Designing Equitable Transit Networks
- URL: http://arxiv.org/abs/2212.12007v2
- Date: Mon, 7 Aug 2023 18:20:36 GMT
- Title: Designing Equitable Transit Networks
- Authors: Sophie Pavia, J. Carlos Martinez Mori, Aryaman Sharma, Philip
Pugliese, Abhishek Dubey, Samitha Samaranayake, Ayan Mukhopadhyay
- Abstract summary: We present a formulation for transit network design that considers different notions of equity and welfare explicitly.
We study the interaction between network design and various concepts of equity and present trade-offs and results based on real-world data from a large metropolitan area in the United States of America.
- Score: 2.2720742607784183
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Public transit is an essential infrastructure enabling access to employment,
healthcare, education, and recreational facilities. While accessibility to
transit is important in general, some sections of the population depend
critically on transit. However, existing public transit is often not designed
equitably, and often, equity is only considered as an additional objective post
hoc, which hampers systemic changes. We present a formulation for transit
network design that considers different notions of equity and welfare
explicitly. We study the interaction between network design and various
concepts of equity and present trade-offs and results based on real-world data
from a large metropolitan area in the United States of America.
Related papers
- Understanding the Structure and Resilience of the Brazilian Federal Road Network Through Network Science [44.99833362998488]
This paper models the federal road network in Brazil as weighted networks.
We aim to unveil its topological characteristics and identify key locations (cities) that play important roles for the country through 75,000 kilometres of roads.
Our findings aim to bring clarity to the overall structure of federal roads in Brazil, thus providing actionable insights for improving infrastructure planning and prioritising resources to enhance network resilience.
arXiv Detail & Related papers (2024-12-20T13:02:50Z) - Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning [4.6289929100615]
We focus on Public Transport (PT) accessibility, i.e., the ease of reaching surrounding points of interest via PT.
We combine state-of-the-art Message Passing Neural Networks (MPNN) and Reinforcement Learning.
We show the efficacy of our method against metaheuristics in a use case representing in simplified terms the city of Montreal.
arXiv Detail & Related papers (2024-10-11T14:16:58Z) - Fair Railway Network Design [10.044230726002153]
In a country, one may want to minimise the sum of travel duration of all inhabitants.
This corresponds to a purely utilitarian view and does not involve any fairness consideration.
On the other hand, a more egalitarian view will allow some people to travel between peripheral cities without having to go through a central city.
arXiv Detail & Related papers (2024-09-03T12:13:05Z) - Differentially Private Data Release on Graphs: Inefficiencies and Unfairness [48.96399034594329]
This paper characterizes the impact of Differential Privacy on bias and unfairness in the context of releasing information about networks.
We consider a network release problem where the network structure is known to all, but the weights on edges must be released privately.
Our work provides theoretical foundations and empirical evidence into the bias and unfairness arising due to privacy in these networked decision problems.
arXiv Detail & Related papers (2024-08-08T08:37:37Z) - COLA: Cross-city Mobility Transformer for Human Trajectory Simulation [44.157114416533915]
We develop a Cross-city mObiLity trAnsformer (COLA) with a dedicated model-agnostic transfer framework.
COLA divides the Transformer into the private modules for city-specific characteristics and the shared modules for city-universal mobility patterns.
Our implemented cross-city baselines have demonstrated its superiority and effectiveness.
arXiv Detail & Related papers (2024-03-04T07:45:29Z) - TransportationGames: Benchmarking Transportation Knowledge of
(Multimodal) Large Language Models [46.862519898969325]
TransportationGames is an evaluation benchmark for assessing (M)LLMs in the transportation domain.
We test the performance of various (M)LLMs in memorizing, understanding, and applying transportation knowledge by the selected tasks.
arXiv Detail & Related papers (2024-01-09T10:20:29Z) - Towards Understanding the Benefits and Challenges of Demand Responsive Public Transit- A Case Study in the City of Charlotte, NC [3.678540247562326]
This study investigates the challenges faced by transit-dependent populations in Charlotte, NC.
Our research initially evaluates critical issues such as extended wait times, unreliable schedules, and limited accessibility.
This evaluation included an analysis of the existing Charlotte Area Transit System (CATS) mobile applications and the exploration of user acceptance for a proposed smart, on-demand transit technology.
arXiv Detail & Related papers (2023-04-09T03:10:36Z) - Equity Scores for Public Transit Lines from Open-Data and Accessibility
Measures [0.3058685580689604]
Current transit suffers from an evident inequity: the level of service of transit in suburbs is much less satisfying than in city centers.
To achieve sustainability goals and reduce car-dependency, transit should be (re)designed around equity.
arXiv Detail & Related papers (2022-09-30T22:58:11Z) - Identifying the Factors that Influence Urban Public Transit Demand [0.0]
The rise in urbanization throughout the United States (US) in recent years has required urban planners and transportation engineers to have greater consideration for the transportation services available to residents of a metropolitan region.
These improvements can be achieved by identifying and understanding the factors that influence urban public transit demand.
Common factors that can influence urban public transit demand can be internal and/or external factors.
arXiv Detail & Related papers (2021-11-16T05:37:51Z) - National Access Points for Intelligent Transport Systems Data: From
Conceptualization to Benefits Recognition and Exploitation [55.41644538483948]
The European Union has proposed the development of a National Access Point (NAP) by each individual Member State.
This paper aims to ascertain the role of a NAP within the ITS ecosystem, to investigate methodologies used in designing such platforms, and, through the drafting of an extended use case, showcase a NAP operational process and associate possible benefits with specific steps of it.
arXiv Detail & Related papers (2020-10-14T17:13:00Z) - Knowledge Adaption for Demand Prediction based on Multi-task Memory
Neural Network [43.356096302298056]
We propose to enhance the demand prediction of station-sparse modes with the data from station-intensive mode and design aMemory-Augmented Multi-taskRecurrent Network (MATURE)
Specifically,MATUREcomprises three components: 1) a memory-augmentedrecurrent network for strengthening the ability to capture the long-short term information and storing temporal knowledge of eachtransit mode; 2) a knowledge adaption module to adapt the knowledge from a station-intensive source to station-sparsesources; and 3) a multi-task learning framework to incorporate all theinformation and forecast the demand of multiple modes jointly.
arXiv Detail & Related papers (2020-09-12T12:21:09Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.