Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions
The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
Transit OD matrix estimation using smartcard data: Recent developments and future research challenges
In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …
which in turn generate massive data. During the last two decades, a tremendous amount of …
A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method
L He, B Agard, M Trépanier - Transportmetrica A: Transport …, 2020 - Taylor & Francis
ABSTRACT A classification of the behavior of smart card users is important in the field of
public transit demand analysis. It provides an understanding of people's sequence of …
public transit demand analysis. It provides an understanding of people's sequence of …
Sustainable Mobility as a Service: Demand analysis and case studies
G Musolino - Information, 2022 - mdpi.com
Urban mobility is evolving today towards the concept of Mobility as a Service (MaaS). MaaS
allows passengers to use different transport services as a single option, by using a digital …
allows passengers to use different transport services as a single option, by using a digital …
Profiling tourists' use of public transport through smart travel card data
Data collected through smart travel cards in public transport networks have become a
valuable source of information for transport geography studies. During the last two decades …
valuable source of information for transport geography studies. During the last two decades …
An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide
V Taecharungroj - Travel Behaviour and Society, 2022 - Elsevier
Urban rail transit networks (URTNs) are essential for sustainability, equity and liveability of
cities worldwide. Recent studies have explored ways in which URTNs can improve traveller …
cities worldwide. Recent studies have explored ways in which URTNs can improve traveller …
Intelligent total transportation management system for future smart cities
Smart mobility and transportation, in general, are significant elements of smart cities, which
account for more than 25% of the total energy consumption related to smart cities. Smart …
account for more than 25% of the total energy consumption related to smart cities. Smart …
How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical …
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis.
For decades, transportation researchers have mostly used data obtained by active …
For decades, transportation researchers have mostly used data obtained by active …
Explaining and predicting station demand patterns using google popular times data
Abstract Google Popular Times (GPT) data are a novel data source that is open to the public,
accessible in real time and available in many cities around the world. We aim to explain and …
accessible in real time and available in many cities around the world. We aim to explain and …
[PDF][PDF] Applications of transit smart cards beyond a fare collection tool: a literature review
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 …
Their main goal is to gather revenue in a more efficient way. In addition to this purpose, they …