An assessment of flight efficiency based on the point merge system at metroplex airports

2018 ◽  
Vol 90 (1) ◽  
pp. 1-10
Author(s):  
Ozlem Sahin ◽  
Oznur Usanmaz ◽  
Enis T. Turgut
Keyword(s):  
Fuel Consumption ◽  
Empirical Model ◽  
Service Providers ◽  
Control Area ◽  
Flight Time ◽  
Flight Distance ◽  
Data Set ◽  
Content Type ◽  
International Airport ◽  
Entry Points

Purpose Metroplex is a system of two or more airports, in physical proximity, with highly interdependent arrival and departure operations. The purpose of this study is the construction of an efficient and effective air route model based on the point merge system (PMS) to reduce aircraft fuel consumption and CO2 emissions for three metroplex airports in Istanbul terminal control area (TMA). Design/methodology/approach A PMS arrival route model is constructed for metroplex airports. In the proposed model, two situations are taken into consideration: for delay which can be defined as flying on sequencing legs (PMSdel) and for no delay (PMSno del). An empirical model is developed using a data set including the flight data records of ten actual B737-800 domestic flights. With this empirical model, both the baseline and the PMS models (PMSdel and PMSno del) are compared in terms of fuel consumption, CO2 emissions and flight distance and time as a theoretical computation. Findings In the proposed PMSno del arrival route model, according to different entry points for Istanbul Ataturk International Airport (LTBA), the analyses show an average reduction of 26 per cent in flight time, 24.5 per cent in flight distance, 17 per cent in fuel burned and CO2 emissions; in addition, for Sabiha Gökcen International Airport (LTFJ) there are 34, 23 and 32 per cent average savings for flight time, flight distance and fuel burned together with CO2 emissions obtained, respectively. Even if the PMSdel model, for LTFJ except only one entry point, for LTBA except two entry points, better results are obtained than baseline. Practical implications The point merge model for metroplex airports in this paper can be applied by airspace designers and Air Navigation Service Providers to perform efficient and effective arrival routes. Originality/value In this study, a point merge model is constructed for metroplex airports. Quantitative results, using an empirical model, are achieved in terms of fuel consumption, CO2 emissions and flight distance and time at metroplex airports.

scholarly journals Agricultural credit provision: what really determines farmers’ participation and credit rationing?

2017 ◽  
Vol 77 (2) ◽  
pp. 239-256 ◽  
Author(s):  
Collins Asante-Addo ◽  
Jonathan Mockshell ◽  
Manfred Zeller ◽  
Khalid Siddig ◽  
Irene S. Egyir
Keyword(s):  
Service Providers ◽  
Rural Poverty ◽  
Credit Rationing ◽  
Farm Households ◽  
Unique Contribution ◽  
Loan Default ◽  
Content Type ◽  
Factors Influencing ◽  
Entry Points ◽  
Credit Programs

Purpose The purpose of this paper is to analyze determinants of farmers’ participation and credit rationing in microcredit programs using survey data from Ghana. Design/methodology/approach The authors use the Garrett Ranking Technique to analyze farmers’ reasons for participation or non-participation in credit programs, a probit regression model to estimate factors influencing farm households’ participation, and the Heckman’s sample selection model to identify factors influencing farm households’ probability of being credit rationed by microcredit programs. Findings The results reveal that farm households participate in credit programs because of improved access to savings services and agricultural loans. Fear of loan default and lack of savings are reasons for non-participation in credit programs. Furthermore, membership in farmer-based organizations (FBOs) and the household head’s formal education are positively associated with farmers’ participation in credit programs. The likelihood of farmers being credit rationed (i.e. their loan applications were either rejected or the amount of credit they applied for was reduced) is less likely among higher income farmers and members of FBOs such as farmer cooperatives and savings clubs. Practical implications The findings suggest that policy strategies aiming to improve access to savings and credit services should educate farmers and strengthen FBOs that could serve as entry points for financial service providers. Such market smart strategies have the potential to improve farmers’ access to financial services and reduce rural poverty. Originality/value Although existing studies have examined farmers’ participation in credit markets and credit rationing separately, the unique contribution of this paper is the analysis of participation in microcredit programs as well as the likelihood of farmers being credit rationed in Ghana.

Performance outcomes of environmental collaboration

2016 ◽  
Vol 11 (4) ◽  
pp. 430-451 ◽  
Author(s):  
Sini Laari ◽  
Tomi Solakivi ◽  
Juuso Töyli ◽  
Lauri Ojala
Keyword(s):  
Financial Performance ◽  
Service Providers ◽  
Geographic Origin ◽  
Road Transport ◽  
Performance Outcomes ◽  
Data Set ◽  
Financial Reports ◽  
Content Type ◽  
Transport Services ◽  
Internal Operations

Purpose Firms that need to address growing concerns about the environmental impact of their activities could benefit from collaborating internally and externally. The purpose of this paper is to develop and empirically test a theoretical model of the effects of internal and external environmental collaboration with customers on the firm performance of logistics service providers (LSPs). Design/methodology/approach Hierarchical multiple regression and generalised linear modelling are utilised to analyse 311 LSPs offering road transport services in Finland. The data set was collected from a Finnish nationwide logistics survey in 2012 and financial reports-based data. Findings External environmental collaboration with customers seems to be the most effective way to improve operational and financial performance, while internal environmental collaboration does not yield similar benefits. Research limitations/implications Research limitations include the concentrated geographic origin of the respondents and the exclusion of potential indirect effects of environmental collaboration on operational and financial performance through environmental performance. Practical implications Managers planning to implement environmental initiatives should extend their focus from internal operations to external partners in the supply chain. Originality/value This research is one of the first attempts to focus on performance outcomes with regard to the environmental activities of LSPs. The research provides quantified insights using both self-reported and financial reports-based data.

The enhancement of the prescribed track for unmanned air vehicles

2020 ◽  
Vol 92 (10) ◽  
pp. 1469-1473
Author(s):  
Oznur Usanmaz ◽  
Murat Karaderili ◽  
Ozlem Sahin ◽  
Tamer Savaş
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Simulation Method ◽  
Flight Time ◽  
Flight Distance ◽  
Content Type ◽  
Real Time Simulation ◽  
Vehicle Simulation ◽  
Unmanned Air Vehicle ◽  
Time Simulation

Purpose Unmanned aerial vehicles (UAVs) are more affected by adverse wind conditions in especially landing. Therefore, they need to change the runway in use. In case of this change, to eliminate the uncertain maneuvers, there is a need for a special prescribed track. The purpose of this study is the construction of a prescribed track at a single runway to provide a facility to change the runway in use. Design/methodology/approach Two forms of prescribed tracks, as standard and alternate, were constructed for UAVs by taking into consideration the key parameters to design flight procedures. Both tracks were assessed in a real-time simulation method. Moreover, unmanned vehicle simulation was used for a validation process. Findings According to the real-time simulation results, 8.14 NM and 6.64 NM of flight distance and 5.43 min and 4.43 min of flight time for the standard and alternate prescribed tracks were found, respectively. The obtained results were in favor of the alternate prescribed track. Furthermore, the prescribed track was assessed and validated in both air traffic control and UAV simulations. The feedback of pilots and controllers was very positive for a prescribed track, as it provided them with foresight and time to take care in any situations. Practical implications The prescribed track in this paper may be applied by airspace designers and UAV users to perform safe and efficient landing in adverse wind conditions. Originality/value In this study, a prescribed track was constructed for UAVs. Quantitative results were achieved using a real-time simulation method in terms of flight distance and flight time. Additionally, validation of the prescribed track was achieved by unmanned air vehicle simulation.

Integration effects of UAVs in non-segregated airspace

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tamer Savas ◽  
Oznur Usanmaz ◽  
Ozlem Sahin ◽  
Ertan Çınar ◽  
Murat Karaderili
Keyword(s):  
Real Time ◽  
Simulation Method ◽  
Flight Time ◽  
Flight Distance ◽  
Content Type ◽  
Time Simulation ◽  
Proposed Model ◽  
Comparison Results ◽  
Quantitative Results ◽  
Real Time Simulations

Purpose The study aims to design a new route model for unmanned aerial vehicles (UAVs) to integrate them into non-segregated airspace. Design/methodology/approach The proposed route model was assessed and validated through real-time simulations. Findings The comparison results of baseline and proposed route model show that a reduction of 38% and 41% in the total flight time and total flight distance were obtained in favour of the proposed model, respectively. Practical implications The proposed route model can be applied by airspace designers and UAV users to perform safe and efficient landing in non-segregated airspace. Originality/value In this study, a new proposed route model is constructed for UAVs. Quantitative results, using a real-time simulation method, are achieved in terms of flight distance and flight time.

Exploring the role of service touchpoints on the path to financial, behavioral and relational customer outcomes: insights from a B2B service context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lily (Xuehui) Gao ◽  
Iguácel Melero-Polo ◽  
Miguel Á. Ruz-Mendoza ◽  
Andreea Trifu
Keyword(s):  
Service Providers ◽  
Sales Force ◽  
Seemingly Unrelated Regression ◽  
Data Set ◽  
Content Type ◽  
Customer Perceptions ◽  
Study Results ◽  
Long Term Impact ◽  
Customer Outcomes

Purpose The purpose of this study is to examine how and to what extent customer-provider service touchpoints impact business customer perceptions and outcomes in the context of long-term business-to-business (B2B) service relationships. To this end, the authors will assess the chain of effect path for different service touchpoints between business customers and service providers – and the long-term impact both on customer perceptions and financial, behavioral and relational outcomes. Design/methodology/approach Enabled by a five-year panel data set, seemingly unrelated regression model methodology is applied to test the proposed conceptual framework. Data are obtained for a sample of 2,175 B2B insurance service companies between 2013 and 2017. Findings Study results shed light on the significance of the sales force in B2B settings, as one of several key service touchpoints – together with firm expertise, service reliability and excellence – driving robust relationships, profitability and cross-buying. Firm-initiated contacts and tangible touchpoints are proven to be ineffective – even damaging in some instances – in terms of driving business customer perceptions. Originality/value The paper delivers empirical evidence providing insight on how service touchpoints and business customer perceptions have a long-term impact on customer outcomes. This has yet to be addressed in B2B service settings – despite being of vital interest to marketers, as the longitudinal approach of the research aids service firms in gaining a better understanding of company-customer touchpoints and the extent to which different factors have a decisive, lasting impact on B2B customer outcomes.

scholarly journals The good coach: implementation and sustainment factors that affect coaching as evidence-based intervention fidelity support

2018 ◽  
Vol 13 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Lara M. Gunderson ◽  
Cathleen E. Willging ◽  
Elise M. Trott Jaramillo ◽  
Amy E. Green ◽  
Danielle L. Fettes ◽  
...  
Keyword(s):  
Child Neglect ◽  
Service Providers ◽  
Support Service ◽  
Evidence Based ◽  
Data Set ◽  
Content Type ◽  
Data Coding ◽  
Context Factors ◽  
Home Visitation Program ◽  
Over Time

Purpose Evidence-based interventions (EBIs) for human services unfold within complicated social and organizational circumstances and are influenced by the attitudes and behaviors of diverse stakeholders situated within these environments. Coaching is commonly regarded as an effective strategy to support service providers in delivering EBIs and attaining high levels of fidelity over time. The purpose of this paper is to address a lacuna in research examining the factors influencing coaching, an important EBI support component. Design/methodology/approach The authors use the Exploration, Preparation, Implementation, and Sustainment framework to consider inner- and outer-context factors that affect coaching over time. This case study of coaching draws from a larger qualitative data set from three iterative investigations of implementation and sustainment of a home visitation program, SafeCare®. SafeCare is an EBI designed to reduce child neglect. Findings The authors elaborate on six major categories of findings derived from an iterative data coding and analysis process: perceptions of “good” and “bad” coaches by system sustainment status; coach as peer; in-house coaching capacity; intervention developer requirements vs other outer-context needs; outer-context support; and inner-context support. Practical implications Coaching is considered a key component for effective implementation of EBIs in public-sector systems, yet is under-studied. Understanding inner- and outer-context factors illuminates the ways they affect the capacity of coaches to support service delivery. Originality/value This paper demonstrates that coaching can accomplish more than provision of EBI fidelity support. Stakeholders characterized coaches as operating as boundary spanners who link inner and outer contexts to enable EBI implementation and sustainment.

scholarly journals Air Traffic Efficiency Analysis of Airliner Scheduled Flights Using Collaborative Actions for Renovation of Air Traffic Systems Open Data

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Akinori Harada ◽  
Tooru Ezaki ◽  
Tomoaki Wakayama ◽  
Koichi Oka
Keyword(s):  
Fuel Consumption ◽  
Open Data ◽  
Radar Data ◽  
Operational Efficiency ◽  
Flight Time ◽  
Air Traffic ◽  
Flight Distance ◽  
Civil Aviation ◽  
Position Information ◽  
Traffic Systems

The increase in air traffic worldwide requires improvement of flight operational efficiency. This study aims to reveal the potential benefits, namely, savings on fuel consumption and flight time, which are expected for Japanese airspace, by statistically evaluating the operational efficiency defined by average differences of fuel consumption, flight time, and flight distance between the original and the optimized flight of domestic flights in Japan. The aircraft position and time data used in this study were obtained from Collaborative Actions for Renovation of Air Traffic Systems Open Data—the radar data released by the Japan Civil Aviation Bureau. Flight information, such as air data and fuel flow, is estimated by applying meteorological data and aircraft performance model to the position information of radar data. Each reconstructed trajectory is optimized in terms of flight fuel consumption and flight time with an assumed cost index (CI). Dynamic programming is used as the trajectory optimization method. The flight fuel consumption and flight time of the optimized flight are compared with the original values to evaluate the operational efficiency. Herein, approximately one-third of 1-day data, i.e., 1087 cases of four aircraft types, are analyzed with reasonable CI settings. Our research findings suggest that flight fuel consumption and flight distance can be saved by 312 kg and 19.7 km, respectively, on average for the object flights. Following a statistical comparison between the original and the optimized flights, it was observed that two types of features, namely, flying on a detoured path and flying with nonoptimal altitude and speed in the cruise phase, are major factors which deteriorate the total operational efficiency in terms of fuel consumption, flight time, and flight distance.

DEA-ADALINE: an approach to improve the relative efficiency of 3PLs providers

2019 ◽  
Vol 27 (1) ◽  
pp. 166-191
Author(s):  
Mahamaya Mohanty ◽  
Ravi Shankar
Keyword(s):  
Service Providers ◽  
Value Added ◽  
Integrated Approach ◽  
Decision Makers ◽  
Third Party ◽  
Total Carbon ◽  
Utilization Rate ◽  
Neuron Network ◽  
Data Set ◽  
Content Type

Purpose Benchmarking is an approach to understand and evaluate the current position of different entities like third-party logistics (3PLs) service providers with respect to the best practices. The purpose of this paper is to develop an integrated approach to benchmark the 3PLs and minimize the transportation cost, operational cost, total carbon emissions and improve vehicle capacity utilization rate and demand management in an efficient manner. Design/methodology/approach Conventional data envelopment analysis (DEA) is extended to develop an integrated approach involving DEA and adaptive linear neuron network (ADALINE). The proposed methodology is dichotomized to the benchmarking of DMUs using Charnes, Cooper, Rhodes ratio and, in the process, helps to suggest ways to reduce inefficiencies. Findings The approach also supports the decision makers to understand ways to increase the efficiency of decision-making units (DMUs) that are relatively inefficient for a set of 3PLs considered in this study. This is one of the potential researches as it studies how to improve the efficiency of inefficient DMUs. Research limitations/implications The proposed approach would help the decision makers to better understand the complexities associated with the low-performing 3PLs. The application of the proposed DEA-ADALINE methodology is illustrated using a range of data set for 3PLs. Originality/value The paper examines and explains the value added to the conventional DEA model for obtaining the relative efficiencies with reference to the most efficient DMUs without any loss to the original characteristics of DEA and ADALINE.

Paid accommodation use of international VFR multi-destination travellers

2016 ◽  
Vol 71 (2) ◽  
pp. 90-104 ◽  
Author(s):  
Tom Griffin ◽  
Robin Nunkoo
Keyword(s):  
Design Methodology ◽  
Service Providers ◽  
Secondary Data ◽  
Original Position ◽  
Data Set ◽  
Content Type ◽  
Visiting Friends And Relatives ◽  
International Visitors ◽  
Host Behaviour ◽  
Practical Implications

Purpose The purpose of this paper is to explore the use of paid accommodation by international visitors who also stay with a friend or relative in another destination. Design/methodology/approach This paper conducts analysis of secondary data to look at the proportion of person nights in paid accommodation attributable to visitors who also stay with a friend or relative in another destination, and comparison of different visitor groups and their likelihood to use paid accommodation. Findings Results show that 14.5 per cent of all person nights spent by international visitors to Canada in paid accommodations were attributable to people who also stayed with a friend or relative in another destination. This proportion is higher for destinations outside of the largest cities and varies by source market. Research limitations/implications This paper is limited the structure of the secondary data set, which does not separate visiting friends from visiting relatives, and does not capture host behaviour. Practical implications This paper has implications for destination marketers and tourism businesses as a source for reflection on drivers of their local and international business. Social implications This paper helps position residents in a more central role regarding tourism in their regions and should encourage marketers and service providers to appreciate and engage residents as hosts. Originality/value This paper offers an original position by combining concepts from visiting friends and relatives and multi-destination travel that provides a foundation for further research in this area.

Private attribute inference from Facebook’s public text metadata: a case study of Korean users

2017 ◽  
Vol 117 (8) ◽  
pp. 1687-1706
Author(s):  
Daeseon Choi ◽  
Younho Lee ◽  
Seokhyun Kim ◽  
Pilsung Kang
Keyword(s):  
Machine Learning ◽  
Marital Status ◽  
Service Providers ◽  
Machine Learning Algorithms ◽  
Experimental Results ◽  
Relationship Status ◽  
Profile Data ◽  
Data Set ◽  
Content Type ◽  
Profile Information

Purpose As the number of users on social network services (SNSs) continues to increase at a remarkable rate, privacy and security issues are consistently arising. Although users may not want to disclose their private attributes, these can be inferred from their public behavior on social media. In order to investigate the severity of the leakage of private information in this manner, the purpose of this paper is to present a method to infer undisclosed personal attributes of users based only on the data available on their public profiles on Facebook. Design/methodology/approach Facebook profile data consisting of 32 attributes were collected for 111,123 Korean users. Inferences were made for four private attributes (gender, age, marital status, and relationship status) based on five machine learning-based classification algorithms and three regression algorithms. Findings Experimental results showed that users’ gender can be inferred very accurately, whereas marital status and relationship status can be predicted more accurately with the authors’ algorithms than with a random model. Moreover, the average difference between the actual and predicted ages of users was only 0.5 years. The results show that some private attributes can be easily inferred from only a few pieces of user profile information, which can jeopardize personal information and may increase the risk to dignity. Research limitations/implications In this paper, the authors’ only utilized each user’s own profile data, especially text information. Since users in SNSs are directly or indirectly connected, inference performance can be improved if the profile data of the friends of a given user are additionally considered. Moreover, utilizing non-text profile information, such as profile images, can help increase inference accuracy. The authors’ can also provide a more generalized inference performance if a larger data set of Facebook users is available. Practical implications A private attribute leakage alarm system based on the inference model would be helpful for users not desirous of the disclosure of their private attributes on SNSs. SNS service providers can measure and monitor the risk of privacy leakage in their system to protect their users and optimize the target marketing based on the inferred information if users agree to use it. Originality/value This paper investigates whether private attributes of SNS users can be inferred with a few pieces of publicly available information although users are not willing to disclose them. The experimental results showed that gender, age, marital status, and relationship status, can be inferred by machine-learning algorithms. Based on these results, an early warning system was designed to help both service providers and users to protect the users’ privacy.

Sign in / Sign up

Export Citation Format

Share Document