Results 31 to 40 of about 8,907 (220)

Smart Metro: Deep Learning Approaches to Forecasting the MRT Line 3 Ridership

International Journal of Computing Sciences Research, 2023
Since its establishment in 1999, the Metro Rail Transit Line 3 (MRT3) has served as a transportation option for numerous passengers in Metro Manila, Philippines. The Philippine government's transportation department records more than a thousand people using the MRT3 daily and forecasting the daily passenger count may be rather challenging.
Jayrald Empino, Jean Allyson Junsay, Mary Grace Verzon, Mideth Abisado, Shekinah Lor Huyo-a, Gabriel Avelino Sampedro   +5 more
openaire   +3 more sources

Forecasting the Short-Term Metro Ridership With Seasonal and Trend Decomposition Using Loess and LSTM Neural Networks

IEEE Access, 2020
Forecasting the short-term metro ridership is an important issue for operation management of metro systems. However, it cannot be solved well by the single long short-term memory (LSTM) neural network alone for the irregular fluctuation caused by various
Dewang Chen, Jianhua Zhang, Shixiong Jiang   +2 more
doaj   +1 more source

Forecasting of Short-Term Metro Ridership with Support Vector Machine Online Model

Journal of Advanced Transportation, 2018
Forecasting for short-term ridership is the foundation of metro operation and management. A prediction model is necessary to seize the weekly periodicity and nonlinearity characteristics of short-term ridership in real-time. First, this research captures
Xuemei Wang, Ning Zhang, Yunlong Zhang, Zhuangbin Shi   +3 more
doaj   +1 more source

Chapter 3 - Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships [PDF]

, 2019
Technology is changing the way we move and reshaping cities and society. Shared and on-demand mobility represent notable transportation shifts in the 21st century.
6t, American Public Transit Association, Berrebi, Bösch, Call a Bike, Campbell, Campbell, Cervero, Cervero, Cervero, Chen, Clewlow, Cohen, Dickey, Dobush, Etherington, Feigon, Firnkorn, Franco, Gehrke, Hampshire, Henao, Henao, Kim, Lane, Lazarus, Lazarus, Martin, Martin, Massachusetts Governor's Office, McFarland, NASA, National Association of City Transportation Officials, Olson, Rayle, SAE International, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Shaheen, Sochor, Yvkoff   +53 more
core   +1 more source

Spatial Heterogeneity of the Built Environment Effect on the Use of a Bikeshare-Metro Commute in a Metropolitan Area: A Case Study of Shenzhen

Redai dili, 2023
Recently, dockless bikeshare (DBS), a new bikeshare program that does not feature fixed dock stations, has been developed rapidly in China and has also offered a decent solution to the first- and last-mile problem. In addition, the integration of DBS and
Guo Yuanyuan, Wu Lei, Zeng Peng
doaj   +1 more source

Which Distance-Decay Function Can Improve the Goodness of Fit of the Metro Station Ridership Regression Model? A Case Study of Beijing

Buildings
Incorporating the distance-decay effects of facility points into the analysis of metro ridership helps generate more precise and actionable strategies for station area renewal.
Zhenbao Wang, Shihao Li, Yushuo Zhang
doaj   +1 more source

Changes in Transit Use and Service and Associated Changes in Driving Near a New Light Rail Transit Line, MTI Report 12-44 [PDF]

, 2015
Los Angeles is pursuing possibly the most ambitious rail transit investment program in the nation with plans to open six new rail transit lines between now and 2019.
Boarnet, Marlon, Houston, Doug, Nixon, Hilary, Spears, Steven   +3 more
core   +1 more source

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source

Public Transportation Syntheses Series: Fare, Free or Something in Between? [PDF]

, 2004
Lo digital ha cambiado nuestras vidas, nuestra rutina diaria, la forma de trabajar y las relaciones sociales. Es así, que en un donde lo digital lo aborda todo, donde nos podemos conectar desde cualquiera lugar del mundo, ¿es posible crear un espacio de ...
CUTR
core   +2 more sources

Robustness Assessment of Public Transport Networks in Various Graph Representations: Systematic Review, Decision Support, and Case Study

Networks, Volume 87, Issue 4, Page 343-371, June 2026.
ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk, Stefan Voß, Raka Jovanovic   +2 more
wiley   +1 more source