Outpatient Telemedicine Program in Vascular Surgery Reduces Patient Travel Time, Cost, and Environmental Pollutant Emissions

2019 ◽  
Vol 59 ◽  
pp. 167-172 ◽  
Author(s):  
Shannon Paquette ◽  
Judith C. Lin
2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
J Fort ◽  
H Hughes ◽  
U Khan ◽  
A Glynn

Abstract Aim Several papers have analysed the clinical benefits and safety of Virtual Fracture Clinics (VFCs). A significant increase in the use of Trauma and Orthopaedic (T&O) VFCs was seen during the COVID-19 pandemic. This study aims to investigate the social impact of VFCs on the travel burden and travel costs of T&O patients, as well as the potential environmental benefits in relation to fuel consumption and travel-related pollutant emissions. Method All patients referred for T&O VFC review from March 2020 to June 2020 were retrospectively analysed. The travel burden and environmental impacts of hypothetical face-to-face consultations were compared with these VFC reviews. The primary outcomes measured were patient travel time saved, patient travel distance saved, patient cost savings and reduction in air-pollutant emissions. Results Over a four-month period, 1359 VFC consultations were conducted. The average travel distance saved by VFC review was 88.6 kilometres (range 3.3-615), with an average of 73 minutes (range 9-390) of travel-time saved. Patients consumed, on average, 8.2 litres (range 0.3-57.8) less fuel and saved an average of €11.02 (range 0.41-76.59). The average reduction in air-pollutant vehicle emissions, including carbon dioxide, carbon monoxide, nitric oxides and volatile organic compounds was 20.3 kilograms (range 0.8-140.8), 517.3 grams (g) (range 19.3-3592.3), 38.1g (range 1.4-264.8) and 56.9g (range 2.1-395.2), respectively. Conclusions VFCs reduce patient travel distance, travel time and travel costs. In addition, VFCs confer significant environmental benefits through reduced fuel consumption and reduction of harmful environmental emissions.


2016 ◽  
Vol 2 (3) ◽  
pp. 102-112 ◽  
Author(s):  
Kamran Rahimov ◽  
Alireza Motamadnia ◽  
Sadegh Samadi

Interchanges that are investigated in this research are roundabout interchange and pinavia interchange that are simulated in AIMSUN software using traffic data. The parameters that  are considered for each interchange are  traffic volume, pollutant emissions, fuel consumption, travel time, delay time ,construction cost, repair and maintenance cost, travel time cost , fuel consumption cost and safety , so that in technical evaluation traffic volume, pollutant emissions, fuel consumption, travel time, delay time are compared  by using two independent sample t – test that are used  for comparing of two group of data and It is assumed that the variances are equal . Then In economic evaluation construction cost, repair and maintenance cost, travel time cost , fuel consumption cost and safety are converted into cost by using axis produce way that based on this supposal that storage in exchange for an hour of travel time, increase an hour of production opportunities and construction cost, repair and maintenance cost calculated by executive plans and Related Regulations and finally each parameter is weighted by AHP and obtain the universal (total) cost. Finally due to the total cost of the resulting it can be seen that for twenty-year period pinavia interchange in compare with roundabout interchange has 49% more efficient.


Author(s):  
Ahmad Reza Jafarian-Moghaddam

AbstractSpeed is one of the most influential variables in both energy consumption and train scheduling problems. Increasing speed guarantees punctuality, thereby improving railroad capacity and railway stakeholders’ satisfaction and revenues. However, a rise in speed leads to more energy consumption, costs, and thus, more pollutant emissions. Therefore, determining an economic speed, which requires a trade-off between the user’s expectations and the capabilities of the railway system in providing tractive forces to overcome the running resistance due to rail route and moving conditions, is a critical challenge in railway studies. This paper proposes a new fuzzy multi-objective model, which, by integrating micro and macro levels and determining the economical speed for trains in block sections, can optimize train travel time and energy consumption. Implementing the proposed model in a real case with different scenarios for train scheduling reveals that this model can enhance the total travel time by 19% without changing the energy consumption ratio. The proposed model has little need for input from experts’ opinions to determine the rates and parameters.


Author(s):  
Hanyuan Zhang ◽  
Hao Wu ◽  
Weiwei Sun ◽  
Baihua Zheng

Estimating the travel time of a path is of great importance to smart urban mobility. Existing approaches are either based on estimating the time cost of each road segment which are not able to capture many cross-segment complex factors, or designed heuristically in a non-learning-based way which fail to leverage the natural abundant temporal labels of the data, i.e., the time stamp of each trajectory point. In this paper, we leverage on new development of deep neural networks and propose a novel auxiliary supervision model, namely DeepTravel, that can automatically and effectively extract different features, as well as make full use of the temporal labels of the trajectory data. We have conducted comprehensive experiments on real datasets to demonstrate the out-performance of DeepTravel over existing approaches. 


لارك ◽  
2019 ◽  
Vol 1 (13) ◽  
pp. 72-108
Author(s):  
بشير إبراهيم الطيف ◽  
عمران بندر مراد ◽  
انور سالم رمضان

على الرغم من الأهمية المكانية لجميع الأنشطة الإقتصادية ومنها الصناعات الإنشائية بشكل عام وصناعة الطابوق بشكل خاص ، إذ تواجه مجموعة مشاكل سواء كانت هذه المشاكل طبيعية أم بشرية ومدى تأثيرها على العمليات الإنتاجية كما ونوعاً ولما له من انعكاس على الحياة الإقتصادية والإجتماعية والبيئة، لكن وعلى الرغم من نجاح صناعة الطابوق فانها تعاني من مشاكل متعددة تعرقل عمليات الإنتاج، إذ يتطلب إيجاد الحلول المناسبة لها ولأجل تطوير تلك الصناعة بوصفها صناعة رائدة نامية في وسط وجنوب العراق، إلا أنه ومع ذلك برزت عوائق ومشاكل كبيرة أثرت بشكل بالغ على الصناعة والتنمية التي كان المجتمع يأمل أن تتحقق، فضلاً عن دور النشاط الصناعي وعلاقته بالجانب البيئي وكمية الفضلات والإنبعاثات البيئية الملوثة، هذا مادفع جميع المؤسسات المسؤولة النظر في تحجيم مثل تلك المخاطر التي قد تواجه المواطنين في المكان القريب التي قد تقع فيه معامل الطابوق في محافظتي واسط   وذي قار.   Abstract:       Despite the importance of spatial for all economic activities , including the construction industry in general and the industry of bricks , in particular, as it faces a range problems , whether these problems are natural or human and its impact on production processes, quality and quantity , and because of its reflection on the economic and social life and the environment , but in spite of the success of the industry bricks , they suffer from multiple problems hampering production processes , as it requires finding appropriate solutions and to develop the industry as an industry leader developing in central and southern Iraq , but he nevertheless emerged barriers and big problems affected the adult industry and the development community was hoping that realized , as well as the role of industrial activity and its relationship to the environmental aspect and the amount of waste and environmental pollutant emissions , this Madf all responsible institutions to consider the scaled such risks that may face the citizens in the place that might occur near the brick factories in the provinces of Wasit and Thi Qar.                           


ICTE 2015 ◽  
2015 ◽  
Author(s):  
Haochuan Yu ◽  
Zhongyi Zuo ◽  
Yi Cao

2018 ◽  
Vol 11 (1) ◽  
pp. 170 ◽  
Author(s):  
Xinhua Mao ◽  
Jianwei Wang ◽  
Changwei Yuan ◽  
Wei Yu ◽  
Jiahua Gan

Existing Dynamic Traffic Assignment (DTA) models assign traffic flow with the principle of travel time, which are easy to distribute most of the traffic flows on the shortest path. A serious unbalance of traffic flow in the network can speed up pavement deterioration of highways with heavy traffic, which influences the sustainability of pavement performance and increases maintenance expenditures. The purpose of this research is to obtain a more optimized traffic assignment for pavement damage reduction by establishing a multi-objective DTA model with the objectives of not only minimum travel time but minimum decline of Present Serviceability Index (PSI) for pavements. Then, teaching-learning-based optimization (TLBO) algorithm is utilized to solve the proposed model. Results of a case study indicate that a more balanced traffic flow assignment can be realized by the model, which can effectively reduce average PSI loss, save maintenance expenditures, extend pavement service life span, save fuel consumption and reduce pollutant emissions in spite of a little increase of average travel time. Additionally, sensitivity of weight factor for the two objective functions is analyzed. This research provides some insights on methods on sustainable pavement performance.


Sign in / Sign up

Export Citation Format

Share Document