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 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 Comparative Analysis of the Characteristics of High-Speed Railway Network in China’s Metropolitan Areas

2017 ◽  
Vol 4 (4) ◽  
pp. 318
Author(s):  
Qingmu Su ◽  
Hsueh-Sheng Chang
Keyword(s):  
Comparative Analysis ◽  
Metropolitan Area ◽  
Yangtze River ◽  
High Speed ◽  
Metropolitan Areas ◽  
Yangtze River Delta ◽  
Beibu Gulf ◽  
The Yangtze River ◽  
High Speed Rail ◽  
Rail Network

<em>The role of high-speed rail network in the metropolitan areas is becoming more and more important, which has become one of the main ways of the city personnel contacts. This paper mainly uses the social network analysis method to revamp the six national metropolitan areas: metropolitan area of the middle reaches of the Yangtze River, metropolitan area of Hachang, metropolitan area of Chengyu, metropolitan area of Yangtze River Delta, metropolitan area of Zhongyuan, metropolitan area of Beibu Gulf make a comparative analysis. The macroscopic and microscopic angles are used to calculate and compare the overall network characteristics, centrality, core-periphery structure and cohesion subgroups. It is mainly due to the fact that the high-speed rail network structure of the six major metropolitan areas needs to be improved. Metropolitan area of the middle reaches of the Yangtze River and metropolitan area of Zhongyuan are relatively good the integrity and the connectivity. Metropolitan area of Yangtze River Delta is the highest utilization rate of resources. Metropolitan area of Hachang is the highest network density. Metropolitan area of Chengyu is outstanding between core and periphery. Metropolitan area of Beibu Gulf network of organizations is broken. Therefore, when layout of high-speed rail infrastructure, we should consider the high-speed rail network resource utilization, balance high-speed rail traffic within the metropolitan areas, thus enhancing the city’s high-speed rail accessibility and convenience.</em>

scholarly journals Sustainability Development of High-Speed Rail and Airline—Understanding Passengers’ Preferences：A Case Study of the Beijing–Shanghai Corridor

2019 ◽  
Vol 11 (5) ◽  
pp. 1352 ◽  
Author(s):  
Min Su ◽  
Weixin Luan ◽  
Liuyan Yuan ◽  
Rui Zhang ◽  
Zhenchao Zhang
Keyword(s):  
High Speed ◽  
Choice Behavior ◽  
Policy Design ◽  
Mode Choice ◽  
Air Transport ◽  
Access Time ◽  
High Speed Rail ◽  
The Sustainable Development ◽  
Rapid Construction ◽  
Study Results

With the rapid construction of high-speed railways (HSR), the supply structure of the transportation modes in China has changed greatly. In order to seek the sustainable development of HSR and air transport from the perspective of passenger mode choice behavior, this paper applied a binary logit model to explore the mode choice patterns in the Beijing–Shanghai corridor, which has the most successfully operated HSR line in China. By using the data collected in airports and HSR stations in the two cities, passenger flow composition and passenger mode choice behavior was analyzed. It was found that passengers’ preference for air transport decreases with the accompanying number of passengers and access time, and increases with income; female passengers and younger passengers have a higher probability of choosing air transport, ceteris paribus; and leisure passengers are more price-sensitive, they tend to travel by air transport when the air transport prices are lower. The study results reveal the travel characteristics of passengers between Beijing–Shanghai and provide information for policy design and infrastructure management.

scholarly journals The Impacts of High-Speed Rail on Regional Accessibility and Spatial Development—Updated Evidence from China’s Mid-Yangtze River City-Cluster Region

2021 ◽  
Vol 13 (8) ◽  
pp. 4227
Author(s):  
Liwen Liu ◽  
Ming Zhang
Keyword(s):  
Travel Time ◽  
Yangtze River ◽  
High Speed ◽  
Spatial Development ◽  
Spatial Inequality ◽  
County Level ◽  
High Speed Rail ◽  
Cluster Region ◽  
River City ◽  
City Cluster

There has been long and ongoing interest in the impacts of high-speed rail (HSR) on regional spatial development. Most existing studies, however, reported findings at relatively coarse geographic scales, i.e., at the prefecture-city or above level in the Chinese context. This paper presents the empirical evidence of HSR impacts from the county-level cities in China’s Mid-Yangtze River City-Cluster Region (MYRCCR). The study utilized rail time data and the socio-economic data for MYRCCR’s 185 county-level cities in the years of 2006 (without HSR) and 2014 (with HSR) and analyzed the impacts of HSR on inter-city travel times, accessibility, spatial inequality, and regional economic linkages among the MYRCCR cities. The results show that, from 2006 to 2014, HSR reduced city-to-city average travel time by 34.5% or 124 min and improved accessibility to all cities in the MYRCCR. HSR’s impacts on accessibility and spatial equality exhibited a scale-differentiated pattern. MYRCCR-wide, HSR transformed a pattern of spatial polarization towards the one of corridorization. Cities located on major HSR corridors became more balanced in 2014 than in 2006. Nevertheless, at the county-city level, the gap between cities with the most and the least accessibility gains was much greater than the gap between those with the largest and the smallest travel time savings. Attributable to HSR services, the intensity of economic linkage increased between MYRCCR cities, especially between the provincial capital cities and those on the major lines of the national HSR grid, which implies an emerging process towards territorial cohesion in MYRCCR. National, provincial, and local governments should consider transportation as well as non-transportation policies and measures to direct HSR impacts towards further enhanced spatial development and regional equality.

Inter-city transport infrastructure and intra-city housing markets: Estimating the redistribution effect of high-speed rail in Shenzhen, China

Urban Studies ◽  
2021 ◽  
pp. 004209802110178 ◽  
Author(s):  
Zheng Chang ◽  
Mi Diao
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Local Effect ◽  
Transport Infrastructure ◽  
Network Effect ◽  
Housing Values ◽  
High Speed Rail ◽  
The City ◽  
Redistribution Effect ◽  
Metro Network

This study analyses the changes in intra-city housing values in response to improved inter-city connection brought by high-speed rail (HSR), using the opening of the Hangzhou–Fuzhou–Shenzhen Passenger Dedicated Line (HFSL) in Shenzhen, China, as an example. The opening of the HFSL and its integration into the local metro network at Shenzhen North Station provide exogenous intra-city variations in access to the surrounding economic mass. With a difference-in-differences approach, we find that the HFSL showed a negative local effect as housing values declined by 11.5%–13.3% in the proximity of Shenzhen North Station relative to areas further from the station after the opening, possibly due to the negative externalities of the HFSL. The HFSL effect can spread along the metro network and lead to, on average, a 7% appreciation of housing values around metro stations (network effect). The direction and strength of the network effect vary by metro travel time between Shenzhen North Station and metro stations. Housing values decreased by 7.7% around metro stations within 5–15 minutes of metro travel time but increased by 63.6%, 16.6% and 29.2% around metro stations within 15–25, 25–35 and 35–45 minutes of metro travel time to Shenzhen North Station, respectively. The HFSL effect on housing values diminishes when the rail travel time is above 45 minutes. We interpret these findings as evidence of the redistribution effect in the city related to HSR connection.

Emerging Challenges and Opportunities for U.S. High-Speed Rail Development

2016 ◽  
pp. 81-123
Author(s):  
Francis P. Banko ◽  
Jackson H. Xue
Keyword(s):  
Best Practices ◽  
High Speed ◽  
Task Force ◽  
Lessons Learned ◽  
Rail Transportation ◽  
High Speed Rail ◽  
International Experiences ◽  
Challenges And Opportunities ◽  
Tier I

As we witness the advancement of U.S. high-speed rail initiatives, the country can look towards its European and Asian counterparts for best practices and lessons learned from their decades of high-speed rail design and operations. These experiences gained may be applicable towards projects such as the Texas Central Railway and the California High-Speed Rail Project. This chapter will address the events of 2009 that have brought domestic high-speed rail to the forefront of U.S. rail transportation. This includes the new FRA Tier I and proposed Tier III criteria, challenges associated with each FRA tier of operation, overseas interoperability efforts, snapshots of international experiences (from policy and technological perspectives), the holistic system-based approach to safety, ongoing efforts of the FRA Engineering Task Force, and additional challenges and opportunities moving forward.

scholarly journals Combinatorial Optimization of Service Order and Overtaking for Demand-Oriented Timetabling in a Single Railway Line

2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Dewei Li ◽  
Shishun Ding ◽  
Yizhen Wang
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Cost Benefit ◽  
Theory And Practice ◽  
Mixed Integer ◽  
High Speed Rail ◽  
Railway Line ◽  
Integer Quadratic Programming ◽  
Total Travel Time ◽  
Mixed Integer Quadratic Programming

Train timetabling is crucial for passenger railway operation. Demand-oriented train timetable optimization by minimizing travel time plays an important role in both theory and practice. Most of the current researches of demand-oriented timetable models assume an idealized situation in which the service order is fixed and in which zero overtaking exists between trains. In order to extend the literature, this paper discusses the combinatorial effect of service order and overtaking by developing four mixed-integer quadratic programming timetabling models with different service order as well as overtaking conditions. With the objective of minimizing passengers’ waiting time and in-vehicle time, the models take five aspects as constraints, namely dwell time, running time, safety interval, overtaking, and capacity. All four models are solved by ILOG CPLEX; and the results, which are based on Shanghai-Hangzhou intercity high-speed rail data, show that either allowing overtaking or changing service order can effectively optimize the quality of timetable with respect to reducing the total passengers’ travel time. Although optimizing train overtaking and service order simultaneously can optimize the timetable more significantly, compared to overtaking, allowing the change of service order can help passengers save total travel time without extending the train travel time. Moreover, considering the computation effort, satisfying both of the conditions in the meantime, when optimizing timetable has not got a good cost benefit.

scholarly journals Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dingjun Chen ◽  
Sihan Li ◽  
Junjie Li ◽  
Shaoquan Ni ◽  
Xiaolong Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Travel Time ◽  
High Speed ◽  
Optimization Techniques ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Running Time ◽  
Total Travel Time ◽  
Timetable Optimization

Timetable optimization techniques offer opportunity for saving energy and hence reducing operational costs for high-speed rail services. The existing energy-saving timetable optimization is mainly concentrated on the train running state adjustment and the running time redistribution between two stations. Not only the adjustment space of timetables is limited, but also it is hard for the train to reach the optimized running state in reality, and it is difficult to get feasible timetable with running time redistribution between two stations for energy-saving. This paper presents a high-speed railway energy-saving timetable based on stop schedule optimization. Under the constraints of safety interval and stop rate, with the objective of minimizing the increasing energy consumption of train stops and the shortest travel time of trains, the high-speed railway energy-saving timetable optimization model is established. The fuzzy mathematics programming method is used to design an efficient algorithm. The proposed model and algorithm are demonstrated in the actual operation data of Beijing-Shanghai high-speed railway. The results show that the total operating energy consumption of the train is reduced by 3.7%, and the total travel time of the train is reduced by 11 minutes.

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