Topological evolution of public transportation network: A case study of Bangkok rail transit network

2018 ◽  
Author(s):  
Pijaya Na Bangxang ◽  
Pisit Jarumaneeroj
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Rail Transit ◽  
Transit Network ◽  
Topological Evolution ◽  
Public Transportation Network

scholarly journals Optimal Route Computation for Public Transport with Minimum Travelling Time & Travel Cost: A Case Study of Pokhara City

2019 ◽  
Vol 1 (1) ◽  
pp. 79-86
Author(s):  
R. Thapa ◽  
J.K. Shrestha
Keyword(s):  
Travel Time ◽  
Shortest Path ◽  
Public Transportation ◽  
Transportation Network ◽  
Optimal Path ◽  
Travel Cost ◽  
Transit Network ◽  
Final Destination ◽  
Travelling Time

In road networks, it is imperative to discover a shortest way to reach the final destination. When an individual is new to a place, lots of time is wasted in finding the destination. With the advancement of technology, various navigation applications have been developed for guiding private vehicles, but few are designed for public transportation. This study is solely concentrated on finding the possible shortest path in terms of minimum time and cost to reach specific destination for an individual. It requires an appropriate algorithm to search the shortest path. With the implementation of Dijkstra’s algorithm, the shortest path with respect to minimum travel time and travel cost was computed. Public transportation network of Pokhara city was taken for the case study of this research. The results of this analysis indicated that when the “time” impedance was used by the algorithm, it generated the shortest path between the origin and destination along with the path to be followed. This study formulates a framework for generating itinerary for passengers in a transit network that allows the user to find the optimal path with minimum travel time and cost.

scholarly journals Perceived Trip Time Reliability and Its Cost in a Rail Transit Network

2021 ◽  
Vol 13 (13) ◽  
pp. 7504
Author(s):  
Jie Liu ◽  
Paul Schonfeld ◽  
Jinqu Chen ◽  
Yong Yin ◽  
Qiyuan Peng
Keyword(s):  
Regression Models ◽  
Influential Factors ◽  
Rail Transit ◽  
Linear Regression Models ◽  
Transit Network ◽  
Time Index ◽  
Trip Time ◽  
Buffer Time ◽  
Transfer Times

Time reliability in a Rail Transit Network (RTN) is usually measured according to clock-based trip time, while the travel conditions such as travel comfort and convenience cannot be reflected by clock-based trip time. Here, the crowding level of trains, seat availability, and transfer times are considered to compute passengers’ Perceived Trip Time (PTT). Compared with the average PTT, the extra PTT needed for arriving reliably, which equals the 95th percentile PTT minus the average PTT, is converted into the monetary cost for estimating Perceived Time Reliability Cost (PTRC). The ratio of extra PTT needed for arriving reliably to the average PTT referring to the buffer time index is proposed to measure Perceived Time Reliability (PTR). To overcome the difficulty of obtaining passengers’ PTT who travel among rail transit modes, a Monte Carlo simulation is applied to generated passengers’ PTT for computing PTR and PTRC. A case study of Chengdu’s RTN shows that the proposed metrics and method measure the PTR and PTRC in an RTN effectively. PTTR, PTRC, and influential factors have significant linear relations among them, and the obtained linear regression models among them can guide passengers to travel reliably.

Transit networks, social contacts and open data meet public transportation plans for post-COVID-19: A Canadian case study

2021 ◽  
Author(s):  
Oliver Benning ◽  
Jonathan Calles ◽  
Burak Kantarci ◽  
Shahzad Khan
Keyword(s):  
Public Transportation ◽  
Population Distribution ◽  
Open Data ◽  
Practical Method ◽  
Municipal Services ◽  
Transit Network ◽  
Research Findings ◽  
Pandemic Response ◽  
The Impact

This article presents a practical method for the assessment of the risk profiles of communities by tracking / acquiring, fusing and analyzing data from public transportation, district population distribution, passenger interactions and cross-locality travel data. The proposed framework fuses these data sources into a realistic simulation of a transit network for a given time span. By shedding credible insights into the impact of public transit on pandemic spread, the research findings will help to set the groundwork for tools that could provide pandemic response teams and municipalities with a robust framework for the evaluations of city districts most at risk, and how to adjust municipal services accordingly.

Simulating individual work trips for transit-facilitated accessibility study

2017 ◽  
Vol 46 (1) ◽  
pp. 84-102 ◽  
Author(s):  
Ruihong Huang
Keyword(s):  
Inner City ◽  
Public Transportation ◽  
Road Network ◽  
Agent Based ◽  
Census Tracts ◽  
Transit Network ◽  
Demographic Profiles ◽  
Individual Work ◽  
Job Opportunities

To measure job accessibility, person-based approaches have the advantage to capture all accessibility components: land use, transportation system, individual’s mobility and travel preference, as well as individual’s space and time constraints. This makes person-based approaches more favorable than traditional aggregated approaches in recent years. However, person-based accessibility measures require detailed individual trip data which are very difficult and expensive to acquire, especially at large scales. In addition, traveling by public transportation is a highly time sensitive activity, which can hardly be handled by traditional accessibility measures. This paper presents an agent-based model for simulating individual work trips in hoping to provide an alternative or supplementary solution to person-based accessibility study. In the model, population is simulated as three levels of agents: census tracts, households, and individual workers. And job opportunities (businesses) are simulated as employer agents. Census tract agents have the ability to generate household and worker agents based on their demographic profiles and a road network. Worker agents are the most active agents that can search jobs and find the best paths for commuting. Employer agents can estimate the number of transit-dependent employees, hire workers, and update vacancies. A case study is conducted in the Milwaukee metropolitan area in Wisconsin. Several person-based accessibility measures are computed based on simulated trips, which disclose low accessibility inner city neighborhoods well covered by a transit network.

KVMRT Challenges – Elevated Viaducts and Station Structures

2018 ◽  
Author(s):  
ChongLing Wong
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Economic Trend ◽  
Capital City ◽  
Project Delivery ◽  
Rail Transit ◽  
Kuala Lumpur ◽  
Transit System ◽  
The Public ◽  
Klang Valley

<p>Malaysia’s capital city Kuala Lumpur has been experiencing urbanization growth spurts in the last two decades, in tandem with her rapid economic expansion and progress towards a developed nation. Trailing this economic trend is the need to improve and expand public transportation, particularly in the railway sector. The Klang Valley Mass Rapid Transit (KVMRT) rail transit system was conceived to meet that need and complement the existing public transportation network.</p><p>The first KVMRT metro line commonly known as the SBK line which connects Sg Buloh township in the northern-west and Kajang in the southern-east, was delivered and fully opened to the public ahead of schedule on 17 July 2017. The success of the project was achieved through significant efforts in surmounting many challenges in different aspects. This paper shares the experiences from the perspective of the Project Delivery Partner (PDP) in the planning, design and construction of the viaducts and station structures.</p>

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