Results 121 to 130 of about 4,818,509 (258)

Understanding the Spatial Variation of Integrated Use of Ride-Hailing Services With the Metro

Journal of Advanced Transportation
This study aims to explore the spatial heterogeneity of influential factors of integrated use of ride-hailing service with the metro. Using the operation data of ride-hailing services in Chengdu, China, first, an identification method of integrated ride ...
Mingyang Du, Zhicheng Li, Xuefeng Li, Jiacong Xu, Dong Liu, Mei-Po Kwan   +5 more
doaj   +1 more source

Customized Bus Stop Location Model Based on Dual Population Adaptive Immune Algorithm

Mathematics
Selecting optimal locations for customized bus stops is crucial for enhancing the adoption rate of customized bus services, reducing operational costs, and, consequently, mitigating traffic congestion.
Tengfei Yuan, Hongjie Liu, Yawen Wang, Fengrui Yang, Qinyue Gu, Yizeng Wang   +5 more
doaj   +1 more source

Measuring customer-perceived service quality in the ride-hailing industry: a generic approach for the development and validation of a multidimensional scale

Humanities & Social Sciences Communications
Service issues and limitations of generic measures (scales, instruments) necessitate well-developed customized measures to evaluate service quality.
Jin Li, Xiaomei Xu, Hui Xu, Yali Song
doaj   +1 more source

To grab or not to grab?: Passenger ride intention towards e-hailing services

, 2018
The introduction of e-hailing or ride-sharing services in Malaysia has revolutionized the personal transportation industry. However, early adopters were skeptical and unsure on acceptance of such services due to issues including lack of regulatory ...
Muhammad Muhaimin Fikri Bin Jin Azman
core  

Resilience of ride-hailing services in response to air pollution and its association with built-environment and socioeconomic characteristics

Air pollution, an unexpected event, poses a significant threat to public health and affects human mobility. Ride-hailing provides an effective way to understand how human mobility adapts to air pollution.
Liu, J, Lu, Y, Yang, L, Li, F, Cui, J, Peng, Y   +5 more
core   +1 more source

Enhancing prediction of ride-hailing fares using advanced deep learning techniques

New Trends in Computer Sciences
Fare prediction is a critical component of online ride-hailing services, as it significantly influences consumer decision-making and enhances operational efficiency for service providers.
Tuyet Ngoc Thi Huynh, Huu Dat Bui, Tuyet Nam Thi Nguyen, Tan Dat Trinh   +3 more
doaj   +1 more source

Dynamic optimization scheme driven by incentives in FHVs-enabled MEC systems

Journal of King Saud University: Computer and Information Sciences
In frequent traffic participation, For-Hire Vehicles (FHVs) can be effectively integrated into Mobile Edge Computing (MEC) systems, thus playing a critical role in urban emergencies when additional computing resources are required.
Jinlei Liu, Linbo Zhai, Ping Zhao, Dongsheng Wu, Jing Yan   +4 more
doaj   +1 more source

The Role of Social Influence and Security Risk in Shaping Intention to Use Ride-Hailing in West Papua: A Theory of Planned Behavior Perspective

Jurnal Sisfokom
This study explores the adoption of ride-hailing services in West Papua, a developing region in Indonesia, where concerns about service performance and security risks influence user decisions.
Dewi Aulia Nurhayati Maswatu, Dedi Iskandar Inan, Ratna Juita, Muhammad Indra   +3 more
doaj   +1 more source

Leveraging Eclipse MOSAIC for Modeling and Analyzing Ride-Hailing Services

CoRR
Ride-hailing services enjoy a large popularity in the sector of individualized mobility. Due to broad availability, ease of use, and competitive pricing strategies, these services have established themselves throughout the last decades. With the increased popularity, ride-hailing providers aimed to consistently improve the efficiency of their services,
Karl Schrab, Moritz Schweppenhäuser, Robert Protzmann, Kay Massow, Ilja Radusch   +4 more
openaire   +2 more sources

Application of Integrated Geospatial Analysis and Machine Learning in Identifying Factors Affecting Ride-Sharing Before/After the COVID-19 Pandemic

ISPRS International Journal of Geo-Information
Ride-pooling, as a sustainable mode of ride-hailing services, enables different riders to share a vehicle while traveling along similar routes. The COVID-19 pandemic led to the suspension of this service, but Transportation Network Companies (TNCs) such ...
Afshin Allahyari, Farideddin Peiravian
doaj   +1 more source