scholarly journals Latest Urban Rail Demand Forecast Model System in the Tokyo Metropolitan Area

2017 ◽  
Vol 2668 (1) ◽  
pp. 60-77 ◽  
Author(s):  
Hironori Kato ◽  
Daisuke Fukuda ◽  
Yoshihisa Yamashita ◽  
Seiji Iwakura ◽  
Tetsuo Yai
Keyword(s):  
Metropolitan Area ◽  
High Speed ◽  
Travel Demand ◽  
Route Choice ◽  
Investment Strategy ◽  
Model System ◽  
High Speed Rail ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Urban Rail

A model system to forecast urban rail travel demand technically supported the formulation of the Tokyo Urban Rail Development Master Plan for 2016. The model system was included in the forthcoming 15-year urban rail investment strategy for Tokyo and was used to make a quantitative assessment of urban rail projects, including 24 new rail development projects that had been proposed in response to expected changes in sociodemographic patterns, land use markets, and the government’s latest transportation policy goals. The system covered the entire urban rail network within the Tokyo metropolitan area, with approximately a 50-km radius and a population of more than 34 million. The system would have to have handled more than 80 million trips per day. Three demand models were used to predict daily rail passenger link flows: urban rail, airport rail access, and high-speed rail access. These practical models had unique characteristics, such as incorporating differences in behavior between older and younger travelers, reflecting expected influences of urban redevelopment on trip generation and distribution, highlighting urban rail access to airports or high-speed-rail stations, examining effects of in-vehicle crowding on rail route choice, and deploying mode choice models for urban rail station access–egress for rail route choice. The authors concluded that the model system would be well calibrated with observed data for reproducing travel patterns, identifying potential problems, assessing proposed projects, presenting results with high accuracy, and assisting decision making of urban rail planners.

scholarly journals A Comparison into the Factors Affecting Urban Rail Systems: Local, Express, and High-Speed Rail in Tunnels at a Great Depth in a Metropolitan Area

2021 ◽  
Vol 13 (17) ◽  
pp. 9527
Author(s):  
Kyujin Lee ◽  
Woojin Kim ◽  
Junghan Baek ◽  
Junghwa Kim
Keyword(s):  
Travel Time ◽  
Metropolitan Area ◽  
High Speed ◽  
Choice Behavior ◽  
Metropolitan Areas ◽  
Great Depth ◽  
Access Time ◽  
Rail Transportation ◽  
High Speed Rail ◽  
Urban Rail

In this study, the factors influencing the choice of the type of urban railroad transportation in the metropolitan areas of Korea were analyzed. As the populations of metropolitan areas are expanding, the importance of rail transportation, which has a high travel reliability in terms of travel time, has increased, and various types of railroad systems have emerged accordingly. This study was focused on the choice behavior of travelers on local and express trains that use the same track and differ only in the number of stations and operating times. To compare the choice behavior of travelers between local and express trains, factors such as the waiting time on the platform and the in-car travel time were considered. We also investigated the system choice behavior for an existing express subway and high-speed rail trains in tunnels at a great depth in terms of horizontal access time (walking), vertical access time, in-vehicle travel time, and travel fare. For a high-speed rail built underground at a great depth of 50 m, the stated preference survey was designed, and data were collected in consideration of the Great Train Express being promoted in the Seoul metropolitan area by the Korean government. The results of this study are expected to be considered important data for improving the rail system design from the user’s perspective to increase the demand for urban rail transportation in metropolitan areas.

scholarly journals Route Choice Analysis in the Tokyo Metropolitan Area Using a Link-based Recursive Logit Model Featuring Link Awareness

2018 ◽  
Vol 34 ◽  
pp. 251-258 ◽  
Author(s):  
Noriko Kaneko ◽  
Hideki Oka ◽  
Makoto Chikaraishi ◽  
Henrik Becker ◽  
Daisuke Fukuda
Keyword(s):  
Metropolitan Area ◽  
Logit Model ◽  
Route Choice ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Choice Analysis

scholarly journals Benchmark of the Trends of Spatial Inequality in World Megaregions

2021 ◽  
Vol 13 (11) ◽  
pp. 6456
Author(s):  
Ziqi Liu ◽  
Ming Zhang ◽  
Liwen Liu
Keyword(s):  
United States ◽  
High Speed ◽  
Investment Strategy ◽  
The United States ◽  
Spatial Inequality ◽  
Theil Index ◽  
High Speed Rail ◽  
International Learning ◽  
Regional Product ◽  
Index Measure

There have been growing concerns around the world over the rising spatial inequality (SI) amid fast and vast globalization. This paper presents an effort to benchmark the conditions and trends of spatial inequality in 37 megaregions in the United States, Europe, and China. Furthermore, the study selected three megaregion examples and analyzed the effect of developing high-speed rail (HSR) as an infrastructure investment strategy on reshaping the spatial pattern of job accessibility. The study measures spatial inequality with the Theil index of gross regional product and with the rank-size coefficient of polycentricity. Results show that spatial inequality exists and varies in magnitude within and between megaregions. On average, Chinese megaregions exhibited the level of spatial inequality about two times or more of those in the U.S. and European megaregions. The decade between 2006 and 2016 saw a decrease in the Theil index measure of megaregional inequality in China, but a slight increase in the United States and Europe. Fast growing megaregions exhibit high levels and rising trends of spatial inequality regardless of the country or continent setting. HSR helps improve mobility and accessibility; yet the extent to which HSR reduces spatial inequality is context dependent. This study presents a first attempt to assess and compare the spatial inequality conditions and trajectories in world megaregions aiming at promoting international learning.

scholarly journals BROADBAND STRONG MOTION SIMULATION OF THE GREAT 1923 KANTO EARTHQUAKE IN THE TOKYO METROPOLITAN AREA

2007 ◽  
Vol 13 (26) ◽  
pp. 447-450 ◽  
Author(s):  
Shinichi MATSUSHIMA ◽  
Motofumi WATANABE ◽  
Kazuo DAN ◽  
Toshiaki SATO ◽  
Jun'ichi MIYAKOSHI
Keyword(s):  
Metropolitan Area ◽  
Strong Motion ◽  
Motion Simulation ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Kanto Earthquake ◽  
Strong Motion Simulation

Urbanization of the Tokyo metropolitan area and its thermal condition using LANDSAT MSS and NOAA-6/AVHRR data

1983 ◽  
Vol 2 (8) ◽  
pp. 179-182
Author(s):  
T. Sakai ◽  
K. Seya ◽  
H. Nishikawa ◽  
M. Tsubomatsu ◽  
S. Tanaka ◽  
...  
Keyword(s):  
Metropolitan Area ◽  
Thermal Condition ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Avhrr Data
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