Analyzing Ride-Hailing Services Utilization in Greater Melbourne: Influences of Service Area and Vehicle Capacity

Recent technological advancements have boosted ride-hailing services (RHS) to the forefront of urban transportation options, offering the potential to decrease private vehicle ownership by serving a larger population with fewer vehicles. However, their performance and service quality depend on the designated service areas and vehicle capacity limits. This study utilizes the agent-based model MATSim to analyze how service area and vehicle capacity variations affect RHS effectiveness in Greater Melbourne. Results from extensive simulations indicate that expanding service areas and increasing vehicle capacities significantly improve RHS accessibility and operational efficiency. This expansion leads to fewer vehicles on the road and reduced environmental impacts, with broader service areas serving more users and larger vehicle capacities decreasing per-trip travel distance. The study underscores the significance of integrating RHS within existing mobility systems and recommends zoning and fleet management policies for RHS as crucial tools for developing sustainable urban mobility.

Authors

Institutions

Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2025.06.111
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing Ride-Hailing Services Utilization in Greater Melbourne: Influences of Service Area and Vehicle Capacity

Sapan Tiwari
Transportation research procedia
Transportation and Mobility Innovations
article

Analyzing Ride-Hailing Services Utilization in Greater Melbourne: Influences of Service Area and Vehicle Capacity

Sapan Tiwari
article en

Abstract

Recent technological advancements have boosted ride-hailing services (RHS) to the forefront of urban transportation options, offering the potential to decrease private vehicle ownership by serving a larger population with fewer vehicles. However, their performance and service quality depend on the designated service areas and vehicle capacity limits. This study utilizes the agent-based model MATSim to analyze how service area and vehicle capacity variations affect RHS effectiveness in Greater Melbourne. Results from extensive simulations indicate that expanding service areas and increasing vehicle capacities significantly improve RHS accessibility and operational efficiency. This expansion leads to fewer vehicles on the road and reduced environmental impacts, with broader service areas serving more users and larger vehicle capacities decreasing per-trip travel distance. The study underscores the significance of integrating RHS within existing mobility systems and recommends zoning and fleet management policies for RHS as crucial tools for developing sustainable urban mobility.

Transportation research procediaVol. 90
The University of Melbourne (AU), MIT University (MK), RMIT University (AU)
Openalex Percentile: Top 85%
Transportation and Mobility Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analyzing Ride-Hailing Services Utilization in Greater Melbourne: Influences of Service Area and Vehicle Capacity — Sapan Tiwari · Transportation research procedia (2025) | TGRS Research Map | TGRS