In both developed and emerging-economies, major cities continue to experience increasing traffic congestion. To address this issue, complex Traffic Management Systems (TMS) are employed in recent years to help manage traffic. These systems fuse traffic-surveillance-related information from a variety of sensors deployed across traffic networks. A TMS requires real-time information to make effective control decisions and to deliver trustworthy information to users, such as travel time, congestion level, etc. There are three fundamental inputs required by TMS, namely, traffic volume, vehicular speed, and traffic density. Using conventional traffic loop detectors one can directly measure flow and velocity. However, traffic density is more difficult to measure. The situation becomes more difficult for multi-lane motorways due to drivers lane-change behaviour. This research investigates statistical modelling and analysis of traffic flow. It contributes to the literature of transportation and traffic management and research in several aspects. First, it takes into account lane-changes in traffic modelling through incorporating a Markov chain model to describe the drivers lane-change behaviour. Secondly, the lane change probabilities between two adjacent lanes are not assumed to be fixed but rather they depend on the current traffic condition. A discrete choice model is used to capture drivers lane choice behaviour. The drivers choice probabilities are modelled by several traffic-condition related attributes such as vehicle time headway, traffic density and speed. This results in a highly nonlinear state equation for traffic density. To address the issue of high nonlinearity of the state space model, the EKF and UKF is used to estimate the traffic density recursively. In addition, a new transformation approach has been proposed to transform the observation equation from a nonlinear form to a linear one so that the potential approximation in the EKF & UKF can be avoided. Numerical studies have been conducted to investigate the performance of the developed method. The proposed method outperformed the existing methods for traffic density estimation in simulation studies. Furthermore, it is shown that the computational cost for updating the estimate of traffic densities for a multi-lane motorway is kept at a minimum so that online applications are feasible in practice. Consequently the traffic densities can be monitored and the relevant information can be fed into the traffic management system of interest.

New Zealand is internationally renowned for having some of the finest and most challenging trout fishing in the world. However, due to continuing development and angling pressure many fishing sites are showing signs of environmental degradation and over fishing. This trend is almost certain to continue into the future given continued population and economic growth. Understanding the determinants of site choice, preference heterogeneity and anglers’ substitution patterns is fundamentally important to fishery managers who have the difficult task of maintaining quality angling experiences on a number of fishing sites, managing angling pressure and maintaining license sales. Recent advances in simulation techniques and computational power have improved the capability of discrete choice models to reveal preference heterogeneity and complex substitution patterns among individuals. This thesis applies and evaluates a number of state-of-the-art discrete choice models to study angler site choice in New Zealand. Recreation specialisation theory is integrated into the analysis to enhance the behavioural representation of the statistical models. A suite of models is presented throughout the empirical portion of this thesis. These models demonstrate different ways and degrees of explaining preference heterogeneity as well as identifying anglers’ substitution patterns. The results show that North Canterbury anglers’ preferences vary considerably. Resource disturbances such as riparian margin erosion, reduced water visibility and declines in catch rates can cause significant declines in angler use of affected sites, and at the same time non-proportional increases in the use of unaffected sites. Recreation specialisation is found to be closely related to the types of fishing site conditions, experiences and regulations preferred by anglers. Anglers’ preference intensities for fishing site attributes, such as catch rates, vary across different types of fishing sites. This location specific preference heterogeneity is found to be related to specialisation. Overall, the empirical findings indicate that conventional approaches to modelling angler site choice which do not incorporate a strong understanding of angler preference heterogeneity can lead to poorly representative models and suboptimal management and policy outcomes.

Embora haja um consenso sobre a importância do valor da marca, um modelo de estimação único e uniformemente aceito ainda não surgiu, nem na perspectiva baseada no cliente ou consumidor nem na perspectiva da firma ou financeira. Assim, os profissionais de marketing ainda são desafiados a estimar o valor da marca. Além disso, é importante para a construção de um modelo de estimativa de valor da marca detectar as percepções dos consumidores e também apresentar uma estimativa monetária do valor da marca, satisfazendo às exigências de financistas, contabilistas e acionistas empresariais. A maioria dos modelos de valor da marca baseado no consumidor existentes não oferece uma estimativa monetária do valor da marca e muitos modelos de valor da marca baseado na firma não observam as percepções dos consumidores. A maioria deles não avalia o desempenho das marcas em futuros períodos de tempo. Esta pesquisa desenvolveu um modelo que permite estimar o valor da marca observando as probabilidades de escolha (manutenção ou troca) de marca pelos consumidores, com a aplicação da Matriz de Troca Markov. A matriz de troca de marca foi estimada por um estudo transversal, utilizando um modelo de escolha logit, analisando todas as marcas competidoras no mercado. Esta pesquisa também investigou o valor monetário da marca, utilizando o mecanismo de fluxo de caixa descontado. O modelo permite o cálculo do valor da marca de um produto, em particular, bem como o cálculo do valor da marca da empresa. Além disso, o modelo possibilita o estabelecimento da relação entre o mindset do cliente e a avaliação do desempenho de marca no mercado, comparando a marca de seus concorrentes. A integração entre valor da marca baseado no consumidor e valor da marca baseado na firma permite estimar o retorno financeiro das ações de marketing, verificando a contribuição de cada um dos condutores (consciência de marca, qualidade percebida, lealdade à marca, valor percebido, personalidade da marca e associações organizacionais) ao valor marca. / Although there is a consensus about brand equity importance, a single, uniformly accepted estimation model has not yet emerged, neither from consumer-based brand equity or firm or financial-based brand equity perspectives. Hence, marketing professionals are still challenged to estimate the value of the brand. Furthermore, it is important to build a brand equity estimation model, which detects the consumers’ perceptions and also presents a monetary estimation of brand equity, satisfying shareholders’ requirements. Most of the existent consumer-based brand equity models do not offer a monetary estimation of brand equity and many firm-based brand equity models do not observe consumers’ perceptions. Most of them do not evaluate the brands’ performance in future periods of time. This research developed a model that permits estimation of brand equity observing the consumers’ brand choices probabilities (purchase maintenance and brand-switching), by applying the Markov Matrix. The brand-switching matrix was estimated by a cross-sectional survey, using a logit choice model, analyzing all competing brand. This research also investigated the monetary value of the brand, using the discounted cash flow mechanism. Our model allows the calculation of the value of the brand of a product, in particular, as well as the calculation of the company's brand. Our model enables the establishment of the link between customer mindset and evaluating the performance of brand in market, comparing the brand to its competitors. The integration between consumer-based brand equity and firm or financial-based brand equity allows the estimation of the financial return of marketing actions, checking the contribution of each of the drivers (brand awareness, perceived quality, brand loyalty, perceived value, brand personality and organizational associations) in brand equity.

Embora haja um consenso sobre a importância do valor da marca, um modelo de estimação único e uniformemente aceito ainda não surgiu, nem na perspectiva baseada no cliente ou consumidor nem na perspectiva da firma ou financeira. Assim, os profissionais de marketing ainda são desafiados a estimar o valor da marca. Além disso, é importante para a construção de um modelo de estimativa de valor da marca detectar as percepções dos consumidores e também apresentar uma estimativa monetária do valor da marca, satisfazendo às exigências de financistas, contabilistas e acionistas empresariais. A maioria dos modelos de valor da marca baseado no consumidor existentes não oferece uma estimativa monetária do valor da marca e muitos modelos de valor da marca baseado na firma não observam as percepções dos consumidores. A maioria deles não avalia o desempenho das marcas em futuros períodos de tempo. Esta pesquisa desenvolveu um modelo que permite estimar o valor da marca observando as probabilidades de escolha (manutenção ou troca) de marca pelos consumidores, com a aplicação da Matriz de Troca Markov. A matriz de troca de marca foi estimada por um estudo transversal, utilizando um modelo de escolha logit, analisando todas as marcas competidoras no mercado. Esta pesquisa também investigou o valor monetário da marca, utilizando o mecanismo de fluxo de caixa descontado. O modelo permite o cálculo do valor da marca de um produto, em particular, bem como o cálculo do valor da marca da empresa. Além disso, o modelo possibilita o estabelecimento da relação entre o mindset do cliente e a avaliação do desempenho de marca no mercado, comparando a marca de seus concorrentes. A integração entre valor da marca baseado no consumidor e valor da marca baseado na firma permite estimar o retorno financeiro das ações de marketing, verificando a contribuição de cada um dos condutores (consciência de marca, qualidade percebida, lealdade à marca, valor percebido, personalidade da marca e associações organizacionais) ao valor marca. / Although there is a consensus about brand equity importance, a single, uniformly accepted estimation model has not yet emerged, neither from consumer-based brand equity or firm or financial-based brand equity perspectives. Hence, marketing professionals are still challenged to estimate the value of the brand. Furthermore, it is important to build a brand equity estimation model, which detects the consumers’ perceptions and also presents a monetary estimation of brand equity, satisfying shareholders’ requirements. Most of the existent consumer-based brand equity models do not offer a monetary estimation of brand equity and many firm-based brand equity models do not observe consumers’ perceptions. Most of them do not evaluate the brands’ performance in future periods of time. This research developed a model that permits estimation of brand equity observing the consumers’ brand choices probabilities (purchase maintenance and brand-switching), by applying the Markov Matrix. The brand-switching matrix was estimated by a cross-sectional survey, using a logit choice model, analyzing all competing brand. This research also investigated the monetary value of the brand, using the discounted cash flow mechanism. Our model allows the calculation of the value of the brand of a product, in particular, as well as the calculation of the company's brand. Our model enables the establishment of the link between customer mindset and evaluating the performance of brand in market, comparing the brand to its competitors. The integration between consumer-based brand equity and firm or financial-based brand equity allows the estimation of the financial return of marketing actions, checking the contribution of each of the drivers (brand awareness, perceived quality, brand loyalty, perceived value, brand personality and organizational associations) in brand equity.

Embora haja um consenso sobre a importância do valor da marca, um modelo de estimação único e uniformemente aceito ainda não surgiu, nem na perspectiva baseada no cliente ou consumidor nem na perspectiva da firma ou financeira. Assim, os profissionais de marketing ainda são desafiados a estimar o valor da marca. Além disso, é importante para a construção de um modelo de estimativa de valor da marca detectar as percepções dos consumidores e também apresentar uma estimativa monetária do valor da marca, satisfazendo às exigências de financistas, contabilistas e acionistas empresariais. A maioria dos modelos de valor da marca baseado no consumidor existentes não oferece uma estimativa monetária do valor da marca e muitos modelos de valor da marca baseado na firma não observam as percepções dos consumidores. A maioria deles não avalia o desempenho das marcas em futuros períodos de tempo. Esta pesquisa desenvolveu um modelo que permite estimar o valor da marca observando as probabilidades de escolha (manutenção ou troca) de marca pelos consumidores, com a aplicação da Matriz de Troca Markov. A matriz de troca de marca foi estimada por um estudo transversal, utilizando um modelo de escolha logit, analisando todas as marcas competidoras no mercado. Esta pesquisa também investigou o valor monetário da marca, utilizando o mecanismo de fluxo de caixa descontado. O modelo permite o cálculo do valor da marca de um produto, em particular, bem como o cálculo do valor da marca da empresa. Além disso, o modelo possibilita o estabelecimento da relação entre o mindset do cliente e a avaliação do desempenho de marca no mercado, comparando a marca de seus concorrentes. A integração entre valor da marca baseado no consumidor e valor da marca baseado na firma permite estimar o retorno financeiro das ações de marketing, verificando a contribuição de cada um dos condutores (consciência de marca, qualidade percebida, lealdade à marca, valor percebido, personalidade da marca e associações organizacionais) ao valor marca. / Although there is a consensus about brand equity importance, a single, uniformly accepted estimation model has not yet emerged, neither from consumer-based brand equity or firm or financial-based brand equity perspectives. Hence, marketing professionals are still challenged to estimate the value of the brand. Furthermore, it is important to build a brand equity estimation model, which detects the consumers’ perceptions and also presents a monetary estimation of brand equity, satisfying shareholders’ requirements. Most of the existent consumer-based brand equity models do not offer a monetary estimation of brand equity and many firm-based brand equity models do not observe consumers’ perceptions. Most of them do not evaluate the brands’ performance in future periods of time. This research developed a model that permits estimation of brand equity observing the consumers’ brand choices probabilities (purchase maintenance and brand-switching), by applying the Markov Matrix. The brand-switching matrix was estimated by a cross-sectional survey, using a logit choice model, analyzing all competing brand. This research also investigated the monetary value of the brand, using the discounted cash flow mechanism. Our model allows the calculation of the value of the brand of a product, in particular, as well as the calculation of the company's brand. Our model enables the establishment of the link between customer mindset and evaluating the performance of brand in market, comparing the brand to its competitors. The integration between consumer-based brand equity and firm or financial-based brand equity allows the estimation of the financial return of marketing actions, checking the contribution of each of the drivers (brand awareness, perceived quality, brand loyalty, perceived value, brand personality and organizational associations) in brand equity.

The Utah Department of Transportation (UDOT) manages and maintains a complex state-wide network of highways. Recent incidents such as the collapse of the I-35W bridge in Min- neapolis, Minnesota, and the I-85/Piedmont Road fire and subsequent bridge collapse in Atlanta, Georgia, have brought identification of transportation network vulnerabilities to the forefront of UDOT’s planning efforts. Traditional estimates of transportation network impacts have focused on increases to user travel time or the volume of affected traffic, but studies of these disasters have revealed that when facing a degraded transportation network, people adjust their trip making in terms of destination, mode, and route choice. The objective of this thesis is to evaluate the relative systemic criticality of highway links on Utah’s highway network using a logit-based model sensitive to changes in destination choice, mode choice, and route path. The current Utah Statewide Travel Model (USTM) does not incorporate user mode or destination choice, making it unsuitable for this task in its present condition. Consequently, this thesis develops a logit-based model structure that evaluates the cost of impaired destination choices and mode choices for home-based and non-home-based personal trips resulting from a damaged highway network. The choice model logsums capture the total value of user choices and can be readily converted to monetary values, making them ideal for this purpose. The logit-based model is then applied to 40 highway links located at strategic locations on Utah’s network. When compared with a more traditional travel time increase estimation, the logsum and travel time models provide categorically different cost estimates, where the logsum results are typically lower than travel time estimates, with implications for policy making and UDOT’s planning strategy. The results further suggest that freight trips are likely more important considerations than passenger trips, and should be considered in future research.

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由於社會變遷迅速，文化資產保存工作，無論在有形或無形資產方面均面臨了嚴苛的挑戰。許多為保存歷史建物、遺址、文物或技藝之民間組織或政府文化機構無不極力爭取以獲得必要的經費資源，以防止文化資產的快速流逝。近年來政府對文化資源的投入程度受到廣泛關注，在財政緊縮下，政府削減各項支出中有關文化設施之補助，或限縮地方政府的文化預算，引起各界對文化預算資源配置問題的熱烈討論，導致以經濟觀點衡量文化產出或文化設施之評價日顯重要。在俱歷史性之藝術或文化資源領域，由於其價值無法快速藉由市場價格機制訂出來，衡量文化政策之最適資源投資一直引起激烈爭議，在各部會資源競爭之下，為了獲得足夠的預算分配，政府各部門必須彰顯其對整體經濟效益之貢獻，因此近年來越來越多研究針對非市場財貨之公共投資進行經濟效益評估。調查民眾對文化公共財的願付價格，除可顯示民眾對文化公共財偏好強度以進行成本效益分析外，亦可作為該文化機構自行籌措財源擬訂定價策略之參考，並可提供政府當局財政配置及公共投資之依據，本篇研究將以非市場財貨評估中之條件評估法，以文建會所屬文化機構國立傳統藝術中心為例，求算民眾對該機構之願付價格。 / 實證結果，在估計參數值部份，發現文化資產保存重要性認同度、文化資產遺贈價值認同度、文化資產預算擴編認同度、年齡、文化產業消費頻率等變數，對受訪者的支付意願均有顯著影響；第一階段與第二階段的詢價金額係數估計值為負並且顯著，表示當詢價金額提升時，受訪者會傾向於不願意支付。在單界二元選擇問答下，Logit模型估算其值為181.56元，Probit模型估算其值為199.12元，在95％信心水準下區間估計值Logit模型其值為191.56元到171.56元之間，Probit模型其值為205.90元到192.34元之間；在雙界二元選擇問答下以Bivariabe Probit 估算結果得到第一次詢價的願付價格為145.69元，第二次詢價的願付價格為218.42 元，實證結果單界與雙界二元選擇模型願付價格差異不大。 / Nowadays, historic building, monument, and artifacts, facing difficult issue of damaging, are quickly dying away. Agencies and organizations whose mission is to protect and preserve historic and culturally important building, monument, and artifacts from the ravages of weather, pollution, development, and even use by the general public must compete urgently for needed resources. Government funding of the cultural arts has received considerable attention in recent years. Efforts to cut funding to the national endowment for the culture and declining budgets for public cultural organizations and art institution have raised questions about how much individuals value the culture and arts. Measuring the economic value of particular arts policies or public cultural organizations is difficult and important. The hard case for measuring economic value of cultural resources is that they are not captured readily by market prices. The appropriate resources to be allocated in public cultural or art institutions often get heated and considerable debate. Valuing the willingness to pay for cultural public goods, not only can be applied for measuring economic value to be used in benefit-cost analysis of public project, but also more efficient in the selection of investment program if the total value（use value and non-use value）can be estimated. The purpose of this study is using one of the non-market goods valuation method, contingent valuation method, to elicit a willingness to pay from individual for hypothetical changes in some situation, further more to value the use value and non-use value of the“National Center for Traditional Art ”. / The variables such as the IMPO,BEQU, BUDG, AGE, FRE1, have a significant positive effect on the WTP for a cultural public good valuing. The table broadly indicates that as the bid level is increased, the number of willing to pay the amount decreased. The empirical results show that under the single-bounded dichotomous choice model, the estimated WTP for Logit model is NT$181.56 and for Probit model is NT$199.12. Under the 95％ confidence, for Logit mode the estimated WTP is between NT $191.56 and NT $171.56, and for Probit model is between NT $205.90 and NT $192.34. Under the double-bounded dichotomous choice model, Bivariate Probit model was adopted to estimate the WTP. The first-estimated WTP is NT $145.69, and second-estimated WTP is NT $218.42. The estimated WTP under double bounded dichotomous choice model is not much different from the estimated WTP under single bounded dichotomous choice model.

每個人在面臨特定的選擇集合時, 可能會有不同的選擇行為發生, 如果將每個人的反 應集合起來, 組成一組資料, 利用這些資料, 我們就可以導出一種行為模式。一般的 行為模式都將應變數視為連續變數( 例如需求量),近年發展出的個體選擇模式(Discr -ete Choice Model)則將應變數視為間斷的(Discrete)孌數( 例如交通工具的選擇: 汽車=1、火車=2、飛機=3等等) 。藉由這種模式, 我們可以進一步研究或預測人類在 面臨各種選擇時所產生的行為。 一個行為模式, 包含了可以被觀察的自變數和未知的參數, 我們利用抽樣觀察而得的 資料來推估這些未知的參數, 但不同的抽樣方法會導致不同的估計值。一般而言, 在 這類問題中應用到的抽樣方法有三種:1. 簡單隨機抽樣、2.外生分層抽樣、3.內生分 層抽樣。本文主要的研究內容集中在探討運用不同的內生分層抽樣法所推估的參數值 之間的差異。 研究方法大致可分為三個步驟: 一. 閱讀前人的文獻, 彙總整理前人的方法, 并發現新的抽樣與估計法: 此法是先決 定內生分層后每層的抽樣比例, 再用系統抽樣的方法抽出樣本, 最后用最大概似法對 參數加以推估。以Binary Logit Model為例: P(1︱x)=1/(1+exp(-xb)) P(0︱x)=1/(1+exp(xb)) 其log likelihood fuction為 logL=Σ {y [log(gl)+log(p(1︱x )]+(1-y )[log(g0)+log(P(0︱x )]-log[gl P (1︱x )+g0 P(0︱x )]} 其中y =1 or 0;gi是選擇i 選項的抽樣比例(i=1 or 0);x 為自變數;b是欲估計的參 數。 二、證明利用新法所產生之估計式, 和前人所研究出的估計式同樣具有一致性。 三、模擬一組母體, 再比較新法與前人的估計式間的差異。