Bus Timetable Design to Ensure Smooth Transfers in Areas with Low-Frequency Public Transportation Services

2020 ◽  
Vol 54 (5) ◽  
pp. 1238-1250
Author(s):  
Mizuyo Takamatsu ◽  
Azuma Taguchi
Keyword(s):  
Waiting Time ◽  
Real World ◽  
Public Transportation ◽  
Rapid Growth ◽  
Rural Areas ◽  
Design Problem ◽  
Low Frequency ◽  
Mathematical Optimization ◽  
Transportation Services ◽  
Mathematical Optimization Model

This study investigates the timetable design problem in areas with low-frequency public transportation services. In Japan, rural areas face sparse populations and rapid growth in the percentage of elderly people. In these areas, many bus lines offer fewer than 10 services per day. In addition to low-frequency services, it is also inconvenient to transfer to another bus or train service. Thus, there is a strong need to design a timetable that ensures smooth transfers among buses and trains. We tackle this problem by adopting existing bus lines and train timetables as much as possible to avoid drastic changes such as an increase in the number of services. Based on this approach, we present a mathematical optimization model to generate a revised bus timetable that shortens waiting time for transfers compared with the current timetable. We apply our model to a part of the Tohoku District in Japan and demonstrate its usefulness in the real world.

From Rural Single-County to Multicounty Regional Transit Systems: Benefits of Consolidation

2003 ◽  
Vol 1841 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Thomas J. Cook ◽  
Judson J. Lawrie ◽  
Andrew J. Henry
Keyword(s):  
North Carolina ◽  
Public Transportation ◽  
Rural Areas ◽  
Transportation Systems ◽  
The State ◽  
Transit Systems ◽  
Transportation Services ◽  
State And Local ◽  
Legislative Changes ◽  
Public Transportation Systems

A research study developed recommendations for activities to consolidate single-county rural public transportation systems into regional multicounty transit systems in North Carolina. The study identified opportunities from regionalization of public transit services, examined barriers to integration and consolidation of transit systems regionally, evaluated best practices from case study sites, and made recommendations for programmatic and legislative changes to facilitate the implementation of regional transit systems in both metropolitan and rural areas of the state. Emphasis is on the rural component of the study, in summarizing regionalization issues and recommendations for the consolidation of rural single-county into multicounty transit systems. Consolidation of rural public transportation systems into regional entities is another step in further coordinating public transportation services in the state. However, there is a public transportation system now operating in all 100 North Carolina counties. Therefore, the thrust of regionalization will be to consolidate existing rural transportation systems into regional entities. There are key programmatic and legislative aspects of interest to state departments of transportation, transportation planners, and policymakers. Case studies also gathered information from associated state department of transportation staff, to include both the state and local perspectives on regional rural transportation systems.

A Heuristic Algorithm for Solving a Large-scale Real-world Territory Design Problem

Omega ◽  
2021 ◽  
pp. 102442
Author(s):  
Lin Zhou ◽  
Lu Zhen ◽  
Roberto Baldacci ◽  
Marco Boschetti ◽  
Ying Dai ◽  
...  
Keyword(s):  
Heuristic Algorithm ◽  
Real World ◽  
Design Problem ◽  
Large Scale ◽  
Territory Design

scholarly journals Offline Algorithms in Low-Frequency Trading

Queue ◽  
2020 ◽  
Vol 18 (6) ◽  
pp. 37-51
Author(s):  
Terence Kelly
Keyword(s):  
Real Time ◽  
Real World ◽  
High Frequency ◽  
Low Frequency ◽  
Combinatorial Auctions ◽  
Hard Problem ◽  
Np Hard ◽  
High Stakes ◽  
Drill Bits ◽  
Np Hard Problem

Expectations run high for software that makes real-world decisions, particularly when money hangs in the balance. This third episode of the Drill Bits column shows how well-designed software can effectively create wealth by optimizing gains from trade in combinatorial auctions. We'll unveil a deep connection between auctions and a classic textbook problem, we'll see that clearing an auction resembles a high-stakes mutant Tetris, we'll learn to stop worrying and love an NP-hard problem that's far from intractable in practice, and we'll contrast the deliberative business of combinatorial auctions with the near-real-time hustle of high-frequency trading. The example software that accompanies this installment of Drill Bits implements two algorithms that clear combinatorial auctions.

scholarly journals The Role of Stakeholders in Public Transportation Services Based on Information Technology

2021 ◽  
Vol 717 (1) ◽  
pp. 012002
Author(s):  
Jamaluddin Ahmad ◽  
Muhammad Rohady Ramadhan ◽  
Andi Nilwana ◽  
Muhammad Bibin ◽  
Ani Ardian ◽  
...  
Keyword(s):  
Information Technology ◽  
Public Transportation ◽  
Transportation Services

Light Rail Versus Guided Light Transit in Medium-Sized Cities: A Comparative Study for Ioannina, Greece

2017 ◽  
Vol 22 (3) ◽  
pp. 253-274
Author(s):  
Konstantinos Kepaptsoglou ◽  
Eleni Vlahogianni ◽  
Nikolaos Giannoulis ◽  
Aristeidis G. Karlaftis
Keyword(s):  
Public Transportation ◽  
Lower Cost ◽  
Negative Impact ◽  
Urban Environments ◽  
Social Benefits ◽  
Light Rail ◽  
Transit Systems ◽  
Additional Advantage ◽  
Transportation Services ◽  
High Investment

Light rail transit systems (LRTs) are attractive options for modern communities as they offer high quality, sustainable public transportation services. However, investment costs often may make their application for medium-sized cities prohibitive, particularly if no significant social benefits are achieved. Guided light transit (GLT) has been introduced in the recent years, as a lower cost alternative to LRT, with the additional advantage of being suitable for urban environments with space limitations. In this study, a systematic comparison of LRT and GLT is offered, in the context of a mid-size city in Greece. Results indicate that high investment costs, coupled with low ridership can have a negative impact to the introduction of LRT in a medium-sized city. However, under certain conditions, GLT may be a viable alternative, while its nature and characteristics are not that different to those of LRT.

scholarly journals Determinants of satisfaction with campus transportation services: Implications for service quality

2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Felix Charbatzadeh ◽  
Udechukwu Ojiako ◽  
Maxwell Chipulu ◽  
Alasdair Marshall
Keyword(s):  
Service Quality ◽  
Public Transportation ◽  
Critical Element ◽  
Financial Loss ◽  
Transportation Services ◽  
Transportation Service ◽  
Service Engagement ◽  
Managerial Attention ◽  
Determinants Of Satisfaction ◽  
Bus Transportation

Background: In a number of countries, buses are a critical element of public transportation, providing the most inclusive and sustainable mode of transportation to all forms of citizenry, including staff and students of universities.Objectives: The study examines the determinants of satisfaction with campus bus transportation. The article is primarily discursive and based on the synthesis of existing service literature supported by data obtained from a survey of 847 respondents.Method: Structural equation modelling is undertaken using AMOS 19, allowing for the examination of compound relationships between service engagement variables.Results: Results show statistically significant differences between perceived service quality and travel routes. The authors argue that managerial attention to service user experiences does not only hold the key to ongoing competitive success in campus transportation services but also that those services can be significantly enriched through greater managerial attention to the interface between risk of financial loss (which increases when the campus bus transportation service provider becomes less able to compete) and service quality.Conclusion: The authors argue that if providers of campus bus transportation services are to rise to their service delivery challenges and also maintain or improve upon their market positions, they must conceptualise their services in a manner that takes into consideration the two-way interrelationship between risk of financial loss and service quality. It must also be noted that, although this study may have relevance for firm–firm scenarios, its focus is primarily on service supplier firm–customer service engagements.Keywords: Modelling; Transportation; Service

Developing and Comparing Alternative Design Optimization Formulations for a Vibration Absorber Example

2017 ◽  
Author(s):  
Siyao Luan ◽  
Deborah L. Thurston ◽  
Madhav Arora ◽  
James T. Allison
Keyword(s):  
Design Problem ◽  
Mathematical Optimization ◽  
Computational Time ◽  
Vibration Absorber ◽  
Solution Quality ◽  
Design Representation ◽  
Core Elements ◽  
Improved Design ◽  
Time Required ◽  
Level Of Effort

In some cases, the level of effort required to formulate and solve an engineering design problem as a mathematical optimization problem is significant, and the potential improved design performance may not be worth the excessive effort. In this article we address the tradeoffs associated with formulation and modeling effort. Here we define three core elements (dimensions) of design formulations: design representation, comparison metrics, and predictive model. Each formulation dimension offers opportunities for the design engineer to balance the expected quality of the solution with the level of effort and time required to reach that solution. This paper demonstrates how using guidelines can be used to help create alternative formulations for the same underlying design problem, and then how the resulting solutions can be evaluated and compared. Using a vibration absorber design example, the guidelines are enumerated, explained, and used to compose six alternative optimization formulations, featuring different objective functions, decision variables, and constraints. The six alternative optimization formulations are subsequently solved, and their scores reflecting their complexity, computational time, and solution quality are quantified and compared. The results illustrate the unavoidable tradeoffs among these three attributes. The best formulation depends on the set of tradeoffs that are best in that situation.

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