Browsing by Author "Yen, Barbara T. H."

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A joint measurement of efficiency and effectiveness for non-storable commodities: Integrated data envelopment analysis approaches
(2010-03-01)
Chiou, Yu-Chiun
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Lan, Lawrence W.
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Yen, Barbara T. H.
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運輸與物流管理系註：原交通所+運管所
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Department of Transportation and Logistics Management
Efficiency and effectiveness for non-storable commodities represent two distinct dimensions and a joint measurement of both is necessary to fully capture the overall performance. This paper proposes two novel integrated data envelopment analysis (IDEA) approaches, the integrated Charnes, Cooper and Rhodes (ICCR) and integrated Banker, Charnes and Cooper (IBCC) models, to jointly analyze the overall performance of non-storable commodities under constant and variable returns to scale technologies. The core logic of the proposed models is simultaneously determining the virtual multipliers associated with inputs, outputs, and consumption by additive specifications for technical efficiency and service effectiveness terms with equal weights. We show that both ICCR and IBCC models possess the essential properties of rationality, uniqueness, and benchmarking power. A case analysis also demonstrates that the proposed novel IDEA approaches have higher benchmarking power than the conventional separate DEA approaches. More generalized specifications of IDEA models with unequal weights are also elaborated. (C) 2009 Elsevier B.V. All rights reserved.
An investigation of the open-system Bus Rapid Transit (BRT) network and property values: The case of Brisbane, Australia
(2020-04-01)
Zhang, Min
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Yen, Barbara T. H.
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Mulley, Corinne
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Sipe, Neil
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運輸與物流管理系註：原交通所+運管所
This paper presents an investigation of the open-system Bus Rapid Transit (BRT) network on property values. An open-system BRT is one where bus feeder lines can enter and leave the BRT system, depending on their origin or destination so the BRT system infrastructure is shared by multiple routes. Brisbane, Australia is the empirical setting where smartcard (GoCard) data shows that 43% of bus passengers accessed the BRT system from feeder line stops. The paper investigates whether feeder line stops are important for increasing network accessibility in Brisbane's open-system BRT. The hypothesis underpinning the study is that the improved accessibility resulting from an open-system BRT network results in higher property values within feeder line corridors in addition to simply around the BRT system. A Geographically Weighted Generalized Linear Model (GWGLM) is used to investigate property value premiums and their spatial distribution. GWGLM makes an improvement over Geographically Weighted Regression Model (GWR) by providing flexible local and global variable settings that decrease the risk of multi-collinearity in local models. The results identify property value uplift of up to 1.64% for every 100 m closer to feeder bus stops with frequent services in western and eastern Brisbane suburbs. Future studies should pay attention to the type of BRT operation (whether open- or closed-) in investigating the value of accessibility from BRT implementation. The results are policy relevant for the debate between whether BRT systems should be open or closed.
Assessing Interchange Effects in Public Transport: A Case Study of South East Queensland, Australia
(2017-01-01)
Yen, Barbara T. H.
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Tseng, Wen-Chun
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Mulley, Corinne
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Chiou, Yu-Chiun
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Burke, Matthew
Interchange or transfers for passengers in large multimodal public transport networks are more or less inevitable. A zone based fare system has the potential to ensure that there is no financial penalty for interchange. In South East Queensland (SEQ), Australia, there is a zone based fare system in place which does not penalize transfers within the same zone but does charge a full fare for an inter-zone transfer in a single journey. This research investigates the interchange effects from an analysis of passengers' travel patterns using the smart card data from the automated fare collection system in place in SEQ. Latent class nested logit models are estimated with social demographic characteristics to measure transfer behaviour and are used to investigate the opportunity for better interchange policies to increase the network effect in the SEQ network. The results identified passengers' heterogeneous preferences towards travel alternatives with markedly different market segments. The empirical results identified passengers categorised into four segments of employees, students, wealthier people and seniors. The findings suggest that public transport network effects are most important to the employee segment with student and senior segments being more likely to choose direct alternatives over alternatives involving interchange. In order to enhance the public transport network effects, two policies to encourage transfers by passengers are investigated using simulations with the policy implications identified. (C) 2017 The Authors. Published by Elsevier B.V.
DYNAMIC FUZZY DATA ENVELOPMENT ANALYSIS MODELS: CASE OF BUS TRANSPORT PERFORMANCE ASSESSMENT
(2019-07-01)
Yen, Barbara T. H.
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Chiou, Yu-Chiun
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交大名義發表
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National Chiao Tung University
In the transport field, two characteristics-inter-temporal dependency and fuzziness-need to be considered when assessing transport performance. First, input and output levels are inter-temporal dependent due to heavy capital investment and because quasi-fixed input can influence output levels over multiple periods. Second, conventional Data Envelopment Analysis (DEA) models are, in nature, formulated with quantitative variables. However, qualitative measurements that are characterized with "vagueness" or "fuzziness" are as important as quantitative variables for multi-period transport performance assessment. To rectify these problems, the present study extends previous research by proposing a Dynamic Fuzzy Data Envelopment Analysis (DFDEA) method for assessing the comparative efficiency where inter-temporal dependence exists in operating production processes with some "fuzzy" variables. An case study was conducted to evaluate the performance of city bus transport companies in Taipei, Taiwan. Results showed the superiority of the proposed DFDEA model by comparing the results with static models.
Equity in financing public transport infrastructure: Evaluating funding options
(2020-09-01)
Yen, Barbara T. H.
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Mulley, Corinne
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Zhang, Min
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運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
Funding of new public transport infrastructure is challenging because of the typically large up front costs. Funding bodies are keen to find new ways of delivering new infrastructure and several funding schemes have been implemented which are based on the way in which better public transport from new infrastructure improves accessibility and raises land values have been implemented. Value capture, the term for a funding mechanism whereby the increase in land value following new infrastructure, has been widely viewed as an alternative funding tool for future public transport infrastructure and has been practiced in a number of forms (e.g., Tax increment financing (TIF)). However, few studies have addressed the equity implications in relation to value capture funding schemes. This study investigates the equity implications using Gold Coast Light Rail Transit (GCLRT) stage one in Gold Coast, Australia as the case study. This case study is used to evaluate four different funding schemes based on previous and existing value capture strategies, such as land value tax, value capture strategies (e.g., TIF and special assessments), and a public transport levy. The paper considers vertical and horizontal equity. There is some evidence of high levy for low income households in the GCLRT catchment areas for value uplift based schemes. The conclusions of the paper contribute to implementation of value capture scheme for many cities in Australia and elsewhere wanting to implement similar funding schemes to fund transport infrastructure.
Integrated fuzzy data envelopment analysis to assess transport performance
(2014-05-28)
Lan, Lawrence W.
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Chiou, Yu-Chiun
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Yen, Barbara T. H.
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運輸與物流管理系註：原交通所+運管所
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Department of Transportation and Logistics Management
Previous fuzzy data envelopment analysis (FDEA) models separately solving for the lower- and upper-bound efficiency frontiers under a specific alpha-cut level may lead to inconsistent efficiency rankings, unreasonable efficiency scores, and cumbersome slack computations. To rectify such shortcomings, this paper proposes two novel integrated fuzzy data envelopment analysis (IFDEA) models wherein both efficiency frontiers are incorporated into a single modelling formulation in ways that the slack values for lower- and upper-bound input/output variables are determined simultaneously. A numerical example shows that the proposed IFDEA models are more generalised and with greater simplicity than an existent FDEA model. A case study further demonstrates that the proposed IFDEA models can satisfactorily assess the relative efficiency for bus transport companies provided that a portion of the variables are measured qualitatively with vagueness (passenger satisfaction in this study).
Parking and restaurant business: Differences in business perceptions and customer travel behaviour in Brisbane, Queensland, Australia
(2020-03-01)
Yen, Barbara T. H.
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Mulley, Corinne
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Burke, Matthew
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Tseng, Wen-Chun
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運輸與物流管理系註：原交通所+運管所
Restauranteurs in Australian cities often resist local government car parking management regimes and advocate for increased parking provision in local planning. But are restauranteurs' views of the importance of car parking to their trade in line with reality? To explore this question this study surveyed restaurant businesses and customers in parallel at three restaurant precincts in inner-city Brisbane, Queensland, Australia. The survey results indicate that restauranteurs and restaurant patrons have asymmetric views about the role of parking and the way it affects restaurant spend. This paper identifies two very different market segments when exploring the customer's travel mode preferences to access restaurants. These two segments are influenced by the built environment in their choice of restaurant location which in turn, gives implications for planning practice. The results show the way in which customers access a restaurant is influenced by the built environment of the location of restaurant. The analysis has also highlighted that an investigation of trip chaining behaviour as part of the access decision for dining would be a future avenue for research. This paper provides evidentiary support for planning policy in relation to parking. On the one hand, this paper shows how planning authorities can make better decisions about transport infrastructure supply and parking control in conjunction with the restaurant sector. On the other hand planners can use the outcome of this paper as a way to help businesses to understand that sustainable transport options may, contrary to their view, be beneficial to their bottom line.
ROUTE-BASED DATA ENVELOPMENT ANALYSIS MODEL
(2010)
Chiou, Yu-Chiun
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Lan, Lawrence W.
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Yen, Barbara T. H.
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運輸與物流管理系註：原交通所+運管所
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Department of Transportation and Logistics Management
This paper proposes two novel route-based data envelopment analysis (RDEA) models which jointly measure the efficiencies of different routes within a transport company and across different companies. The proposed RDEA models, containing three stages, decompose a company's efficiency into individual route's efficiency with simultaneous optimization of the allocation of common inputs. The first stage uses a company-based DEA model to acquire a set of optimal input/output multipliers. The second stage then uses these multipliers to determine the optimal allocation ratios of common inputs among routes, which further maximize the average efficiency of all routes. The third stage determines the efficiencies among all routes within a company and across different companies. The proposed RDEA models are applied to evaluate the route's and company's efficiencies for the 1,035 routes currently operated by 37 Taiwanese intercity bus companies. The results provide more insights to ameliorate the individual route's performance as well as the overall company's performance.
Route-based data envelopment analysis models
(2012-03-01)
Chiou, Yu-Chiun
;
Lan, Lawrence W.
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Yen, Barbara T. H.
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This paper proposes two novel route-based data envelopment analysis (DEA) models that jointly measure the route-level and company-level efficiencies amongst transport carriers. The core logics comprise a three-stage procedure that determines company efficiency, route efficiency and optimal allocation ratios for the common inputs. We prove that the ranking order of company performance determined by the route-based DEA model is identical to that determined by the company-based DEA model. An empirical case demonstrates the superiority of the proposed models in identifying the less efficient routs/companies as well as in reducing the input slacks without subjective conjectures. (C) 2011 Elsevier Ltd. All rights reserved.
The impact of Bus Rapid Transit (BRT) on land and property values: A meta-analysis
(2020-07-01)
Zhang, Min
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Yen, Barbara T. H.
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
Throughout the world, Bus Rapid Transit (BRT) has become a popular transit solution for cities wanting to improve urban mobility and economic opportunities through land and property value uplift (LVU). However, the relevant literature reports a mixed impact of BRT on land and property values. This research aims to explain the variation in impacts by conducting a meta-analysis of 23 empirical studies which have estimated the amount of LVU that is attributable to BRT. Using a random-effects model, four categories of factors that may influence estimates of BRT impacts are analysed: BRT system characteristics; land type and accessibility; research methods; and the spatial and temporal characteristics of the case study. Several factors were found to have a statistically significant impact on estimated LVU impacts from BRT systems including maturity of the BRT system; property or land; type of value (asking price, assessed price or sales price); the distance to BRT stations; the research method; and the geographical location of the BRT system. Using the quantifiability advantages of meta-analysis techniques, we further conducted a broad comparison between our results and the findings from one previous meta-analysis study on Rail-Based Transit (RBT), and discussed how the LVU impact differs between BRT and RBT. The findings from this research suggest several key recommendations for future studies into the impact of BRT on land and property values. They also inform policy analyses on transit funding through land and property value gains.