scholarly journals Understanding public transit patterns with open geodemographics to facilitate public transport planning

2018 ◽  
Vol 16 (1) ◽  
pp. 76-103 ◽  
Author(s):  
Yunzhe Liu ◽  
Tao Cheng
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Transport Planning

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 Understanding Users’ Satisfaction Towards Public Transit System in India: A Case-Study of Mumbai

2021 ◽  
Vol 10 (3) ◽  
pp. 155
Author(s):  
Rahul Das
Keyword(s):  
Service Quality ◽  
Public Transport ◽  
Travel Demand ◽  
Resource Constraints ◽  
Public Transit ◽  
Sampling Bias ◽  
Relevant Information ◽  
Transit System ◽  
Transport Services ◽  
Developing Cities

In this work, we present a novel approach to understand the quality of public transit system in resource constrained regions using user-generated contents. With growing urban population, it is getting difficult to manage travel demand in an effective way. This problem is more prevalent in developing cities due to lack of budget and proper surveillance system. Due to resource constraints, developing cities have limited infrastructure to monitor transport services. To improve the quality and patronage of public transit system, authorities often use manual travel surveys. But manual surveys often suffer from quality issues. For example, respondents may not provide all the detailed travel information in a manual travel survey. The survey may have sampling bias. Due to close-ended design (specific questions in the questionnaire), lots of relevant information may not be captured in a manual survey process. To address these issues, we investigated if user-generated contents, for example, Twitter data, can be used to understand service quality in Greater Mumbai in India, which can complement existing manual survey process. To do this, we assumed that, if a tweet is relevant to public transport system and contains negative sentiment, then that tweet expresses user’s dissatisfaction towards the public transport service. Since most of the tweets do not have any explicit geolocation, we also presented a model that does not only extract users’ dissatisfaction towards public transit system but also retrieves the spatial context of dissatisfaction and the potential causes that affect the service quality. It is observed that a Random Forest-based model outperforms other machine learning models, while yielding 0.97 precision and 0.88 F1-score.

Sustainable Transport System

2016 ◽  
pp. 259-287 ◽  
Author(s):  
Maria Spichkova ◽  
Margaret Hamilton
Keyword(s):  
Greenhouse Gases ◽  
Transport System ◽  
Public Transport ◽  
Environmental Sustainability ◽  
Spatial Planning ◽  
Environmental Issues ◽  
Transport Systems ◽  
Sustainable Transport ◽  
Transport Planning ◽  
On Demand

Transport systems are major emitters of greenhouse gases, which makes environmental sustainability of any transport a crucial issue. Another issue is the lack of a systematic approach to the modeling and implementation of public transport systems. Finally, there are problems with the human interfaces to public transport systems, which do not encourage, and many do not allow, comfortable and simple interaction with the system. In this chapter, the authors discuss their solutions for these problems, explaining how to cover the existing gaps in a methodological and systematic way. The main contribution of this chapter is a model of an on-demand transport system that covers all the points mentioned above and focuses on spatial planning and optimizations including environmental issues in transport planning.

The Role of Mass Transport for Sustainable Public Transit in Developing Cities

2018 ◽  
pp. 416-442
Author(s):  
Belew Dagnew Bogale
Keyword(s):  
Public Transport ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Public Transit ◽  
Addis Ababa ◽  
Sustainable Transportation ◽  
The Public ◽  
Developing Cities ◽  
Recent Project ◽  
Transit Performance

The need for an efficient public mass transportation system in the context of developing countries can well be overemphasized since a majority of the urban population continues to be either captive walkers or users of the public transport facility. In Addis Ababa, inadequacy of public transit and improper traffic management issues are dominant problems. Evidence indicates that solutions related to traffic congestion and accidents are still left behind the city. However, it is expected that the recent project interventions and initiatives will enhance the capability of the public transit to deliver effective and sustainable transportation. This chapter evaluates the public transit performance, the initiatives towards terminals, and the future models for implementation. It concludes that an integrated public mass transit system is vital to a sustainable future public transport in developing cities in general and in Addis Ababa in particular. Recommendations are forwarded in the chapter.

Modelling Urban Public Transit Users' Route Choice Behaviour

2011 ◽  
pp. 134-146
Author(s):  
Yulin Lee ◽  
Jonathan Bunker ◽  
Luis Ferreira
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Route Choice ◽  
User Equilibrium ◽  
Urban Transport ◽  
Transit Assignment ◽  
The Road ◽  
Transit Route ◽  
The 1960S ◽  
Assignment Models

Public transport is one of the key promoters of sustainable urban transport. To encourage and increase public transport patronage it is important to investigate the route choice behaviours of urban public transit users. This chapter reviews the main developments of modelling urban public transit users’ route choice behaviours in a historical perspective, from the 1960s to the present time. The approaches reviewed for this study include the early heuristic studies on finding the least-cost transit route and all-or-nothing transit assignment, the bus common lines problem, the disaggregate discrete choice models, the deterministic and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models. This chapter also provides an outlook for the future directions of modelling transit users’ route choice behaviours. Through the comparison with the development of models for motorists’ route choice and traffic assignment problems, this chapter advocates that transit route choice research should draw inspiration from the research outcomes from the road area, and that the modelling practice of transit users’ route choice should further explore the behavioural complexities.

scholarly journals Emerging from the ‘worst’: An ethnography of the modern Filipino commuting culture behind the Metro Manila traffic crisis

2019 ◽  
Vol 272 ◽  
pp. 01032
Author(s):  
A J Fallaria ◽  
R de Jesus ◽  
M Carpio ◽  
F L Jacinto ◽  
L De Leon ◽  
...  
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Participant Observation ◽  
Coping Mechanisms ◽  
Summary Report ◽  
Public Officials ◽  
Metro Manila

Metropolitan Manila has become the world’s ‘worst’ in terms of its traffic scenarios and such crisis left an impact to the commuters which has led to the emergence of the modern Filipino commuting culture. The ethnography utilized covert participant observation in which the researchers immersed themselves in the culture and experience the activities of the commuting culture. They also conducted personal and synchronous interview to the participants involved. The findings of the study are summarized through five emergent themes which represent the roots of the culture’s existence, the commuters’ preferences on public transit modes, the features of Metro Manila commuting experiences, the coping mechanisms and adjustments done by commuters, and the desires and decisions for commuting experiences, respectively. Also, the mentioned culture reflected the Filipino values such as patience, crab mentality, and the misused value of resilience. The findings ended with a concrete recommendation to establish an Internet-based platform for Metro Manila commuters and a summary report intended for public transport stakeholders and public officials.

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