122 |
| abstract_inverted_index.stakeholders’ | 198 |
| abstract_inverted_index.matching‐objective | 93, 131 |
| abstract_inverted_index.matching‐objective, | 117 |
| abstract_inverted_index.matching‐objectives | 30, 76, 86, 103, 185 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5079785606, https://openalex.org/A5061665496 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I12097938 |
| citation_normalized_percentile.value | 0.36134137 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |