Frequency Optimization Models for Reducing Overcrowding Discomfort

Agrawal, K N; Suman, Hemant K.; Bolia, Nomesh B.

doi:10.1177/0361198120912230

Cited by 6 publications

(3 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers as far back as the last century have focused on determining bus departure frequencies based on passenger demand (Ceder, 1984). Establishing a reasonable bus timetable helps reduce unnecessary waiting time of passengers (Wang et al, 2017), mitigating road and in-vehicle congestion (Agrawal et al, 2020;Wang et al, 2020), lowering operational costs (Gkiotsalitis et al, 2022) and reducing energy consumption (Bie et al, 2021;Ji et al, 2022), etc. This ultimately promotes more efficient bus management and operations.…”

Section: Overview Of Bus Timetable Optimizationmentioning

confidence: 99%

Urban bus scheduling considering maximizing TWB under the fixed departure times: A case of Beijing

Peng,

Wang,

Yang

et al. 2023

Preprint

View full text Add to dashboard Cite

Urban buses play a crucial role in urban transportation, and optimizing bus scheduling has emerged as a significant research area in transportation. However, existing studies have largely overlooked factors like travel satisfaction and subjective well-being when designing bus schedules. To bridge this gap and enhance passengers' well-being while promoting human-centric traffic management, this study employed a multiple linear regression model to establish a connection between passengers' perceived well-being and objective scheduling service attributes, such as perceived in-vehicle congestion, in-vehicle travel time, and waiting time at the station. By deriving a Travel Well-Being (TWB) index from these scheduling attributes, the study aimed to use it as a comprehensive optimization objective for bus timetable optimization. To validate the proposed optimization approach, a bus line in Beijing, China, was selected, and the results obtained using the Differential Evolution (DE) algorithm demonstrated that the scheduling model, incorporating well-being considerations, effectively increased the estimated well-being rate by 29.80% compared to the original timetable. This study contributes to establishing a human-centric and inclusive transportation system by integrating perceived subjective well-being into the optimization of bus timetables.

show abstract

Section: Overview Of Bus Timetable Optimizationmentioning

confidence: 99%

Urban bus scheduling considering maximizing TWB under the fixed departure times: A case of Beijing

Peng,

Wang,

Yang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Thus, in order to avoid the risk of getting infected, it is highly likely and desirable that for some time, maintaining physical (social) distancing becomes a requirement for all public vehicles and seating, standing spaces are clearly marked. To achieve the required physical distancing in the already short-in-supply transit fleet (Agrawal et al 2020), this study attempts to evaluate the requirement of an operational fleet of public transport immediately after the relaxation in the lockdown and better prepare for the situation. A better preparation of the public transport operators will also avoid the overcrowding at the platforms.…”

Section: Contextmentioning

confidence: 99%

Public Transport Operations After Lockdown: How to Make It Happen?

Suman

Agarwal

Bolia

2020

Trans Indian Natl. Acad. Eng.

Self Cite

View full text Add to dashboard Cite

Lockdown in cities across the globe has imposed severe travel restrictions to limit the spread of Coronavirus disease. The travel behavior and operations will not be the same as before due to requirements such as physical (social) distancing. This study analyzes the resulting shortage in supply of public transport (buses) that will likely widen the existing gap between demand and supply. In this work, system optimization models are developed to efficiently reallocate the bus fleet to routes for different levels of physical distancing gaps and travel demand. The proposed models are applied to a real-life network of 34 bus routes of Delhi, considering three types of scenarios: current, practical, and ideal. In the practical scenarios, the additional, idling bus fleets can be allocated to the routes efficiently while maintaining physical distancing. The results show that the Business-as-Usual (BAU) scenario involving the current allocation approach will make it impossible to use public buses even if the bare minimum physical distancing has to be maintained. Further, the models proposed in the study significantly improve the key performance indicators for all scenarios.

show abstract

“…In many countries, overcrowding management programs are installed to reduce the number of NU-ED visits. Defining these NU visits is the first step in many of these programs [13] [14].…”

Section: Introductionmentioning

confidence: 99%

The Definition of Non-Urgent Visits to the Emergency Department and Validation of Criteria for Referrals

Leshinski¹,

Plakht²,

Farroujha³

2023

OJEM

View full text Add to dashboard Cite

Background: The centers of disease control and prevention define a nonurgent Emergency Department (NU-ED) visit as a medical condition requiring treatment within more than 24 hours. These visits constitute one of the main reasons for emergency department (ED) overcrowding, which greatly affects healthcare workers' wellbeing, health costs, patients' satisfaction and treatment outcomes. Currently, there is no solid definition of non-urgent emergency visits, which is the first step towards dealing and potentially solving this issue. Having that, the aim of the current study is to define and validate the criteria for NU-ED visits in Israel. Methods: This qualitative study included twelve senior physicians and nurses working in Emergency Department and/or Health Maintenance Organizations (HMOs) across Israel. The study was performed using in-depth, semi-structured, open-ended interviews. Qualitative data analysis was performed by conventional content analysis. Results: The urgency of medical visits was defined based on these two questions: 1) Does the medical condition require an immediate treatment? 2) Is the emergency department the only place that can provide the required treatment at a certain timepoint? We found that non-urgent visits mostly occur during the nights and weekends, when medical treatments are not available in the HMOs. Visitors for non-urgent cases mostly complained about minor injuries or chronic conditions, fever, abdominal or chest pain. Most visits occurred based on referral from the family physician or the nurse from the call center. Participants reported a lack of awareness and knowledge about the roles of the EDs and the available options in the HMOs, which seem unable to provide patients with appropriate treatments. The usage of triage scales seems to ensure that patients are being treated based on the clinical urgency of their condition. Medical cases that score above 3 can be defined as non-

show abstract

Frequency Optimization Models for Reducing Overcrowding Discomfort

Cited by 6 publications

References 44 publications

Urban bus scheduling considering maximizing TWB under the fixed departure times: A case of Beijing

Urban bus scheduling considering maximizing TWB under the fixed departure times: A case of Beijing

Public Transport Operations After Lockdown: How to Make It Happen?

The Definition of Non-Urgent Visits to the Emergency Department and Validation of Criteria for Referrals

Contact Info

Product

Resources

About