Method to Estimate Passenger Flow Using Stored Ticket Gate Data

Myojo, Shuichi

doi:10.2219/rtriqr.47.178

Cited by 6 publications

(6 citation statements)

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“…Data from Asociaţia Naţională a Agenţiilor de Turism Caraş--Severin (2012) were very useful in showing the origin and destination of tourists in the studied area during 2011. For the third approach, the railways ticketing offices of SNTFC -Călători SA offered data on passenger flows (SNTFC 2012) and we followed the method of Estimated Passenger Flows (Myojo 2006). We considered a sample of flows counting using the OD (Origin and Destination) pairs in each partitioned period of a day, during April 4-10, 2012.…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

“…Following the railway estimated passenger flows method (Myojo 2006), we found that the OD pair totally belonging to the corridor (Caransebeş-Orşova/Orşova-Caransebeş) has a very high proportion of daily transit passengers (Table 2). This is due to including transit railway connections (Timişoara-Bucharest/Bucharest-Timişoara) in our study.…”

Section: Discussing the Functionalities Of The Timiş-cerna Anisotropymentioning

confidence: 99%

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Anisotropic spaces in Romania: a case study of the Timiş-Cerna Corridor

Creţan¹,

Jucu²,

Antoni³

2016

AGS

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This paper presents a critical discussion of Romania's south-west, analyzing the proposal that the Timiş-Cerna Corridor should be systemically considered anisotropic. The aim of our paper is to test the possible anisotropic matrix system by using a methods approach based on interpreting human and material mobilities in the area. We use the theoretical framework of regional geography in a systemic context and specifically the concept of anisotropy defined as a territorial anomaly in homogenous and polarized regions, in order to reveal the social and physical relations in which anisotropy is embedded. Our results show that the Timiş-Cerna Corridor is an anisotropic area fitting the structural system of this specific type of space as the dynamics of flows inside the axis are asymmetrical, generating disparities, while transit flows are predominant.

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Section: Methods and Data Sourcesmentioning

confidence: 99%

Section: Discussing the Functionalities Of The Timiş-cerna Anisotropymentioning

confidence: 99%

Anisotropic spaces in Romania: a case study of the Timiş-Cerna Corridor

Creţan¹,

Jucu²,

Antoni³

2016

AGS

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“…However, due to strict privacy laws in Japan this data is not available to third parties, even in summary. The use of automated fare collection systems for public transportation opens the potential for O-D data limited to the train or bus systems (Myojo 2006;Li et al 2011;Sels et al 2011;Munizaga et al 2014), but access to the anonymized data is strictly controlled, very expensive, and fragmented into various rail/bus companies. No matter how the choice set models are created and calibrated, to make predictions of future and/or contingent traffic flow, O-D trips are stochastically generated from the models (Romanos and Saidane 1978;Rieser-Schüssler et al 2013;Huang and Levinson 2015).…”

Section: Stochastically Generated Tripsmentioning

confidence: 99%

Social and economic flows across multimodal transportation networks in the Greater Tokyo Area

Bramson

Hori²,

Zha³

et al. 2020

Appl Netw Sci

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We model the flow of human capital and resources across multimodal transportation networks throughout the Greater Tokyo Area. Our transportation networks include trains, buses, and roads integrated with a walking network among a geographically grounded hexagonal grid and connecting nodes of different modes. The hexagonal grid holds data on both the working population and number of jobs from which we built probability distributions for the origins and destinations of commuting trips. Using both the network simplex method and stochastically generated origin-destination trips we estimate the population flows necessary to satisfy this demand. Rather than micro-simulations of actual commuting patterns, congestion, or route planning, our approach aims to uncover patterns in the aggregate flow of human resources to and from economic opportunities. We describe the details of the socioeconomic data, network generation, and the results of our exploratory analysis, then discuss the implications of these findings for transportation usage and future work.

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“…Previous studies usually apply this method to urban railway systems where detailed system logs of ticket gates are available. For example, Myojo [4,5] proposed a model to estimate passenger flow in a large and complicated urban railway network using origin-destination (OD) matrix data from ticket gates. The passengers' route choices (including trains and train lines) were determined by a logit model (A similar approach can also be found in Hirai and Tomii [2]).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In contrast to the macroscopic models proposed by Myojo [4,5] and Nagasaki et al [6], Barry et al [1] proposed a microscopic methodology to estimate OD tables from the AFC records of MetroCard in New York City. The results were used for other purpose such as traffic assignment in transportation planning model.…”

Section: Literature Reviewmentioning

confidence: 99%

The simulation of passengers’ time-space characteristics using ticket sales records with insufficient data

Jong¹,

Chang²

2010

WIT Transactions on the Built Environment

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It is a very common approach for any business to analyze their historical sales records to adjust operation strategy. Recently, Taiwan Railway Administration, a government-owned railway operator, faces serious competitions from other transportation systems. It becomes very urgent for the operator to modify its timetables to meet demand patterns for increasing revenue. The key issue is how to estimate passengers' time-space characteristics. For railroads with advanced automatic fare collection systems and simple service patterns, the estimation of passenger flow may not be difficult since detailed travel information is available. However, for systems with mixed traffic and insufficient ticket sales records, it requires a scientific method to deduce actual travel patterns from limited information. This study tried to establish such a model to reconstruct the timespace distribution of passenger flow. The model has been applied to Taiwan Railway Administration to estimate passenger flow. The result is very useful for decision makers to assess the utilization of train capacities and to adjust service plans, such as adding/deleting train services, changing stopping patterns, or modifying service termini. The proposed model can be applied to other railroads with mixed traffic operations and insufficient ticket sales records.

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Method to Estimate Passenger Flow Using Stored Ticket Gate Data

Cited by 6 publications

References 1 publication

Anisotropic spaces in Romania: a case study of the Timiş-Cerna Corridor

Anisotropic spaces in Romania: a case study of the Timiş-Cerna Corridor

Social and economic flows across multimodal transportation networks in the Greater Tokyo Area

The simulation of passengers’ time-space characteristics using ticket sales records with insufficient data

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