Bus Facilities Research Articles

Research on the improvement of conventional public transportation in the context of population aging

With the aggravation of the trend of population aging, the conventional bus planning and service in Lhasa city need to be adjusted continuously to meet the needs of the elderly, so that they can enjoy convenient transportation services to better integrate into the city life, so the conventional bus improvement in the context of aging is a relevant study. According to the research characteristics of this paper, Lhasa Chengguan District is selected as the research area, and the current situation of regular bus development in the region is briefly analyzed, and based on the Gaode Map API to obtain the station and road network data, the spatial barrier model is used to assess the accessibility of regular buses, and then ArcGIS is used to visualize the data. Finally, the conventional bus improvement strategy adapted to the aging society is proposed from the three aspects of bus stops and road network, bus facilities for aging, and bus service quality, so as to provide the elderly with more convenient, comfortable, and barrier-free bus services, thus realizing the sustainable development of Lhasa City.

Analisis Faktor-faktor Pelayanan Trans Jogja Berdasarkan Persepsi Pengguna Sepeda Motor

In 2021, the population of motorized vehicles in DIY reached 3 million units of which 85% were motorcycles. The growth in the number of motorized vehicles results in increased congestion, pollution, and traffic accidents. To overcome transportation problems in Yogyakarta, in 2008 the government operated BRT (Bus Rapid Transit) based public transportation, Trans Jogja. However, various studies have shown that the load factor of Trans Jogja is very low. This study was conducted to see the characteristics of motorcyclist and latent factors of public transportation services that are prioritized by motorcycle users to switch modes to Trans Jogja.
 Primary data was obtained online and offline from 455 motorcycle users by answering a research questionnaire consisting of four sections, namely sociodemographic characteristics, travel characteristics and service factors that are prioritized to switch to Trans Jogja. Data analysis was conducted using descriptive methods, crosstab and factor analysis with SPSS.
 The results of the crosstab analysis show that the sociodemographic characteristics of respondents that correlate with the number of motorcycle ownership are age, income, pocket money, number of family members.Based on the factor analysis of public transport services prioritized by motorcycle users to switch to Trans Jogja, 4 latent factors were obtained, namely Trans Jogja service performance, transit experience, bus facilities and fees and parking.
 
 Keywords: Motorcycle, Trans Jogja, mode shift, factor analysis

COLLEGE BUS MANAGEMENT SYSTEM

-The modern world is guided by the change in the technology day by day. Mostly the relevant changes in technologies are enhancing the modern business techniques. Different technologies have been developed in the world for making people’s life easier and better day by day. Android is the latest and a rapid growing technology available for all the users or users in today’s market. An enormous increase in the end user acceptance has been experienced in the past few years. The project is based on the latest GPS technology which enables college management team a better way to keep eye on the activity of the college buses and manage schedule as well as provide real time bus location for the students using bus service. The College Bus Management System is Web &Android system aimed at students, college administration to maintain bus facility. The system takes student information as input source and attempts to maintain the bus services. It allows flexibility during these processes. The system generates exhaustive reports related to the Bus Management i.e. Fees paid, dues, rout no. & bus stop.To overcome the problems of manual bus management system, We have developed Web &Android Based college bus management System. College bus management System is based on Android& Web, which can be implemented on any Android Phone. Keywords:College bus tracking; GPS Location tracker Android, Web Application, Real Time Tracking,

Hurricane resiliency methods for the New York City electric bus fleet

• On-street fast chargers can maintain electric bus service after hurricanes . • Decentralized flood protection and power sources will support chargers. • Charger protection can include mobile generators and pumps. • Further strong protection methods are solar panels and standalone flood barriers. • Flood projections should be used in charger site planning. Electric buses help municipalities reduce emissions and improve resident health. However, they require a steady electricity supply and face challenges from electricity network disruptions after natural disasters. This study examines hurricane vulnerability of two New York City electric bus routes. We use electricity loss and flooding scenarios to determine the critical element of NYC’s electric bus infrastructure: on-street fast chargers, not overnight depot chargers. This conclusion applies for both routes, despite differences in route length, charging pattern, and battery size. Applying existing infrastructure and cost analyses, we conclude that temporary flood barriers around on-street chargers used with diesel generators and solar panels are strong resiliency methods. Additionally, considering flood projections in charger site choices can avoid unexpected costs. These findings are a departure from previous disaster planning focused on centralized bus facilities. As cities work towards fully electric bus fleets, this study and similar analyses can inform transportation resiliency spending.

The influence of ride-hailing on travel frequency and mode choice

Using data derived from 597 face-to-face interviews with ride-hailing users in Chengdu (China), we examined the influence of ride-hailing on travel frequency and mode choice and further analyzed what the main determinants for these are. The results indicate that 16.8% of the respondents increase their frequency of trips because of the adoption of ride-hailing services, suggesting a complementary effect of ride-hailing on travel. Meanwhile, the use of traditional travel modes is considerably substituted by ride-hailing services. Particularly, around half of the respondents indicated a substitution of ride-hailing for sustainable modes (i.e., public transit, cycling, and walking), which may thus generate environmental problems (e.g., increasing greenhouse gas emissions). Additionally, regression outcomes show that higher accessibility to bus stations is negatively correlated with the shift from sustainable modes to ride-hailing. Therefore, optimizing the access to bus facilities may be effective to cope with potential transportation problems posed by ride-hailing.

Grants for Buses and Bus Facilities Program (DOT)

Grants for Buses and Bus Facilities Program (DOT)

Deadhead Minimization with a Flexible Facility Locator Tool

As transit agencies expand, they may outgrow their existing bus storage and service facilities. When selecting a site for an additional facility, an important consideration is the change in bus deadhead time, which affects the agency’s operating costs. Minimizing bus deadhead time is the subject of many studies, though agencies may lack the necessary software or programming skill to implement those methods. This study presents a flexible tool for determination of bus facility location. Using the R dodgr package, it evaluates each candidate site based on a given bus network and existing depots and calculates the network minimum deadhead time for each potential set of facilities. Importantly, the tool could be used by any transit agency, no matter its resources. It runs on open-source software and uses only General Transit Feed Specification (GTFS) and data inputs readily available to transit agencies in the U.S.A., filling the accessibility gap identified in the literature. The tool is demonstrated through a case study with the Metropolitan Atlanta Rapid Transit Authority (MARTA), which is considering a new bus depot as it builds its bus rapid transit network. The case study used current MARTA bus GTFS data, existing depot locations, and vacant properties from Fulton County, Georgia. The tool evaluated 17 candidate sites and found that the winning site would save 29.7 deadhead hours on a typical weekday, which translates to more than $12,000 daily based on operating cost assumptions. The output provides important guidance to transit agencies evaluating sites for a new bus depot.

Incorporating Practical Degree of Saturation in Capacity Estimation of On-Street, Mid-Block, Off-Line Bus Stops

The effectiveness of an on-street bus facility depends on the general traffic that shares the lane used by buses. The Transit Capacity and Quality of Service Manual (TCQSM) methodology was used to estimate facility bus capacity based on critical stop operation. Hisham et al. provided an improved understanding of performance of an on-street, mid-block, off-line bus stop by relating bus stop capacity to the adjacent lane traffic flow rate. Using the TCQSM methodology, bus stop capacity was determined by adopting an estimated operation margin that relates to a design bus stop failure rate. However, failure rate is theoretically ambiguous and difficult to quantify in practice, particularly under high volume traffic conditions. In contrast, degree of saturation is a direct measure of operating conditions experienced by buses using the stop, and by the adjacent lane general traffic, so it directly affects approach delay and queuing. The aim of this study was to better understand performance at on-street, mid-block, off-line bus stops by considering degrees of saturation of loading areas and the adjacent lane rather than design failure rate according to the TCQSM methodology, and to ensure that waiting times upstream of bus stops are kept to acceptable levels by determining bus stop maximum working capacity.

Selection of Parameters and Parametric Design of Smart Bus Stops to Improve the Socio-temporal Landscape in Bhubaneswar, Odisha, India

Transportation is an important activity under Sustainable Development Goals of the United Nations. Bus stops are a crucial included element, which requires an architectural design for user satisfaction using functional and ethical design parameters. A study has been conducted at Bhubaneswar, Odisha, India to find the scope for development in the present bus stop infrastructures for better user satisfaction. Major bus routes in the town involving intra-city routes and intercity routes have been selected. Thirty-seven bus stops are selected for survey and analysis. User requirements in the bus stops have been evaluated and used as parameters for an improved design. A total of eighteen parameters are evaluated through survey and the feedback has been recorded in Google Form for analysis. Central tendencies of data have been computed. Further, dimensional reduction technique has been used to identify the principal components responsible for synergy of parameters. PCA of first three Principal component parameters has been considered for re-modelling the bus stops of Bhubaneswar. It has been observed that seven parameters jointly can achieve 54.4% user’s satisfaction compared to 44% as observed from the descriptive statistical analysis. Minitab-18 has been used for all statistical analysis. The correlation coefficient values have been used to determine the requirements of bus stop users in Bhubaneswar at different bus stops. PCA plots are further analysed for parameter recommendation in upgrading the bus stop facilities to make it sustainable and environment-friendly. The design of the bus stop has been made using Rhinoceros software and Grasshopper plugin.

Simulasi Monte Carlo dalam Prediksi Jumlah Penumpang Angkutan Massal Bus Rapid Transit Kota Padang

Bus Rapid Transit is a system of bus facilities, services and comfort which is used to increase speed and reliability and is integrated with a strong transit identity through high quality services. Trans Padang is a land transportation based on Bus Rapid Transit in Padang City which is managed by the Transportation Agency which started operating in January 2014 with a total bus fleet of 10 units on the Lubuk Buaya-Pasar Raya Padang route. Currently it has 2 corridors operating out of 6 corridors designed. This study aims to predict the number of Bus Rapid Transit passengers in Padang City and determine the level of accuracy of simulation data with real data using the Monte Carlo method. The data used to predict the number of passengers is data on the number of passengers from January 2017 to December 2019. From the simulations carried out, simulated accuracy is obtained for predicting the number of passengers with an average accuracy of above 80%. Based on a fairly high level of accuracy, the application of the Monte Carlo method to predict the number of Bus Rapid Transit passengers in Padang City is considered to be able to predict the number of passengers in the following year.

Analysis of the Trans Koetaradja bus services considering latent variables of bus line services

The Government of Aceh delivers a transport policy measure to combat autos dependency and severe traffic within the city by reforming conventional urban public transportation to modern bus system so-called the Trans Koetaradja (TK). The most critical issue for urban bus system is in how to maintenance existing users and attract new ridership’s. In this case, perceived service quality (PSQ) elements such as the easiness, comfort, and safety of bus system has an importance rule in determining user’s satisfaction. The PSQ is used in public transport planning and operation as a tool to establish the level of overall user’s satisfaction towards public transport services. Therefore, this study aims to examine the PSQ of the TK bus services by considering unobserved variable such as psychological indicators related to the bus line services from TK’s users. Revealed preference survey within 3 lines of TK was conducted in the mid of 2019. On board survey with a total of 450 samples were distributed and valid used in this study. The multivariate analysis of structural equation modelling so-called confirmatory factor analysis (CFA) is used to deeply explore the behavioral intention of TK users toward the bus service attributes. The CFA result depicts that PSQ resulted to higher user’s satisfaction has significantly statistical relationship with the user intention to the bus services variables of “obedience when stopped”, “driver appearance”, “air condition”, “bus arrival time” and “the satisfaction of supporting bus facilities”.

Measuring accessibility of bus system based on multi-source traffic data

ABSTRACT Accessibility is a representative indicator for evaluating the supply of bus system. Traditional studies have evaluated the accessibility from different aspects. Considering the interaction among land use, bus timetable arrangement and individual factors, a more holistic accessibility measurement is proposed to combine static and dynamic characteristics from multisource traffic data. The rationale of the proposed model is verified by a case study of bus system in Shenzhen, China, which is carried out to find the spatial and temporal discrepancy of service of bus system. It is found that the adjustment of bus schedule to time-varying travel demand can affect accessibility of bus system and that Land-use development, average bus speed and bus facilities all have positive effects on accessibility of bus system. These findings provide significant reference for transport planning and policy-making. The proposed model is not limited to accessibility measuring of bus system, but also applicable to other travel modes.

Analysis of operating modes of a traction electric drive

Nowadays the modern society thinks more about the adverse impact of transport on the environment. Therefore development engineers and manufacturers of automobile and bus facilities have recently started to take more interest in creation of transport facilities with a reduced impact on the environment. These transport facilities comprise an energy storage unit as a traction battery that has a key impact on their cost and characteristics, such as like a carrying capacity and a distance on one charge. Development engineers must get all the necessary technical specifications of system components, as well as rapidly and flexibly evaluate an impact of their changes on service characteristics. It allows applying a simulation approach by using the Matlab/Simulink software suite while analysing motion modes under service conditions. This article contains the results of such an analysis for motion modes of passenger vehicles with high capacity depending on their routes. This analysis was executed by recording speed rates with subsequent statistical processing. It shows that average running speeds don’t exceed 15 km/h. And the vehicle doesn’t reach any maximum speed values. It has been established that the electric engine working points relate to the first zone of the external characteristic. The most typical speed values do not exceed 1/3 from the maximum speed, and the values of a torsion tractive effort torque and a brake torque are within the limits and do not exceed 35 from the maximum short-time torque.

Grants for Buses and Bus Facilities Program (DOT)

Federal Grants & ContractsVolume 44, Issue 6 p. 3-3 Grant Alerts Grants for Buses and Bus Facilities Program (DOT) First published: 17 February 2020 https://doi.org/10.1002/fgc.30909Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume44, Issue620 February 2020Pages 3-3 RelatedInformation

Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China

Abstract Bus ridership in many cities has not increased but, ultimately, decreased with the continuous growth of the bus facility scale in recent years in China. This study aims to explore the relationship between bus facility scale and ridership attraction by introducing technical efficiency as a mediator variable, and data collected from 152 Chinese cities in 2015 is used in the study. Technical efficiency in this paper refers to the degree to which a bus system attains its minimum inputs (labor, bus facility) with a given level of output (vehicle-km). Results show that the technical efficiency has a mediation effect. When bus facilities are few and insufficient, an increase in facilities can considerably enhance ridership attraction through higher technical efficiency, but when the scale of bus facilities increases to an excess, ridership attraction suffers from the negative impact of a lower technical efficiency. This study offers a theoretical explanation and provides decision support for policy-makers who would like to strengthen bus ridership attraction.

Capacity Estimation of On-Street, Mid-Block, Off-Line Bus Stops Considering Yield-to-Bus Rule

The effectiveness of an on-street bus facility depends on the volume of general traffic sharing the buses’ travel lane. The Transit Capacity and Quality of Service Manual (TCQSM) methodology estimates capacity of a bus facility based on the operation of critical stops. The aim of this study is to understand better the performance of an on-street, mid-block, off-line bus stop by relating bus stop capacity to adjacent lane traffic volume. The contributions of this paper are twofold. First, the TCQSM methodology incorporates the effect of adjacent lane traffic volume on bus stop capacity at mid-block bus stops through its effect on re-entry delay, but it does not consider the impact of the bus stop itself on adjacent lane traffic capacity. This paper introduces a novel methodology to estimate the additional time required to accommodate adjacent lane traffic volume under saturated conditions. Second, the TCQSM methodology does not reflect the effect on re-entry delay of a yield-to-bus (YTB) rule, which is mandatory by law in some jurisdictions. This paper modifies the current TCQSM methodology by allowing for the YTB rule. A microscopic simulation model is developed in order to cross-validate the theoretical model developed.

High volume bus stop upstream average waiting time for working capacity and quality of service

High volume bus facilities range from on-street facilities to dedicated Bus Rapid Transit (BRT) facilities. The aim of this study is to better understand performance by directly relating critical stop bus capacity to quality of service (QOS), which measures performance from the passengers’ and operator’s perspectives. The US transit capacity and quality of service manual methodology estimates facility bus capacity based on critical stop operation using a failure rate approach. However, this approach is inaccurate under high volume conditions and the failure rate is a difficult measure to prescribe and to interpret. This research provides an improved understanding of operation by instead considering bus upstream average waiting time to measure capacity and QOS performance, because it is experienced directly by passengers and is an indicator of the impact upon general traffic. A fundamental microscopic simulation model is developed with many bus stop operational aspects occurring stochastically, including upstream arrivals. An empirical upstream average waiting time model is calibrated for five bus stop scenarios including BRT and on-street conditions. This is then used to determine working capacity based on QOS threshold upstream average waiting time. Assigning a worse threshold gives diminishing returns in working capacity, particularly for waiting times beyond 60 s. For an assigned threshold, as loading area processing time reduces, working capacity increases more markedly. This demonstrates that BRT stations are more productive than general on-street bus stops. An example shows that a policy decision exists for the operator as to which QOS threshold to accept in balance with working capacity that suits the desired schedule. It is also discussed that the model enables the operator to evaluate the impact of design or operational changes as well as timetable changes on capacity and QOS.

Modelling preferences for smart modes and services: A case study in Lisbon

In this research, we investigate the acceptability of three new and emerging smart mobility options and quantify the associated willingness-to-pay values in the context of Lisbon using a comprehensive stated preferences (SP) survey. The smart mobility options include shared taxi, one-way car rental, and a novel combination of park-and-ride and school bus facilities. While previous surveys on smart mobility options had investigated limited number of alternatives in isolation, the SP survey used in this research presents the smart mobility options alongside the existing options and their traditional variants like congestion pricing and improved public transport systems. Further, the choice of mode, departure time and occupancy are investigated in a multidimensional framework. This resulted a large choice set (with 9 modes, 5 departure times, and 2 occupancy levels leading to 135 alternatives in total) and required a novel survey design.The main survey administered over the internet and computer aided personal interviews included 2372 valid SP observations from 1248 respondents. Multi-dimensional mixed logit models were used to capture the complex correlations introduced due to the non-traditional survey design. Results indicate a significant preference of one-way car rental and shared taxi for non-commute trips. For commute trips, improved versions of traditional public transport modes are favoured over smart mobility options. These findings, as well as the novel data collection and modelling approach, are expected to provide important information to transportation planners and policy makers working to implement smart mobility options in Lisbon as well as in other cities.

School bus’s level of service in Malang City

School Bus began operated on the 12th of January 2015. Provision of school buses is expected to reduce not only the use of vehicles by students, but it is also to reduce the number of traffic jams. Malang school bus facilities provided by the Department of Transport in cooperation with the Department of Education to serve students in elementary school, junior and senior high schools. After the service running two years, based on the preliminary observation not all students are interested in using the school bus. The research objective was to measure the school bus’s level service. The method to measure school bus’s level of service was used Importance Performance analysis (IPA). The results showed that through IPA, it can be concluded that school bus’s level of service in Malang City have been able to serve students/customers with the mean of degree suitability (Tki) is 111. Meanwhile it must be observed and get more attention to improve by government, attributes which is lies in the first quadrant or concentrate here (attribute Adequate space, Seating capacity, Availability trash can, Passenger facility down in points, The availability of information boards in each bus stop, Availability public telephone in each bus stop, and Availability CCTV in each bus), in order to increase its performance.

An Analysis of Public Transit Connectivity Index in Tehran. The Case Study: Tehran Multi-Modal Transit Network

Public transit is a major priority in modern management of large cities and metropolitan areas in particular. Public transit systems in such cities consist of a large number of nodes and lines which are represented by a complex network. A station for public transit is a bridge between the people and public transit network, based on which, the concept of input and output power for each station can be defined. The objective of this study is the application of the transit connectivity indices to the multimodal transit network in the city of Tehran. The public transit network data employed in this study is taken from Tehran Traffic Control Company, and Tehran Urban and Suburban Railway Operation Company. The methodology for measuring transit connectivity consists of three measures: Node connectivity, Line connectivity and Regional connectivity, where activity density is applied to these measures. The results of node connectivity analysis shows that most of the node connectivity in concentrated in the city center with many nodes in the center along routes going north and south. The line connectivity analysis shows that there is a concentration of highly connected lines that are near Tehran municipality region 12 and 16. Finally, we find that areas with more metro and bus facilities with respect to the other areas, have a better regional connectivity. One of these areas includes Sadeghiyeh Metro Station which is the junction of Tehran Metro Line 2 and Tehran Metro Line 5 which have a high connectivity power. Results of this study can be used to suggest some ideas on how future investments in rail and bus should be prioritized. Particularly in Transit Oriented Development (TOD) and sustainble development projects, urban planners can design transit stations with high performance to access the crucial services in poor areas.