scholarly journals Bus Transit Network Structure Selection With Multiple Objectives

Author(s):  
K. Ramacandra Rao ◽  
Subhro Mitra ◽  
Joseph Szmerekovsky

Bus transportation is the essential mode of public transportation available for intra-district movements in India. The planning of different stages of bus transportation planning is usually done in an ad-hoc manner on the basis of the experience of the operators. For a rational design of the bus transit system, it is essential to take into account the objectives of different interest groups. Selection of an appropriate network structure is an essential part of the planning process. In this paper, a model developed for generating a number of alternative network structures using link deletion concept is presented. One of these alternatives can be selected on the basis of the trade-off between the user and operator objectives. The model has been applied to a case study of bus transit network of Visakhapatnam region in Andhra Pradesh.

Author(s):  
Andrew Guthrie ◽  
Yingling Fan ◽  
Kirti Vardhan Das

Accessibility analysis can have important implications for understanding social equity in transit planning. The emergence and the increasingly broad acceptance of the general transit feed specification (GTFS) format for transit route, stop, and schedule data have revolutionized transit accessibility research by providing researchers with a convenient, publicly available source of data interoperable with common geographic information system (GIS) software. Existing approaches to GTFS-based transit analysis, however, focus on currently operating transit systems. With major transit expansions across the nation and around the world increasing in number and ambition, understanding the accessibility impacts of proposed projects in their early planning stages is crucial to achieving the greatest possible social benefit from these massive public investments. This paper describes the development of a hypothetical transit network based on current GTFS data and proposed 2040 transit improvements for the Twin Cities region of Minneapolis–Saint Paul, Minnesota, as well as its use as a sketch planning tool in exploring the proposed system’s impacts on access to job vacancies from historically disadvantaged areas. This research demonstrates the importance of accessibility analysis in planning a transit system that increases opportunity for marginalized workers and concludes by calling for broader, easier access to accessibility analysis for practitioners and community groups to refine the early stages of the transit planning process and democratize an increasingly crucial transit planning tool.


Urban Science ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 87
Author(s):  
Orlando Barraza ◽  
Miquel Estrada

Structural analysis in a transit network is a key aspect used to evaluate in a planning process. In this sense, the use of network science was applied in this work to generate a framework of the main structural features of a transport network. In this case, an alternative transport network in Guadalajara, Mexico was taken as an example. The network properties selected were grade of accessibility, spatial friction, and vulnerability. In the case of the grade of accessibility, this propriety makes reference to the efficiency of the travel time that the network gives due to its structural features. The spatial friction measures how direct in terms of distance the trips that the network provides are, and the vulnerability relates to the ease with which the network can comprise its performance by affectations to their nodes or links. In this sense, this work presents a detailed methodology and a set of open-source tools that can be used to measure these key structural elements for decision making.


2011 ◽  
Vol 97-98 ◽  
pp. 1117-1122 ◽  
Author(s):  
Andisheh Ranjbari ◽  
Afshin Shariat Mohaymany ◽  
S. M. Mahdi Amiripour

Transit network design as the first and critical phase of public transportation planning is extremely sensitive to transit demand. An important characteristic of transit demand is elasticity or service-dependency, which means that any change in the service offered by the system is followed by a change in transit demand. Due to the complexity of transit network design problem (TNDP) researchers have usually assumed transit demand to be fixed rather than elastic; while ignoring this issue may result in inefficiency of system, dissatisfaction of users, and system failure, since the predicted amount of passengers would not use the transit system. This paper aims to demonstrate the necessity of elastic demand consideration in transit network design, and proposes a solution framework, which is composed of a preparation stage and an iterative procedure. A case study example is presented subsequently, to show the use of this solution method and further illustrates the necessity of considering this issue. Three cases of truly predicted demand (considering elastic demand), overestimated and underestimated demands (in the absence of elastic demand consideration) are defined, and the performance measures of these cases are compared to those in the base mode. The results show that elastic demand consideration leads to the optimal network, in which the system efficiently matches between supply and demand.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xinghua Li ◽  
Tianzuo Wang ◽  
Lingjie Li ◽  
Feiyu Feng ◽  
Wei Wang ◽  
...  

Electric buses (EBs) have been implemented worldwide and exhibited great potential for air pollution reduction and traffic noise control. In regular charging scenarios, the deployment of charging facilities and the operational scheduling of the transit system is crucial to bus transit system management. In this paper, we proposed a joint optimization model of regular charging electric bus transit network schedule and stationary charger deployment considering partial charging policy and time-of-use electricity prices. The objective of the model is to minimize the total investment cost of the transit system including the capital and maintenance cost of EBs and chargers, the power consumption cost, and time-related in-service cost. A solving procedure based on the improved adaptive genetic algorithm (AGA) is further designed and a transit network at inner Anting Town, Shanghai, with 8 individual bus routes and 867 daily service trips is adopted for the model validation. The validation results illustrated that the methodology considering the partial charging policy can arrange the charging schedule adaptive to the time-of-use electricity prices. Compared with the benchmark of single line separate scheduling, the proposed model can yield 3 million RMB investment saving by highly utilizing EBs and battery chargers.


Author(s):  
Yue Su ◽  
Xiaobo Liu ◽  
Guo Lu ◽  
Wenbo Fan

As a major part of public transportation systems, bus transit has been regarded as an effective mode to alleviate traffic congestion and solve vehicle emission problems. The performance of a bus transit system depends largely on the design of bus stop locations. This research proposes a multi-period continuum model (peak and off-peak hours) to optimize the design of a bus route for four different vehicle types (i.e., supercharge bus, compressed natural gas (CNG) bus, lithium-ion battery bus, and diesel bus) considering driving regimes and pollutant cost. Inter-stop driving regimes—acceleration, cruising, coasting, and deceleration—are explicitly introduced into the optimization to determine whether and how the coasting regime should be undertaken in the tradeoff between commercial speed of vehicles and operating costs. The cost effectiveness of each alternative has been investigated in a life cycle and compared with respect to different vehicle types. The method has been applied to the real-world bus route no. 7 in Yaan City (China). The results of numerical experiments show that through optimization the total system cost can be reduced by more than 50%. The results of the continuum model are validated by comparison with the discretized results, and the outcomes are similar (with error less than 3%). Finally the life-cycle cost of the four vehicle types is analyzed, and the results indicate that, because of high purchase prices, it is difficult for clean-energy buses to outperform conventional buses in a life cycle (normally eight years), unless subsidies are provided.


2021 ◽  
Author(s):  
Oliver Benning ◽  
Jonathan Calles ◽  
Burak Kantarci ◽  
Shahzad Khan

This article presents a practical method for the assessment of the risk profiles of communities by tracking / acquiring, fusing and analyzing data from public transportation, district population distribution, passenger interactions and cross-locality travel data. The proposed framework fuses these data sources into a realistic simulation of a transit network for a given time span. By shedding credible insights into the impact of public transit on pandemic spread, the research findings will help to set the groundwork for tools that could provide pandemic response teams and municipalities with a robust framework for the evaluations of city districts most at risk, and how to adjust municipal services accordingly.


Author(s):  
Felix Charbatzadeh ◽  
Udechukwu Ojiako ◽  
Maxwell Chipulu ◽  
Alasdair Marshall

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


2017 ◽  
Vol 46 (1) ◽  
pp. 84-102 ◽  
Author(s):  
Ruihong Huang

To measure job accessibility, person-based approaches have the advantage to capture all accessibility components: land use, transportation system, individual’s mobility and travel preference, as well as individual’s space and time constraints. This makes person-based approaches more favorable than traditional aggregated approaches in recent years. However, person-based accessibility measures require detailed individual trip data which are very difficult and expensive to acquire, especially at large scales. In addition, traveling by public transportation is a highly time sensitive activity, which can hardly be handled by traditional accessibility measures. This paper presents an agent-based model for simulating individual work trips in hoping to provide an alternative or supplementary solution to person-based accessibility study. In the model, population is simulated as three levels of agents: census tracts, households, and individual workers. And job opportunities (businesses) are simulated as employer agents. Census tract agents have the ability to generate household and worker agents based on their demographic profiles and a road network. Worker agents are the most active agents that can search jobs and find the best paths for commuting. Employer agents can estimate the number of transit-dependent employees, hire workers, and update vacancies. A case study is conducted in the Milwaukee metropolitan area in Wisconsin. Several person-based accessibility measures are computed based on simulated trips, which disclose low accessibility inner city neighborhoods well covered by a transit network.


Author(s):  
Ana Peric ◽  
Frank D’hondt

AbstractThroughout its history, but also squeezed between the current challenges of globalisation and sovereignty, the Balkans has been confronted with a number of different political, economic, environmental, and cultural problems. Such a complex social framework inevitably implies spatial degradation, not only in terms of the urban forms as the final planning product, but also in terms of the nature of the planning process and urban governance. Notably, we assume that territorial capital in the Balkans is under serious threat due to the abuse of legal procedures, the neglect of the public interest and the politicisation of planning. To elucidate this, we focus on the megaprojects Belgrade Waterfront (Belgrade) and Hellinikon (Athens) as examples of urban development that require exceptional conditions such as special regulations, additional funding, long-term timeframes, and ad hoc actor networks. Against the conceptual background of multi-level governance and based on in-depth case studies, we examine the nature of vertical cooperation between authorities at different levels (from supranational to local), horizontal cooperation amongst different stakeholders, and the role of planning professionals who are seen as facilitators in this process. Finally, we point out to the most important conditions that enable a democratic social, political and professional framework for urban megaprojects.


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