Application of AHP for evaluating passenger demand for public transport improvements in Mersin, Turkey

The supply quality of a public transport system can be characterized by a few frequently alluded factors. These factors are often not fully considered in emerging countries by decision makers, generally, the decisions are made through a top-down process, while preferences of the demand side would also be essential. This paper suggests an approach aiming to get an overview of passenger’s demands in Mersin city ‘Turkey’. As methodology, analytic hierarchy process has been applied based on created questionnaires that has been used regarding the hierarchy of quality factors, and as evaluators, the public and governmental decision makers have been involved in the survey. The degree of public satisfaction about public transport has been decided by analyzing collected data

Evaluation and Ranking of Driver Behavior Factors Related to Road Safety by Applying Analytic Network Process

Human behavior has been considered as a key factor in road safety. Mostly drivers involve in risky behaviors that cause road safety issues. The identification and categorization of risky driver behavior factors is very important to solve road safety issues. This study aims to evaluate and rank the most significant driver behavior factors related to road safety using multi criteria decision making applications. Driver Behavior Questionnaire (DBQ) was designed based on Saaty scale by considering the important risky driver behavior factors related to road safety. Twenty experts of transportation engineering department having high driving experience were asked to fill the dynamic questionnaire survey. The analytic network process (ANP) was applied based on pairwise comparisons of driver responses to rank the risky driver behavior factors. Network model results were used to differentiate more significant and less significant risky driving behavior factors based on measured criteria on perceived road safety issues. The analysis results revealed that "driving without alcohol use" was the most significant factor and "obeying speed limits" was the least significant factor for road safety as compared to other factors. The high rank risky driver behavior factors should be more focused to solve road safety issues

User Satisfaction Survey on Public Transport by a New PAHP Based Model

There is an obvious trade-off between information obtained from passenger surveys and cost and time investment. This paper offers a new approach for this problem and its detailed step-by-step procedure description. Parsimonious Analytic Hierarchy Process (PAHP) is a recently created methodology that combines the simplicity of direct evaluations with the consistency and reliability of the Analytic Hierarchy Process (AHP). In the paper, the first large sample survey of passenger satisfaction by a new, PAHP-based model and procedure is presented as a case study. Moreover, a comparison with an AHP survey on the same public transport system and the same pattern are demonstrated. Since the comparative analysis produced a strong correlation between AHP and PAHP outcomes, it can be stated that the new procedure is less time consuming and costly than the AHP, while possessing the same benefits, and thus, it is more trustworthy than satisfaction measured by direct evaluations. Consequently, our proposed model can be applied both in theoretical and practical cases. Theoretically, it solves the problem of avoiding the use of large pairwise comparison matrices, and practically, it is a useful support to public satisfaction surveys, especially in the transportation sector

Comparative mode choice analysis of university staff commuting travel preferences

Surveying citizen preferences on transportation modes when commuting is a major issue in urban transport planning. Most of the current methods approach the problem through the attributes of choices thus forecasting the demand indirectly. This paper aims to analyze a survey of commuting students and university staff by two direct preference models: the Analytic Hierarchy Process and the Best-Worst Method. Both techniques are based on pairwise comparisons; consequently, the commuting transport alternatives can be directly compared with each other, and the results are comparable, too. However, the two methods differ in the number and the nature of comparisons and in the consistency check, thus they can be regarded as competitors. A real-world case study on commuting student groups provides a better understanding of the proposed methodology. As a result, it can be stated that despite their low utilization in the transportation field, both the Analytic Hierarchy Process and the Best-Worst Method are applicable to mode choice preference surveys, and they produce comprehensive final outcomes. Therefore, the well-known tools of mode choice can be extended by Multi-Criteria-Decision-Making techniques to increase the efficiency of transport demand prediction. The extension is beneficial to avoid the bias of other methods in converting attribute evaluations to real mode choice decision, as both models, especially the Best-Worst approach, requires less cost and time than the mainstream techniques

Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP

In any public service development decision, it is essential to reach the stakeholders&rsquo agreement to gain a sustainable result, which is accepted by all involved groups. In case this criterion is violated, the impact of the development will be less than expected due to the resistance of one group or another. Concerning public urban transport decisions, the lack of consensus might cause lower utilisation of public vehicles, thus more severe environmental damage, traffic problems and negative economic impacts. This paper aims to introduce a decision support procedure (applying the current MCDM techniques Fuzzy and Interval AHP) which is capable of analysing and creating consensus among different stakeholder participants in a transport development problem. The combined application of FAHP and IAHP ensures that the consensus creation is not only based on an automated computation process (just as in IAHP) but also on the consideration of specific group interests. Thus, the decision makers have the liberty to express their preferences in urban planning, along with the consideration of numerical results. The procedure has been tested in a real public transport improvement decision as a follow-up project, in an emerging city, Mersin, Turkey. Results show that by the application of the proposed techniques, decision-makers can be more aware of the conflicts of interests among the involved groups, and they can pay more attention to possible violations. Document type: Articl

Application of grey analytic hierarchy process to estimate mode choice alternatives: A case study from Budapest

This study proposes a multi-criteria decision-making approach using the grey theory to analyze mode choices. An extended analytic hierarchy process (AHP) model, which combines the advantages of the classic AHP and the grey theory for the accurate estimation of the commuting mode weight coefficients, is applied to a real transportation problem involving evaluators. The presented approach is applied for a real-life case study in Budapest. Based on the results, for all distances, public transport is ranked first followed by the car mode; however, for short- and mid-distance commuters, home office and bike might be suitable options, too. The results of this method are compared with the fuzzy AHP method. Having the same ranking in case of the two analyses means that the proposed method provides correct results under uncertainty in a group decision-making process. Thus, the outcomes highlight the applicability of the proposed method to the evaluation of mode choice

Impact of job satisfaction on worker’s motivation: a research in Turkish construction industry.

TEZ9862Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2015.Kaynakça (s. 59-65) var.xi, 77 s. ; 29 cm.Bu çalışmada, Türk inşaat sektörü çalışanlarının iş tatminlerinin motivasyonları üzerine etkisinin araştırılması amacıyla mimar, inşaat mühendisi ve teknik elemanlara anket uygulanmıştır. Türk inşaat sektörü çalışanlarının motivasyonunu etkileyen faktörler “yönetim politikası”, “kurum içi iletişim”, “denetim” ve “yönetici” alt faktörleri olarak belirlenmiştir. Uygulanan korelasyon analizi sonucunda iş tatmini ve motivasyon alt boyutlarının kendi aralarında pozitif ilişki bulunmuş fakatiş tatmini ve motivasyon arasında anlamlı ilişki bulunmamıştır.In this study, a questionnaire survey has been conducted to civil engineers, architects and technical workers, in order to investigate the impact of job satisfaction on motivation of Turkish construction industry professionals. The factors that impact workers motivation in Turkish construction industry are determined to be “management policy”, “internal communication”, “control” and “manager”. As a result of correlation analysis, a positive relationship between the subscales of jobsatisfaction and motivation was found, but no meaningful relationship was found between job satisfaction and motivation.Bu çalışma Ç.Ü. Bilimsel Araştırma Projeleri Birimi tarafından desteklenmiştir. Proje No: FYL2005-3709

An Integrated Fuzzy Analytic Hierarchy Process (AHP) Model for Studying Significant Factors Associated with Frequent Lane Changing

Frequent lane changes cause serious traffic safety concerns, which involve fatalities and serious injuries. This phenomenon is affected by several significant factors related to road safety. The detection and classification of significant factors affecting lane changing could help reduce frequent lane changing risk. The principal objective of this research is to estimate and prioritize the nominated crucial criteria and sub-criteria based on participants’ answers on a designated questionnaire survey. In doing so, this paper constructs a hierarchical lane-change model based on the concept of the analytic hierarchy process (AHP) with two levels of the most concerning attributes. Accordingly, the fuzzy analytic hierarchy process (FAHP) procedure was applied utilizing fuzzy scale to evaluate precisely the most influential factors affecting lane changing, which will decrease uncertainty in the evaluation process. Based on the final measured weights for level 1, FAHP model estimation results revealed that the most influential variable affecting lane-changing is ‘traffic characteristics’. In contrast, compared to other specified factors, ‘light conditions’ was found to be the least critical factor related to driver lane-change maneuvers. For level 2, the FAHP model results showed ‘traffic volume’ as the most critical factor influencing the lane changes operations, followed by ‘speed’. The objectivity of the model was supported by sensitivity analyses that examined a range for weights’ values and those corresponding to alternative values. Based on the evaluated results, stakeholders can determine strategic policy by considering and placing more emphasis on the highlighted risk factors associated with lane changing to improve road safety. In conclusion, the finding provides the usefulness of the fuzzy analytic hierarchy process to review lane-changing risks for road safety

A Novel Parsimonious Best Worst Method for Evaluating Travel Mode Choice

There is an obvious trade-off between the amount of information obtained from user surveys and low-cost and time-efficient survey. In this study, we propose a Parsimonious Best Worst Method (P-BWM) to unburden the evaluators from the extensive number of pairwise comparisons required originated by numerous factors and alternatives required by the Best Worst Method (BWM) in the complex decision problems. The new Parsimonious BWM model assigns priorities to many elements by contrasting pair wisely some reference elements, also it combines the straightforwardness of direct evaluations with the dependability and stability of the BWM approach. The developed Parsimonious BWM technique has been experimented and validated in a real-world problem of Mersin city in Turkey, to evaluate travel mode alternatives. Moreover, a comparative analysis has been applied to the correlation of the adopted outcomes between BWM and P-BWM

Decision support system for evaluating park & ride system using the analytic hierarchy process (AHP) method

ABSTRACTThe park and ride (P&R) system is a crucial transfer point between private and public transportation, playing a significant role in the sustainable urban mobility plan (SUMP) and operational objectives of the system. The implementation of the P&R system requires careful consideration of diverse criteria related to private vehicles and public transport, which must be evaluated by transportation planners with expertise in transportation, road safety, and mobility. When determining the optimal location for the P&R system, transportation planners specializing in transportation, road safety, and mobility must take a number of criteria into account. This paper discusses the use of the analytic hierarchy process (AHP) for establishing a P&R system. In addition, the multi-criteria method permits consensus on the primary criteria for the location of the P&R system in an intermediate city. The result shows that accessibility to public transportation has been identified as the most important criterion for establishing a P&R system by transportation planners. In conclusion, the AHP is a multi-criteria method that allows transport planners to evaluate the location of the P&R system