Dynamic ride sharing using traditional taxis and shared autonomous taxis: A case study of NYC

M Lokhandwala, H Cai - Transportation Research Part C: Emerging …, 2018 - Elsevier
This study analyzes the potential benefits and drawbacks of taxi sharing using agent-based
modeling. New York City (NYC) taxis are examined as a case study to evaluate the …

Mobility trace analysis for intelligent vehicular networks: Methods, models, and applications

C Celes, A Boukerche, AAF Loureiro - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Intelligent vehicular networks emerge as a promising technology to provide efficient data
communication in transportation systems and smart cities. At the same time, the …

Trajectory analysis for on-demand services: A survey focusing on spatial-temporal demand and supply patterns

S Wang, L Li, W Ma, X Chen - Transportation Research Part C: Emerging …, 2019 - Elsevier
With the development of information technique and wireless communication, a vast number
of taxis' and ride-sharing cars' trajectory data that provide a rich and detailed source to study …

Understanding bike sharing travel patterns: An analysis of trip data from eight cities

Z Kou, H Cai - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
As a new mobility option, bike sharing is gaining popularity around the world. Understanding
the travel patterns of bike sharing trips can provide fundamental basis for researchers to …

An optimization approach for the placement of bicycle-sharing stations to reduce short car trips: An application to the city of Seoul

C Park, SY Sohn - Transportation Research Part A: Policy and Practice, 2017 - Elsevier
Substantial motor vehicle exhaust, a primary cause of air pollution, is emitted on short car
trips of three miles or less. Bicycles have been considered an optimum means of completing …

Spatial–temporal travel pattern mining using massive taxi trajectory data

L Zheng, D Xia, X Zhao, L Tan, H Li, L Chen… - Physica A: Statistical …, 2018 - Elsevier
Deep understanding of residents' travel patterns would provide helpful insights into the
mechanisms of many socioeconomic phenomena. With the rapid development of location …

Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing

W Tu, P Santi, T Zhao, X He, Q Li, L Dong… - Applied Energy, 2019 - Elsevier
The acceptability, energy consumption, and environmental benefits of electric vehicles are
highly dependent on travel patterns. With increasing ride-hailing popularity in mega-cities …

Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data

D Xia, S Jiang, N Yang, Y Hu, Y Li, H Li… - Physica A: Statistical …, 2021 - Elsevier
Mobile trajectory big data, such as global positioning system (GPS) trajectories of taxicabs,
have enormous social and economic values in intelligent transportation systems, and …

Exploring urban taxi ridership and local associated factors using GPS data and geographically weighted regression

B Li, Z Cai, L Jiang, S Su, X Huang - Cities, 2019 - Elsevier
Taxi is a core component of urban transit systems. Since they can provide more time-saving
and convenient service than many other transit options, taxis have a certain passenger …

集成多源地理大数据感知城市空间分异格局

刘瑜, 詹朝晖, 朱递, 柴彦威, 马修军… - 武汉大学学报(信息科学版), 2018 - ch.whu.edu.cn
多源地理大数据为地理现象的分布格局, 相互作用及动态演化提供了前所未有的社会感知手段.
城市是人类活动最为集中的区域, 产生了多种地理大数据, 并支持对于城市空间的理解 …