Discovery of Public Transportation Patterns Through the Use of Big Data Technologies for Urban Mobility

2019 ◽  
Author(s):  
Hugo Antunes ◽  
Paulo Figueiras ◽  
Ruben Costa ◽  
Joel Teixeira ◽  
Ricardo Jardim-Gonçalves
Keyword(s):  
Big Data ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Areas ◽  
Human Mobility ◽  
Transportation Network ◽  
Transport Network ◽  
Special Focus ◽  
Mobility Patterns ◽  
Big Data Technologies

Abstract Big cities show a wide public transport network that allows people to travel within the cities. However, with the overcrowding of big urban areas, the demand for new mobility strategies has increasing. Every day, citizens need to commute fast, easily and comfortable, which is not always easy due to the complexity of the public transport network. Therefore, this paper aims to explore the ability of Big Data technologies to cope with data collected from public transportation, by inferring automatically and continuously, complex mobility patterns about human mobility, in the form of insightful indicators (such as connections, transshipments or pendular movements), creating a new perspective in public transports data analytics. With special focus on the Lisbon public transport network, the challenge addressed by this work, is to analyze the demand and supply side of transportation network of Lisbon metropolitan area, considering ticketing data provided by the different transportation operators, which until now were essentially obtained through observation methods and surveys.

scholarly journals Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologies

2020 ◽  
Author(s):  
Miguel Ribeiro ◽  
Nuno Nunes ◽  
Valentina Nisi ◽  
Johannes Schöning
Keyword(s):  
Public Transportation ◽  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Tracking System ◽  
Human Mobility ◽  
Transportation Systems ◽  
Mobility Patterns ◽  
Systematic Analysis ◽  
Long Term Study

Abstract In this paper, we present a systematic analysis of large-scale human mobility patterns obtained from a passive Wi-Fi tracking system, deployed across different location typologies. We have deployed a system to cover urban areas served by public transportation systems as well as very isolated and rural areas. Over 4 years, we collected 572 million data points from a total of 82 routers covering an area of 2.8 km2. In this paper we provide a systematic analysis of the data and discuss how our low-cost approach can be used to help communities and policymakers to make decisions to improve people’s mobility at high temporal and spatial resolution by inferring presence characteristics against several sources of ground truth. Also, we present an automatic classification technique that can identify location types based on collected data.

scholarly journals Open Tools for Analysis of Elements Related to Public Transport Performance. Case Study: Tram Network in Bucharest

2021 ◽  
Vol 11 (21) ◽  
pp. 10346
Author(s):  
Liliana Andrei ◽  
Oana Luca
Keyword(s):  
Open Source Software ◽  
Public Transport ◽  
Public Transportation ◽  
Transportation Network ◽  
Transport Network ◽  
Residential Areas ◽  
Large Cities ◽  
The Public ◽  
Transport Vehicle

The present paper aims to be useful for public transport operators and municipalities, as it should enable them to make decisions and to optimize public transport schedules during peak hours. In this study, we outline the data and the means necessary for the creation and use of a specific database for a dynamic spatial analysis of the public transportation network. This will facilitate the analysis of public transport vehicle operating programs and the simulation of new transport programs using open-source software. This paper delivers the first digital map of the public transport in Bucharest. Using the QGIS software and the PostgresSQL database, (i) we analyzed the accessibility of public transport stops for residential areas (5-min isochrones, corresponding to walking distances of 400 m), and (ii) we determined the correlation of transport vehicle programs with the existing transport network to optimize the headway of vehicles. These two elements were considered for the analysis of public transport performance. The research study was based on the tram network in Bucharest, but it can be easily upscaled for the entire public transport network and may be replicated in other large cities.

scholarly journals Peranan Penggunaan Transportasi Publik di Perkotaan (Studi Kasus Penggunaan Kereta Commuterline Indonesia Rute Jakarta-Bekasi)

2019 ◽  
Vol 5 (2) ◽  
pp. 1-8
Author(s):  
Hendra Wijayanto
Keyword(s):  
Population Growth ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Areas ◽  
Human Mobility ◽  
Complex Solution ◽  
Transportation Services ◽  
Transportation Problems ◽  
Important Means ◽  
Big Cities

Public transport is an important means of development for life. The importance of transportation is reflected in the increasing need for transportation services for human mobility and goods as a result of the increasing population growth and the development of settlements in big cities. One type of transportation that can be used as an alternative to overcome the problems of public transportation needs above is the train. Trains that are a means of transportation with many advantages such as low pollution, free of traffic, bulk, cheaper cost, and also save time.With the various advantages possessed by the train above, is expected to be a consideration in order to become an increasingly complex solution of transportation problems in urban areas.

scholarly journals Public Transport GPS Probe and Rail Gate Data for Assessing the Pattern of Human Mobility in the Bangkok Metropolitan Region, Thailand

2021 ◽  
Vol 13 (4) ◽  
pp. 2178
Author(s):  
Songkorn Siangsuebchart ◽  
Sarawut Ninsawat ◽  
Apichon Witayangkurn ◽  
Surachet Pravinvongvuth
Keyword(s):  
Performance Assessment ◽  
Public Transport ◽  
Human Mobility ◽  
Open Data ◽  
Capital City ◽  
Metropolitan Region ◽  
Traffic Information ◽  
Mobility Patterns ◽  
Transport Planning ◽  
Java Program

Bangkok, the capital city of Thailand, is one of the most developed and expansive cities. Due to the ongoing development and expansion of Bangkok, urbanization has continued to expand into adjacent provinces, creating the Bangkok Metropolitan Region (BMR). Continuous monitoring of human mobility in BMR aids in public transport planning and design, and efficient performance assessment. The purpose of this study is to design and develop a process to derive human mobility patterns from the real movement of people who use both fixed-route and non-fixed-route public transport modes, including taxis, vans, and electric rail. Taxi GPS open data were collected by the Intelligent Traffic Information Center Foundation (iTIC) from all GPS-equipped taxis of one operator in BMR. GPS probe data of all operating GPS-equipped vans were collected by the Ministry of Transport’s Department of Land Transport for daily speed and driving behavior monitoring. Finally, the ridership data of all electric rail lines were collected from smartcards by the Automated Fare Collection (AFC). None of the previous works on human mobility extraction from multi-sourced big data have used van data; therefore, it is a challenge to use this data with other sources in the study of human mobility. Each public transport mode has traveling characteristics unique to its passengers and, therefore, specific analytical tools. Firstly, the taxi trip extraction process was developed using Hadoop Hive to process a large quantity of data spanning a one-month period to derive the origin and destination (OD) of each trip. Secondly, for van data, a Java program was used to construct the ODs of van trips. Thirdly, another Java program was used to create the ODs of the electric rail lines. All OD locations of these three modes were aggregated into transportation analysis zones (TAZ). The major taxi trip destinations were found to be international airports and provincial bus terminals. The significant trip destinations of vans were provincial bus terminals in Bangkok, electric rail stations, and the industrial estates in other provinces of BMR. In contrast, electric rail destinations were electric rail line interchange stations, the central business district (CBD), and commercial office areas. Therefore, these significant destinations of taxis and vans should be considered in electric rail planning to reduce the air pollution from gasoline vehicles (taxis and vans). Using the designed procedures, the up-to-date dataset of public transport can be processed to derive a time series of human mobility as an input into continuous and sustainable public transport planning and performance assessment. Based on the results of the study, the procedures can benefit other cities in Thailand and other countries.

scholarly journals Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network

2021 ◽  
Vol 13 (12) ◽  
pp. 6949
Author(s):  
Gang Lin ◽  
Shaoli Wang ◽  
Conghua Lin ◽  
Linshan Bu ◽  
Honglei Xu
Keyword(s):  
Sustainable Development ◽  
Public Transport ◽  
Public Transportation ◽  
Evaluation Criteria ◽  
Performance Standards ◽  
Transport Network ◽  
Process Models ◽  
Transport Infrastructure ◽  
Transport Networks ◽  
Ahp Model

To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.

scholarly journals Optimization of Evacuation and Walking-Home Routes from Osaka City After a Nankai Megathrust Earthquake Using Road Network Big Data

2021 ◽  
pp. 369-389
Author(s):  
Atsushi Takizawa ◽  
Yutaka Kawagishi
Keyword(s):  
Big Data ◽  
Public Transportation ◽  
Urban Areas ◽  
Road Network ◽  
Large Earthquake ◽  
The Road ◽  
Return Home ◽  
Flooded Area ◽  
Network Big Data ◽  
Surrounding Areas

AbstractWhen a disaster such as a large earthquake occurs, the resulting breakdown in public transportation leaves urban areas with many people who are struggling to return home. With people from various surrounding areas gathered in the city, unusually heavy congestion may occur on the roads when the commuters start to return home all at once on foot. In this chapter, it is assumed that a large earthquake caused by the Nankai Trough occurs at 2 p.m. on a weekday in Osaka City, where there are many commuters. We then assume a scenario in which evacuation from a resulting tsunami is carried out in the flooded area and people return home on foot in the other areas. At this time, evacuation and returning-home routes with the shortest possible travel times are obtained by solving the evacuation planning problem. However, the road network big data for Osaka City make such optimization difficult. Therefore, we propose methods for simplifying the large network while keeping those properties necessary for solving the optimization problem and then recovering the network. The obtained routes are then verified by large-scale pedestrian simulation, and the effect of the optimization is verified.

Population Levels of Well-Being In a Peri-Urban Area of a Metropolitan Region, A Case Study of Selangor Northern Corridor, Malaysia

2021 ◽  
Vol 12 (3) ◽  
pp. 76-83
Author(s):  
Y. Saleh Et.al
Keyword(s):  
Land Use ◽  
Public Transportation ◽  
Urban Areas ◽  
Transportation Network ◽  
Simple Random Sampling ◽  
Well Being ◽  
Metropolitan Region ◽  
Socioeconomic Environment ◽  
Human Needs ◽  
Study Results

This article seeks to identify the levels of well-being of residents of Selangor Northern Corridor, Lembah Klang-Langat Extended Metropolitan Region (EMR). The study involved 400 respondents consisting of the heads of household in peri-urban areas of Selangor Northern Corridor of Lembah Klang-Langat EMR. Respondents were selected via a simple random sampling method. A 1-5 Likert scale questionnaire was used as a research instrument. Based on the well-being index, a variety of variables involving well-being were listed, although the author of this study used four variables, namely housing, transportation, socioeconomic environment and land use. The housing variable consisted of three sub-variables, comprising area selection, safety and facilities. The transport variable included two sub-variables: public transportation and transportation network. The socioeconomic variables society and economy, while the sub-variables for land use were types of activities and property ownership. The study results indicate that the questionnaire’s reliability level was acceptable as the Cronbach’s alpha value of each variable exceeded 0.8. Transportation and socioeconomic environment stood at high levels, while housing and land use were at moderate levels. These findings demonstrate that the level of some of the community’s well-being was high or moderate due to urban sprawl. This means that humans will adapt to the environment in various ways so that it can accord with human needs.

scholarly journals Cairo Public Transport Route Finder – A Pilot System

2016 ◽  
Vol 4 (4) ◽  
pp. 26
Author(s):  
Khaled Ahmed Ahmed Mohamed Hassan ◽  
Ghada Nasr Hassan
Keyword(s):  
Shortest Path ◽  
Public Transport ◽  
Public Transportation ◽  
Transportation Network ◽  
Android Application ◽  
Network Graph ◽  
The Public ◽  
Shortest Route ◽  
Greater Cairo ◽  
Starting Location

Aiming to facilitate the choice of transport links leading from a starting location to a destination in greater Cairo, we propose in this work a public transportation mobile (android) application to assist users of public transport. The system is a pilot application that considers the public mini-buses network in three areas of Cairo, and builds the database of the mini-bus network verified on the ground. From this database, the transportation network graph consisting of nodes and possible links between them is constructed. Upon request, the system then identifies the series of public transport possible, calculates the shortest path between the two chosen locations, and displays the bus, or series of buses, and the routes to the user, ordered by distance. The specialized algorithm Dijkstra was implemented to find the shortest route.

scholarly journals Personalization as a promise: Can Big Data change the practice of insurance?

2020 ◽  
Vol 7 (1) ◽  
pp. 205395172093514 ◽  
Author(s):  
Laurence Barry ◽  
Arthur Charpentier
Keyword(s):  
Big Data ◽  
Predictive Analytics ◽  
Special Focus ◽  
New Paradigm ◽  
Individual Level ◽  
Big Data Technologies ◽  
State Of Research ◽  
The Individual ◽  
Homogeneity Hypothesis ◽  
The Impact

The aim of this article is to assess the impact of Big Data technologies for insurance ratemaking, with a special focus on motor products.The first part shows how statistics and insurance mechanisms adopted the same aggregate viewpoint. It made visible regularities that were invisible at the individual level, further supporting the classificatory approach of insurance and the assumption that all members of a class are identical risks. The second part focuses on the reversal of perspective currently occurring in data analysis with predictive analytics, and how this conceptually contradicts the collective basis of insurance. The tremendous volume of data and the personalization promise through accurate individual prediction indeed deeply shakes the homogeneity hypothesis behind pooling. The third part attempts to assess the extent of this shift in motor insurance. Onboard devices that collect continuous driving behavioural data could import this new paradigm into these products. An examination of the current state of research on models with telematics data shows however that the epistemological leap, for now, has not happened.

Sign in / Sign up

Export Citation Format

Share Document