Mahmoud Mesbah

Mahmoud Mesbah
Amirkabir University of Technology | TUS · Department of Civil and Environmental Engineering

Doctor of Philosophy

About

100
Publications
22,462
Reads
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1,620
Citations
Citations since 2016
60 Research Items
1454 Citations
2016201720182019202020212022050100150200250300
2016201720182019202020212022050100150200250300
2016201720182019202020212022050100150200250300
2016201720182019202020212022050100150200250300
Additional affiliations
January 2016 - present
The University of Queensland
Position
  • Professor (Associate)
February 2011 - December 2015
The University of Queensland
Position
  • Lecturer
March 2010 - February 2011
Monash University (Australia)
Position
  • Research Associate

Publications

Publications (100)
Article
In order to improve public transit as a customer-oriented service, it is essential to evaluate service quality from the customers' perspective. Various groups of passengers perceive service quality differently based on their demographic and trip characteristics. In addition to a naïve market segmentation which is based on pre-defined groups, this s...
Article
Service providers must understand customers’ preferences to improve public transportation market share. Indeed, most public transportation customer satisfaction literature has focused on developed countries, and there are considerable differences between the available modes and the expectations of public transportation users in developed and develo...
Article
Full-text available
A great number of urban residents uses public transit network to travel and reach their destination. While the public transit network could perform as a valuable medium for advertising purposes, the share of transit advertising in annual advertising spending is low due to the lack of passengers’ profiles. This paper proposes a targeted advertising...
Conference Paper
Origin-Destination (OD) matrices have an essential role in urban transport planning and design. Transport researchers and practitioners have traditionally relied on household travel surveys to estimate necessary OD matrices. In general, travel surveys suffer from small sample sizes and high implementation costs. However, during the last two decades...
Article
Full-text available
The widespread and increased use of smartphones, equipped with the global positioning system (GPS), has facilitated the automation of travel data collection. Most studies on travel mode detection that used GPS data have employed hand-crafted features that may not have the capabilities to detect all complex travel behaviours since their performance...
Article
As data collection costs decrease, transportation systems have shifted from systems requiring data to systems requiring data analysis. Since the accuracy of these data varies with the sources of data collection, acquiring higher-accuracy data from a combination of multiple sources is the main challenge of working with such data. Data fusion is a ve...
Article
Full-text available
In this study, the effect of age, gender, and desired speed (DS) factors on General Motors car-following (CF) behavior was investigated. DS was defined as the speed selected by the driver in free driving situation. A low-level driving simulator was used to collect data. The CF model for each driver was calibrated by genetic algorithm. Gender and DS...
Article
Demand uncertainties are inevitable in transportation networks. The transit priority network design problem over more than a decade of development has been solved under deterministic conditions. This paper proposes a model to find the optimal transit priority scheme in a multimodal transportation network under uncertain demand. This model is formul...
Article
Smart card transactions are known as a rich and continuous source of public transit data, but they miss some important attributes about trips and passengers. One of these missing attributes is the trip purpose attribute. This paper proposes a novel method to infer the trip purpose attribute from the sequences of trips of passengers instead of separ...
Article
Full-text available
Numerous studies have determined the adverse effects of air pollution on the health, welfare, and comfort of humans. More recently, the effects of air pollution on cognitive performance of humans are also focused. However, as a group in direct exposure to air pollution, drivers are rarely studied. The present study aims to evaluate the effect of ai...
Article
Urban commuters and road authorities are interested in knowing how well their city stands when traffic conditions are considered. It is challenging to make a fair comparison among global cities due to the absence of a consistent, publicly accessible, and inexpensive framework. This study proposes a methodology to compare travel time and average spe...
Article
This paper proposes a method to impute the distribution of trip purposes and sociodemographic characteristics of passengers at public transit stops. Firstly, the probability of performing different types of activities around transit stops is calculated considering available land use types, distance to stops, and size of related facilities. Secondly...
Article
How you travel, where, when, and what you do could indicate who you are. This paper discovers a possible social network between public transit passengers and develops a location–time–activity-based friend recommendation (LTAFR) model based on trips and activities of the passengers. First, trips and activities of passengers are reconstructed from th...
Article
Full-text available
This paper describes a practical automated procedure to calibrate and validate a transit assignment model. An optimization method based on particle swarm algorithm is adopted to minimize a defined error term. This error term which is based on the percentage of root mean square error and the mean absolute percent error encompasses deviation of model...
Article
Full-text available
The lack of personal and economic attributes in emerging public transit big data (such as smart card data) is a general issue that needs to be addressed. Passengers in the public transit network are from different socioeconomic classes, and their trip attributes usually depend on their personal and economic attributes. For instance, age as a demogr...
Article
Improving the public transportation system to compete with the private modes requires an understanding of passenger perceptions of the service quality (SQ). In the literature, various models have been developed to identify effective SQ attributes and to assess their relationship with passenger satisfaction. However, most of them either ignore the s...
Article
Full-text available
This paper proposes a model to find the optimal location of autonomous vehicle lanes in a transportation network consisting of both Autonomous Vehicles (AVs) and Human-Driven Vehicles (HDVs) while accounting for the roadway capacity variation. The main contribution of the model is considering a generalized definition of capacity as a function of AV...
Article
Full-text available
Public transport origin–destination (OD) estimation based on smartcard data has increasingly been used for transit network planning, passengers’ behaviour analyses and network demand forecasting. While various OD estimation methods using the trip-chaining approach have been developed in recent years, the validity of these estimation methods has not...
Article
Full-text available
Studies on the quality of service thrive to quantify passenger satisfaction of public transport services which is a key factor in how these services are used. Service quality evaluation is performed by means of objective and subjective approaches. Considering that people are attracted to public transport services based on their own perception, subj...
Conference Paper
Improving the public transportation system in order to compete with the private modes requires an understanding of passengers’ perceptions of the service quality (SQ). In this paper, an ordered logit model considering service quality latent variables is calibrated to model passengers’ satisfaction in Tehran metro line 3. The goal is to identify the...
Article
Public transit networks play a significant role for urban advertisers because a considerable number of residents in urban areas use public transport for their transportation needs. Automated Fare Collection (AFC) systems provide advertisers with valuable records (smart card data) of the boarding and alighting transactions of passengers in the publi...
Article
Full-text available
The pattern of activities by transit passengers and the factors affecting this pattern are recently addressed in the literature. Also, the pattern of trips and the factors affecting trips are the subject of many studies. However, little is known about the correlation between the activity and trip of passengers in the public transit network. This st...
Article
With the increasing demand and range of urban mobility, public transport systems are playing an increasingly important role in providing people with efficient and affordable access to education, employment, markets, and other key services. Public transport planners can predict passenger loads and levels of service by using transit assignment models...
Article
While transit exclusive lanes are statically introduced for anentire day (or for the peak period), the total number and distribution of trips vary fromone hour to another during a day.In this study, a Transit Priority Network Design Problem (TPNDP) under variable demand has been formulated by a bi-level robust optimization approach. At the upper le...
Article
Full-text available
Smart card datasets in the public transit network provide opportunities to analyse the behaviour of passengers as individuals or as groups. Studying passenger behaviour in both spatial and temporal space is important because it helps to find the pattern of mobility in the network. Also, clustering passengers based on their trips regarding both spat...
Conference Paper
Full-text available
Emerging new datasets in the public transit network, such as smart card datasets, are changing the transport research area to a data-rich one. While these datasets include a large number of passenger trips in the network, they miss the socioeconomic attributes of passengers. Estimating the socioeconomic attributes from trip attributes is a way to e...
Article
Full-text available
Estimating longitudinal vehicle speed is required in a wide range of applications from road safety to vehicular emissions modelling. Each vehicle speed estimation method has specific challenges including the high cost of measurement equipment, the small range of vehicle models accessible for performing tests and the low resolution of data in time a...
Article
Public transport planners can predict passenger loads and levels of service by applying the prior knowledge about the transit network and using transit assignment models. The individual travel history data available from automated fare collection (AFC) systems bring the opportunity of understanding the individual's travel behavior, which is necessa...
Article
Passenger waiting time at transit stops is an important component of overall travel time and is perceived to be less desirable than in-vehicle travel time or access time. Therefore, an accurate model to estimate waiting time is necessary to better plan for transit and to improve patronage. The majority of previous studies on waiting time have eithe...
Article
Full-text available
Automated fare collection (AFC) systems have been widely implemented around the world. Their main goal is to gather revenue in a more efficient way. In addition to this purpose, they have multiple indirect benefits to transport researchers. This rich data is obtained from daily transactions that mainly occur when a passenger boards or alights a pub...
Article
A transit assignment model is used to predict passenger loads in order to evaluate existing and future transit network scenarios. One fundamental issue affecting the calibration of a transit assignment model is the amount of data required. The present study is designed to determine the effect of different sample sizes on the accuracy level of the e...
Article
An activity is characterized by its location, time and type. Smart card data include the location and time of boarding and/or alighting transactions within the public transit system. This data can be used to study the spatiotemporal range of the activity as it usually happens between an alighting and the next boarding transaction. This kind of acti...
Article
Full-text available
The accuracy of transit assignment plays an important role in the successful design and operation of a transit system. The majority of previous studies on validating transit assignment models has used limited survey data or has lacked a large-scale multimodal and high quality dataset. Considering the advantages of smart card [automatic fare collect...
Article
Smartphone travel surveys are becoming of central importance in collecting detailed, accurate data of people’s travel activities. As with their conventional survey counterparts, the quality of data collected through these surveys is adversely affected by participants’ non-response and resulting biases. However, little is known about the factors aff...
Article
Although smart card fare data has recently become more prevalent as a rich, comprehensive and continuous source of information, there is still some missing information which inhibits its capability in the research field. One key missing piece of information is the passengers’ trip purpose. This paper investigates the potential of the smart card dat...
Conference Paper
Full-text available
Promoting transit services requires a deep understanding of service quality and in turn factors that affect passenger satisfaction. There are objective and subjective means to evaluate service quality. Since people are attracted to transit services based on their own subjective perception, the judgment provided by transit users is what matters. How...
Conference Paper
Smart card data are increasingly used for transit network planning, passenger behaviour analysis and network demand forecasting. This paper analysed a one-year smart card dataset to investigate the demand variation and passenger travel behaviour. The variability of demand in terms of passenger boarding counts at different periods of the year includ...
Article
Telecommunication companies who face challenges of aging infrastructure need to balance the cost of maintenance with that of providing their services within a service level guarantee. For Telstra, the largest telecommunication company in Australia, this balance is achieved by adopting a passive approach to handle the faults that occur in the networ...
Article
Telecommunication companies who face challenges of aging infrastructure need to balance the cost of maintenance with that of providing their services within a service level guarantee. For Telstra, the largest telecommunication company in Australia, this balance is achieved by adopting a passive approach to handle the faults that occur in the networ...
Article
Previous studies reveal that a loss in Modulus of Resilience (Mr) has an adverse effect on pavement performances. However, no study investigated this during extreme moisture intrusion at granular and subgrade layers, which may be compared with a flooding situation. This study has aimed to assess the impact of change in Mr due to moisture increase o...
Conference Paper
Full-text available
Smartphone travel surveys are becoming of central importance in complementing traditional survey methods, especially for collecting detailed, accurate travel data of special groups, such as young adults. Previous studies have shown the application of smartphone travel surveys in various contexts and discussed their advantages. As occurs with their...
Article
Full-text available
The increasing availability of public transit smart card data has enabled several studies to focus on identifying passengers with similar spatial and/or temporal trip characteristics. However, this paper goes one step further by investigating the relationship between passengers' spatial and temporal characteristics. For the first time, this paper i...
Article
Although several studies observed pavement responses after flooding, no detailed quantification has been done to date. This paper has estimated different pavements’ performances with flooding to identify flood-resilient roads. This was shown through (1) new roughness and rutting-based road deterioration (RD) models, (2) the relationship between cha...
Article
Each road authority requires set maintenance standards and strategies to manage its roads. This paper has achieved that for the Queensland road authority as an example. The 34,000 km road network has been divided in to 27 road groups using pavement type, loading and pavement strength as criteria to set standards and strategies for each of them, whi...
Article
Highway pavements generally perform poorly after flood events. However, no study has addressed this in detail, so the aim of the current research was to evaluate pavement performance before and after a flood. Roughness against time data for the last 10–12 years for 34 000 km of roads in Queensland, Australia, were used to obtain an abrupt jump in r...
Article
Public transport planners are required to make decisions on transport infrastructure and services worth billions of dollars. The decision-making process for transport planning needs to be informed, accountable, and founded on comprehensive, current, and reliable data. One of the major issues affecting the accuracy of the estimated origin-destinatio...
Article
Full-text available
The increasing demand for advanced modelling methods, which can reflect complex travel activities of individuals, requires enhanced travel data collection methods. The introduction of GPS-assisted data collection methods has provided an alternative to the conventional methods of travel data collection. GPS-assisted data collection methods improve t...
Conference Paper
There is a consensus on the importance and value of automatic fare collection (AFC) data in analysing different aspects of public transport. As such combining other data sources such as the General Transit Feed Specification (GTFS) can greatly improve the quality of the analyses and ultimately provide a better understanding of public transport perf...
Article
This paper has derived a preflood road maintenance strategy. It provides an innovative approach by upgrading pavement strength now (Year 1 of the analysis) with a thin overlay, and then evaluating pavement lifecycle performance if a flood comes in different years. An after-flood treatment strategy would also be a part of this strategy package. The...
Article
Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention...
Article
Smartphone travel surveys are able to capture accurate details about individuals' travel behavior. However, extracting the required information (e.g., travel mode and purpose) from the data captured by smartphone applications is relatively complex, particularly when relying on the computational power of smartphones and limiting the communications b...
Conference Paper
Full-text available
Real-time travel time information is important for proactive traffic management and provision of advanced traveller information systems. Although many approaches have been proposed to predict expected travel times, very few studies focus on the prediction of travel time distribution (TTD). The prediction is more challenging when the travel times ha...
Conference Paper
Full-text available
This paper puts forward a method to automatically detect trips/trip-segments based on the instantaneous movement attributes of individuals that can be collected automatically by smartphone sensors. The goal is to enhance the accuracy of collected data by better identifying single mode trips/trip-segments, while minimizing participant’s involvement...
Conference Paper
Smartphone-assisted travel surveys are becoming of central importance in collecting detailed, accurate data of people’s travel activities. As occurs with their conventional survey counterparts, the quality of the data collected through these surveys is adversely affected by participants’ non-response and the resulting biases. However, little is kno...
Article
This paper puts forward a method that automatically detects trips and trip segments with data on the instantaneous movement attributes of individuals that can be collected automatically by smartphone sensors. The goal is to enhance the accuracy of the data collected through the better identification of single-mode trips and trip segments while mini...
Article
Currently, no road authority takes into account flooding in road deterioration (RD) models; as a result, post-flood rehabilitation treatments may be sub-optimal. This paper proposes a new approach to the development of a post-flood maintenance strategy. The recently developed roughness and rutting-based RD models with flooding, by the current autho...
Article
Travel time reliability is an important aspect of bus service quality. Despite a significant body of research on private vehicle reliability, little attention has been paid to bus travel time reliability at the stop-to-stop link level on different types of roads. This study aims to identify and quantify the underlying determinants of bus travel tim...
Article
Full-text available
Bus travel time reliability performance influences service attractiveness, operating costs and system efficiency. Better understanding of the distribution of travel time variability is a prerequisite for reliability analysis. A wide array of empirical studies has been conducted to model distribution of travel times in transport. However, depending...
Article
Full-text available
This paper uses automatic vehicle location (AVL) records to investigate the effect of weather conditions on the travel time reliability of on-road rail transit, through a case study of the Melbourne streetcar (tram) network. The datasets available were an extensive historical AVL dataset as well as weather observations. The sample size used in the...
Article
Full-text available
Travel time reliability is an important aspect of bus service quality. Despite a significant body of research on private vehicle reliability, little attention has been paid to bus travel time reliability at the stop-to-stop link level on different types of roads. This study aims to identify and quantify the underlying determinants of bus travel tim...
Conference Paper
Full-text available
Crowdsourcing has been used widely for the collection of stated preference data (e.g., responses in a survey) by researchers. However, the use of crowdsourcing for collection of revealed preference data (e.g., real-life data collected in natural experiments) is much less common. The study reported in this short (research-in-progress) paper shows ho...
Conference Paper
Full-text available
The promotion of active transport has been considered as a fundamental objective of transport planning policies since it can improve passenger's health, relieve traffic congestion, and reduce air pollution. However, the share of active transport in planning studies has not traditionally been estimated accurate enough. One of the main reasons for th...