WiFi Scanner Technologies for Obtaining Travel Data about Circulator Bus Passengers: Case Study in Obuse, Nagano Prefecture, Japan

2018 ◽  
Vol 2672 (45) ◽  
pp. 45-54 ◽  
Author(s):  
Arief Hidayat ◽  
Shintaro Terabe ◽  
Hideki Yaginuma
Keyword(s):  
Smart Cards ◽  
Raw Data ◽  
Nagano Prefecture ◽  
Bus Stop ◽  
Bus Stops

Recently, a variety of technologies, such as the development of Bluetooth, WiFi, and smart cards, have been used to investigate the movements of passengers or vehicles. This study describes the use of a WiFi scanner that was installed on a bus and circulated around the bus’s route 14 times. The method presented here involves the use of WiFi and GPS to analyze passengers’ movements while the bus is running and while stopped at a bus stop. Nine steps were used to derive travel data from the raw data to estimate the number of movements of the passengers. The results of this study describe the travel data collected between bus stops no. 1 and no. 9 and compare the observer data with the WiFi data.

scholarly journals A Methodology to Evaluate Accessibility to Bus Stops as a Contribution to Improve Sustainability in Urban Mobility

2019 ◽  
Vol 11 (3) ◽  
pp. 803 ◽  
Author(s):  
Maria Corazza ◽  
Nicola Favaretto
Keyword(s):  
Multicriteria Analysis ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Sustainable Mobility ◽  
Urban Network ◽  
Bus Stop ◽  
Final Score ◽  
Advanced Knowledge ◽  
Bus Stops

Walking and transit are the backbone of sustainable mobility. Bus stops not only represent the connection between the two, but are also central in dictating the attractiveness of the latter. Accessibility of bus stops becomes, then, pivotal in increasing both attractiveness and sustainability of public transport. The paper describes a multi-step methodology to evaluate bus stops’ accessibility starting from a cluster of seven indicators describing objective and subjective features influencing passengers’ choice toward a given bus stop. The indicators are weighed by a questionnaire submitted to experts. Finally, a multicriteria analysis is developed to obtain a final score describing univocally the accessibility of each stop. Outcomes are mapped and a case study in Rome is reported as an example, with 231 bus and tram stops assessed accordingly. Results shows the relevance of the urban network and environment in evaluating the accessibility and in promoting more sustainable mobility patterns. Research innovation relies on the possibility to merge data from different fields into a specific GIS map and easily highlight for each bus stop the relationships between built environment, passengers’ comfort, and accessibility, with the concluding goal to provide advanced knowledge for further applications.

scholarly journals Coupling Degree between the Demand and Supply of Bus Services at Stops: A Density-Based Approach

2021 ◽  
Vol 10 (3) ◽  
pp. 173
Author(s):  
Bowen Li ◽  
Zhengdong Huang ◽  
Jizhe Xia ◽  
Wenshu Li ◽  
Ying Zhang
Keyword(s):  
Statistical Approach ◽  
Demand And Supply ◽  
Bus Stop ◽  
Potential Demand ◽  
Bus Stops ◽  
Bus Service ◽  
Bus Services ◽  
Global And Local ◽  
Level 2

The bus stop layout and route deployment may influence the efficiency of bus services. Evaluating the supply of bus service requires the consideration of demand from various urban activities, such as residential and job-related activities. Although various evaluation methods have been explored from different perspectives, it remains a challenging issue. This study proposes a spatial statistical approach by comparing the density of the potential demand and supply of bus services at bus stops. The potential demand takes jobs-housing locations into account, and the supply of bus services considers bus stops and their associated total number of daily bus arrivals. The kernel density estimation (KDE) and spatial autocorrelation analyses are employed to investigate the coupling relationship between the demand and supply densities at global and local scales. A coupling degree index (CDI) is constructed to standardize the measurement of demand-supply balance. A case study in Wuhan, China demonstrated that: (1) the spatial distribution of bus stops is reasonable at global level, (2) Seriously unbalanced locations for bus services have been detected at several stops. Related adjustments that can improve these defects are highly recommended.

Modeling Bus Capacity for Bus Stops Using Queuing Theory and Diffusion Approximation

2021 ◽  
pp. 036119812110302
Author(s):  
Chao Wang ◽  
Weijie Chen ◽  
Yueru Xu ◽  
Zhirui Ye
Keyword(s):  
Approximation Method ◽  
Service Time ◽  
Diffusion Approximation ◽  
Coefficient Of Variation ◽  
Queuing Theory ◽  
Queuing Model ◽  
Bus Stop ◽  
Proposed Model ◽  
Bus Stops ◽  
Bus Service

For bus service quality and line capacity, one critical influencing factor is bus stop capacity. This paper proposes a bus capacity estimation method incorporating diffusion approximation and queuing theory for individual bus stops. A concurrent queuing system between public transportation vehicles and passengers can be used to describe the scenario of a bus stop. For most of the queuing systems, the explicit distributions of basic characteristics (e.g., waiting time, queue length, and busy period) are difficult to obtain. Therefore, the diffusion approximation method was introduced to deal with this theoretical gap in this study. In this method, a continuous diffusion process was applied to estimate the discrete queuing process. The proposed model was validated using relevant data from seven bus stops. As a comparison, two common methods— Highway Capacity Manual (HCM) formula and M/M/S queuing model (i.e., Poisson arrivals, exponential distribution for bus service time, and S number of berths)—were used to estimate the capacity of the bus stop. The mean absolute percentage error (MAPE) of the diffusion approximation method is 7.12%, while the MAPEs of the HCM method and M/M/S queuing model are 16.53% and 10.23%, respectively. Therefore, the proposed model is more accurate and reliable than the others. In addition, the influences of traffic intensity, bus arrival rate, coefficient of variation of bus arrival headway, service time, coefficient of variation of service time, and the number of bus berths on the capacity of bus stops are explored by sensitivity analyses.

Study on the Optimal Improvement of the Bus Station

2012 ◽  
Vol 253-255 ◽  
pp. 1776-1781
Author(s):  
Wen Hua Jiang ◽  
Xian Xiang Wang ◽  
Hang Fei Lin
Keyword(s):  
Site Location ◽  
Bus Stop ◽  
Site Layout ◽  
Urban Bus ◽  
Bus Station ◽  
Bus Stops

Starting from several aspects of site location, site size and site layout, this document studies the urban bus stop systematically, proposes the setting principles of urban bus stop. Take Yiwu bus stops for example, which focus on the analysis of the reasonable setting of the sites, and has provided guidance for the layout of urban bus stop.

scholarly journals Análise de Manifestações Patológicas em Recuos das Paradas de Ônibus – Estudo de Caso em Brasília-DF / Analysis of Pathological Manifestations in Bus Stop Recesses - Case Study in Brasília-DF

2021 ◽  
Vol 5 (2) ◽  
pp. 738-753
Author(s):  
Guilherme Augusto Oliveira de Paula ◽  
Pillar Borges Rocha ◽  
Stéfhanny Maria Mendes Marinho ◽  
Bernardo Antonio Silva Ramos ◽  
Matheus Leoni Martins Nascimento
Keyword(s):  
Bus Stop ◽  
Df Analysis

Optimizing School Bus Stop Placement in Howard County, Maryland

2016 ◽  
pp. 1660-1676 ◽  
Author(s):  
Michael Galdi ◽  
Paporn Thebpanya
Keyword(s):  
Travel Time ◽  
Carbon Footprint ◽  
Current System ◽  
School Bus ◽  
School Officials ◽  
Statistical Estimates ◽  
Bus Stop ◽  
Network Analyst ◽  
Bus Stops ◽  
State And Local

In the current system, school bus stops in Howard County, Maryland are manually placed along the school bus routes based on safety, cost-efficiency, and many other variables. With such liberal placement, bus stops are sometimes placed unnecessarily. This issue is prevalent in many school districts and often results in needlessly close bus stop proximity. In this study, the authors implemented a GIS-based heuristic to assist school officials in optimizing their districts bus stop placement. They also estimated the proportion of county-wide bus stops that could be eliminated by this approach. Following the constraints determined by State and local guidelines, the ArcGIS Network Analyst Extension was used to identify unnecessary bus stops across the study area. The initial output was re-evaluated by school officials in order to determine if those bus stops would be eliminated. The results indicate that approximately 30% of the existing bus stops were marked as “candidates for elimination” by the GIS process. After a review of these candidates, it was determined that at least 15% of the total school bus stops could be eliminated. Statistical estimates lent credence to the benefit of a re-evaluation of these bus stops. The method developed in this study can easily be replicated. Hence, it may inspire other school systems to exercise the same approach. Additionally, the results provide a gateway for future studies in examining more efficient school bus routes with less travel time, as well as investigating how much the carbon footprint of school bus fleets can be reduced.

Sign in / Sign up

Export Citation Format

Share Document