scholarly journals Internet GIS-Based Multimodal Public Transport Trip Planning Information System for Travelers in Lithuania

2019 ◽  
Vol 8 (8) ◽  
pp. 319 ◽  
Author(s):  
Jakimavičius ◽  
Palevičius ◽  
Antuchevičiene ◽  
Karpavičius

The main purpose of this research is to present the developed VINTRA system, a comprehensive solution to a fully developed public transit system in Lithuania, and it is very important in encouraging travelers to use public transport. VINTRA is not simply a trip planner; it is capable of planning multimodal public transport trips, using different parameters in public transport trip planning. This system has the functionality to create and edit public transport route trajectories and to edit and calculate timetables according to the distance between stops. This research presents the public transport trip planning parameters procedure of the calculated walking route directions, integrated with the calculation results of public transit routes, as well as combining visualization in digital maps. This paper also discusses how route-planning systems could perform data exchange based on General Transit Feed Specification and how assessment of the public transport trip planning results, compared to the VINTRA system created with Google, was performed.

2021 ◽  
Vol 10 (3) ◽  
pp. 155
Author(s):  
Rahul Das

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.


2015 ◽  
Vol 2531 (1) ◽  
pp. 170-179 ◽  
Author(s):  
Alex Karner ◽  
Aaron Golub

Understanding the equity effects of transit service changes requires good information about the demographics of transit ridership. Onboard survey data and census data can be used to estimate equity effects, although there is no clear reason to conclude that these two sources will lead to the same findings. Guidance from the FTA recommends the use of either of these data sources to estimate equity impacts. This study made a direct comparison of the two methods for the public transit system in the Phoenix, Arizona, metropolitan area. The results indicated that although both sources were acceptable for FTA compliance, the use of one or the other could affect whether a proposed service change was deemed equitable. In other words, the outcome of a service change equity analysis could differ as a result of the data source used. To ensure the integrity and meaning of such analyses, FTA should recommend the collection and use of ridership data for conducting service change analyses to supplement approaches that are based on census data.


Author(s):  
Julián Rojas ◽  
Bert Marcelis ◽  
Eveline Vlassenroot ◽  
Mathias Van Compernolle ◽  
Pieter Colpaert ◽  
...  

Chapter 8 in the edited volume Situating Open Data.


2014 ◽  
Vol 24 (2) ◽  
pp. 237-248 ◽  
Author(s):  
Jones Chuang ◽  
Peter Chu

This research contributes to the improvement of the optimal headway solution for the transit performance functions (e. g., minimize total cost; maximize social welfare) derived from the traffic model proposed by Hendrickson. The purpose of this paper is threefold. First, we prove that that model has a unique solution for headway. Second, we offer a formulated approximation for headway. Third, numerical examples illustrate that our formulated approximation performs more accurately than the Hendrickson?s.


Author(s):  
Belew Dagnew Bogale

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.


2012 ◽  
Vol 209-211 ◽  
pp. 645-649
Author(s):  
Liang Guo ◽  
Hui He ◽  
Ling Ling Chen

For the contradiction between the current urban public transport system and land use status in many small and medium-sized cities, the purpose of the paper is to present the counterplan framework of the land using mode and to provide mechanism and ensuring for the land using mode that matches the conventional public transit system.


Transport ◽  
2020 ◽  
Vol 35 (2) ◽  
pp. 156-167
Author(s):  
Abhishek Basu ◽  
Bharathi Raja ◽  
Rony Gracious ◽  
Lelitha Vanajakshi

This paper reports the development of a public transport trip planner to help the urban traveller in planning and preparing for his commute using public transportation in the city. A Genetic Algorithm (GA) approach that handles real-time Global Positioning Systems (GPS) data from buses of the Metropolitan Transport Corporation (MTC) in Chennai City (India) has been used to develop the planner. The GA has been shown to provide good solutions within the problem’s computation time constraints. The developed trip planner has been implemented for static network data first and subsequently extended to use real-time data. The “walk mode” and Chennai Mass Rapid Transit System (MRTS) have also been included in the geospatial database to extend the route-planner’s capabilities. The algorithm has subsequently been segmented to speed up the prediction process. In addition, a temporal cache has also been introduced during implementation, to handle multiple queries generated simultaneously. The results showed that there is promise for scalability and citywide implementation for the proposed real-time route-planner. The uncertainty and poor service quality perceived with public transport bus services in India could potentially be mitigated by further developments in the route-planner introduced in this paper.


2020 ◽  
Vol 41 (2) ◽  
pp. 134-159
Author(s):  
Jan Ploeger ◽  
Ruth Oldenziel

The search for “smart” or Information and Communication Technology (ICT) based mobility solutions goes back to at least the 1960s. The Provo anarchist Luud Schimmelpennink is well-known for designing mobility solutions and for being the driving force behind the 1965 “white-bike” experience. Less known is his 1968 project for shared electric cars (“Witkar”), which laid the foundations for the ICT-based bicycle sharing systems as we know today. By combining his talent for innovation with activism, he created a socially embedded design that could be part of the public transit system. Based on primary sources, we argue that these sociotechnical experiences paved the way for today’s mainstream bicycle sharing projects worldwide. We then show how since the 1990s, the Dutch railroad’s public transit bicycle (OV-fiets) has transformed Schimmelpennink’s original anarchist idea of bike sharing into a sustainable public transit system – a feat that has eluded other programmes worldwide: the integration of the bicycle’s share in a door-to-door experience.


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