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The Global ETD Search service is a free service for researchers
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GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS DataDalumpines, Ron 26 September 2014 (has links)
Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity data at individual level. Global positioning systems (GPS) and geographical information systems (GIS) have been used to capture and process individual activity data, from determining activity locations to mapping routes to these locations. Potential applications of GPS data seem limitless but our tools and methods to make these data usable lags behind. In response to this need, this dissertation presents a GIS-based toolkit to automatically extract activity episodes from GPS data and derive information related to these episodes from additional data (e.g., road network, land use).
The major emphasis of this dissertation is the development of a toolkit for extracting information associated with movements of individuals from GPS data. To be effective, the toolkit has been developed around three design principles: transferability, modularity, and scalability. Two substantive chapters focus on selected components of the toolkit (map-matching, mode detection); another for the entire toolkit. Final substantive chapter demonstrates the toolkit’s potential by comparing route choice models of work and shop trips using inputs generated by the toolkit.
There are several tools and methods that capitalize on GPS data, developed within different problem domains. This dissertation contributes to that repository of tools and methods by presenting a suite of tools that can extract all possible information that can be derived from GPS data. Unlike existing tools cited in the transportation literature, the toolkit has been designed to be complete (covers preprocessing up to extracting route attributes), and can work with GPS data alone or in combination with additional data. Moreover, this dissertation contributes to our understanding of route choice decisions for work and shop trips by looking into the combined effects of route attributes and individual characteristics. / Dissertation / Doctor of Philosophy (PhD)
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Prevention of theft of official vehicles of the South African National Defence Force (SANDF) in the Gauteng ProvinceMathebula, Esewu Mxolisi 29 September 2014 (has links)
The South African National Defence Force (SANDF) was formed in 1994 after the
integration of different “defence forces” into one large force. The sole existence of the
SANDF is to protect the borders of the Republic of South Africa and its inhabitants.
Resources such as vehicles make it easier for the SANDF to conduct mobile patrols
and other operations to ensure that the organisation is always combat-ready.
Motor vehicle theft is a crime that affects both individual citizens and organisations in
South Africa; the SANDF is not immune to the crime. Many SANDF motor vehicles are
stolen almost every day, and in most cases, these vehicles are taken without a trace.
While there are security measures in place aimed at preventing theft of SANDF
vehicles but these methods have proven futile.
A literature review formed the basis of the study. Once the main theory and ideologies
were identified, unstructured interviews were undertaken to gather information from
various stakeholders. Observations were also conducted to determine behavioural
patterns within military bases/units with regard to the parking of SANDF vehicles, even
when the vehicles were parked in urban settings. Essentially, there is a problem
regarding the security of SANDF vehicles and also the security within military bases /
units. This study indicated that the SANDF loses vast amounts of money due to motor
vehicle theft in Gauteng Province. The findings also revealed that the current vehicle
security measures are outdated, ineffective and inadequate in preventing SANDF
vehicles from being stolen.
The recommendations are that the SANDF must invest more of its budget on vehicle
security, rather than continuing with fruitless and monetary expenditure by conducting
Board of Inquiries (BOI) or lengthy investigations in an attempt to relocate stolen
vehicles or to determine how a particular vehicle was stolen. The SANDF requires a
comprehensive system that should prevent the theft of its vehicles, as well as curbing
the misuse of vehicles which ultimately renders SANDF vehicles as easy targets. / Police Practice / M. Tech. (Policing)
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| 433 |
梭：在GMF 編輯器上以概念同步為基礎之即時模型同步輔助工具 / Shuttle: an Instant Model Synchronization Assistant for GMF Editors Based on Concept Synchronization高振益, Kao, Chen-yi Unknown Date (has links)
支援自動即時雙向工程（Roundtrip engineering，自即雙工）與重構，是當前先進整合開發環境的兩項殺手級特色。然而，當今自即雙工所實現的即時同步，僅針對特定塑模環境（如圖形使用者介面編排、物件類別設計等）量身訂製，並非任意同步。而精確字串匹配的彈性不足，也使以此為基礎的重構技術面臨些瓶頸。以上限制，使我們無法在跨模型、語言或文件的層次進行同步或重構，以滿足現今系統開發過程中的龐大資料同步需求。
我們的補強方案就是梭。這是一具在Eclipse【1】圖形化塑模框架（Graphical Modeling Framework，GMF【2】）下運作的塑模輔助引擎。梭可監聽GMF編輯器的模型元素輸入，同時連結元素與「同步概念」，以建立同步規則，最後依據規則，輸出視覺化的模型同步建議，輔助達成模型－模型間的資訊同步。
我們借鏡知識本體與資訊擷取「概念搜尋」中的「概念（Concept）」觀，提出了「概念同步」的想法。用以同步的「同步概念」，則延伸自詞網（WordNet【3】）的自然語言同義詞集合，代表著「擁有相關自然語言內容的模型元素間，應當同步」的關係。梭對模型元素屬性內容進行自然語言斷詞後，將斷詞結果投入詞網搜尋，以取得前述的相似內容。
梭以「概念」串連了原本難以即時同步的模型元素。梭的規則推論架構，也為未來的知識本體化、結構化模型同步推論、驗證，鋪好了道路。開發者的夢想──在開發的任何階段，系統皆能維持同步──離實現又邁進一步。 / Roundtrip engineering and refactoring are killer features of modern IDE systems. Most implementations of these features nowadays, however, are tailor-made for scenarios like GUI or UML diagramming ones and hence are hard to generalize; moreover, existing refactoring ways are usually restricted to exact string matching and are thus unable to synchronize artifacts with different occurrences of the equivalent term. These problems inhibit today's IDEs from supporting developments requiring synchronization across models, languages and documents.
Shuttle is a modeling assistant developed by us running on Eclipse GMF editors. It monitors users' input model elements and link them by related concepts automatically. Later modifications of an element will trigger rules to find the others under the same related concepts and result in various synchronization recommendations which developers may choose to take to enforce consistency among parts of the developed system.
The linking-triggering mechanism of Shuttle is based on what we call concept synchronization (CS), which is inspired by the idea of concept in ontology and concept search in information retrieval. CS captures the simple idea that model elements with related text descriptions would be very likely modified accordingly if one of them is changed by the developer. To detect all others related to a target model element, we establish a many-to-many mapping between elements and WordNet Synsets【3】according to element text descriptions ahead of time and then, with WordNet’s help【40】, all elements related to the target can be found by looking for those mapped to a Synset associated with the target.
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旅遊行程自動規劃系統的設計與實作 / MyTripPlan：The Design and Implementation of an Automatic Trip Planning System陳逸群, Chen, Yi Chun Unknown Date (has links)
近年來隨著全球化的發展，自助旅行的風氣蔚為風潮。背包客可以根據自己的喜好與條件，自己規劃旅遊路線與行程。一般規劃旅遊行程的過程費時而繁瑣，除了必須決定旅遊景點，還必須將景點開放時間、景點停留時間、交通方式、旅遊順序與路線、時間限制、住宿地點、經費等列入考量。
針對旅遊行程規劃，除了參考網友的行程規劃，目前已普遍有景點推薦、行程編輯系統，協助使用者規劃行程。但少有旅遊行程自動規劃系統。因此，本論文研發實作旅遊行程的自動規劃系統MyTripPlan。MyTripPlan具備景點推薦、景點停留與拜訪時間預估、路線規劃、行程規劃及行程調整的功能。
本系統MyTripPlan在離線時，先透過爬蟲程式由景點推薦網站取得熱門景點資訊、由相片分享網站取得景點相片時間以推估景點停留及拜訪時間、由交通查詢網站取得任兩景點間的推估交通時間。在線上時，當使用者輸入旅遊天數等時間限制、並由系統推薦景點勾選有興趣拜訪的景點及餐廳後，系統將運用定向排程演算法推論出符合時間限制的旅遊行程，呈現在地圖上，並結合交通網站，產生行程表。
經實驗效能驗證，以安排旅遊天數七天，五十六個景點所需要的行程規劃時間約為一秒鐘；使用者對於實作完畢的MyTripPlan系統與功能也都有滿意以上的評分。 / Travel planning process is time-consuming and tedious. To plan a trip, not only the attractions, but opening hours, timing cost, travel route, transportation, lodge, budget control and so on also need to be considered. While there are widespread attraction recommendation and itinerary editing systems to assist people to plan their trip, only few trip automated planning systems are developed.
In this thesis, MyTripPlan, an automatic trip planning system, is designed and developed. MyTripPlan The system provides users the capability of attraction recommendation, visiting and stay time estimation, route planning, trip planning and itinerary adjustments. In offline process, MyTripPlan collects popular attraction information from web content for attraction recommendation, gets the timestamp of attractions from photo-sharing websites to estimate visiting and stay time, and crawls traffic information from public transportation query site to estimate the travel time between attractions. Given the trip duration, MyTripPlan recommends attractions and restaurants, schedules and produces the trip itinerary automatically based on the team orienteering scheduling algorithm. The generated itinerary takes the user-preferred attractions, visiting and stay time constraints, and transportation information into consideration.
MyTripPlan presents the trip itinerary both in map and schedule list. The experiments show that the execution time for trip plan with fifty-six attractions in seven days requires about one second. Moreover, nineteen subjects were invited to evaluate the effectiveness of MyTripPlan. Most users were satisfied and gave excellent rating on the system performance.
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Prevention of theft of official vehicles of the South African National Defence Force (SANDF) in the Gauteng ProvinceMathebula, Esewu Mxolisi 29 September 2014 (has links)
The South African National Defence Force (SANDF) was formed in 1994 after the
integration of different “defence forces” into one large force. The sole existence of the
SANDF is to protect the borders of the Republic of South Africa and its inhabitants.
Resources such as vehicles make it easier for the SANDF to conduct mobile patrols
and other operations to ensure that the organisation is always combat-ready.
Motor vehicle theft is a crime that affects both individual citizens and organisations in
South Africa; the SANDF is not immune to the crime. Many SANDF motor vehicles are
stolen almost every day, and in most cases, these vehicles are taken without a trace.
While there are security measures in place aimed at preventing theft of SANDF
vehicles but these methods have proven futile.
A literature review formed the basis of the study. Once the main theory and ideologies
were identified, unstructured interviews were undertaken to gather information from
various stakeholders. Observations were also conducted to determine behavioural
patterns within military bases/units with regard to the parking of SANDF vehicles, even
when the vehicles were parked in urban settings. Essentially, there is a problem
regarding the security of SANDF vehicles and also the security within military bases /
units. This study indicated that the SANDF loses vast amounts of money due to motor
vehicle theft in Gauteng Province. The findings also revealed that the current vehicle
security measures are outdated, ineffective and inadequate in preventing SANDF
vehicles from being stolen.
The recommendations are that the SANDF must invest more of its budget on vehicle
security, rather than continuing with fruitless and monetary expenditure by conducting
Board of Inquiries (BOI) or lengthy investigations in an attempt to relocate stolen
vehicles or to determine how a particular vehicle was stolen. The SANDF requires a
comprehensive system that should prevent the theft of its vehicles, as well as curbing
the misuse of vehicles which ultimately renders SANDF vehicles as easy targets. / Police Practice / M. Tech. (Policing)
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Redução no tamanho da amostra de pesquisas de entrevistas domiciliares para planejamento de transportes: uma verificação preliminar / Reduction in sample size of household interview research for transportation planning: a preliminary checkAguiar, Marcelo Figueiredo Massulo 11 August 2005 (has links)
O trabalho tem por principal objetivo verificar, preliminarmente, a possibilidade de reduzir a quantidade de indivíduos na amostra de Pesquisa de Entrevistas Domiciliares, sem prejudicar a qualidade e representatividade da mesma. Analisar a influência das características espaciais e de uso de solo da área urbana constitui o objetivo intermediário. Para ambos os objetivos, a principal ferramenta utilizada foi o minerador de dados denominado Árvore de Decisão e Classificação contido no software S-Plus 6.1, que encontra as relações entre as características socioeconômicas dos indivíduos, as características espaciais e de uso de solo da área urbana e os padrões de viagens encadeadas. Os padrões de viagens foram codificados em termos de sequência cronológica de: motivos, modos, durações de viagem e períodos do dia em que as viagens ocorrem. As análises foram baseadas nos dados da Pesquisa de Entrevistas Domiciliares realizada pela Agência de Cooperação Internacional do Japão e Governo do Estado do Pará em 2000 na Região Metropolitana de Belém. Para se atingir o objetivo intermediário o método consistiu em analisar, através da Árvore de Decisão e Classificação, a influência da variável categórica Macrozona, que representa as características espaciais e de uso de solo da área urbana, nos padrões de viagens encadeadas realizados pelos indivíduos. Para o objetivo principal, o método consistiu em escolher, aleatoriamente, sub-amostras contendo 25% de pessoas da amostra final e verificar, através do Processamento de Árvores de Decisão e Classificação e do teste estatístico Kolmogorov - Smirnov, se os modelos obtidos a partir das amostras reduzidas conseguem ilustrar bem a freqüência de ocorrência dos padrões de viagens das pessoas da amostra final. Concluiu-se que as características espaciais e de uso de solo influenciam os padrões de encadeamento de viagens, e portanto foram incluídas como variáveis preditoras também nos modelos obtidos a partir das sub-amostras. A conclusão principal foi a não rejeição da hipótese de que é possível reduzir o tamanho da amostra de pesquisas domiciliares para fins de estudo do encadeamento de viagens. Entretanto ainda são necessárias muitas outras verificações antes de aceitar esta conclusão. / The main aim of this work is to verify, the possibility of reducing the sample size in home-interview surveys, without being detrimental to the quality and representation. The sub aim of this work is to analyze the influence of spatial characteristics and land use of an urban area. For both aims, the main analyses tool used was Data Miner called the Decision and Classification Tree which is in the software S-Plus 6.1. The Data Miner finds relations between trip chaining patterns and individual socioeconomic characteristics, spatial characteristics and land use patterns. The trip chaining patterns were coded in terms of chronological sequence of trip purpose, travel mode, travel time and the period of day in which travel occurs. The analyses were based on home-interview surveys carried out in the Belém Metropolitan Area in 2000, by Japan International Cooperation Agency and Pará State Government. In order to achieve the sub aim of this work, the method consisted of analyzing, using the Decision and Classification Tree, the influence of the categorical variable \"Macrozona\", which represents spatial characteristics and urban land use patterns, in trip chaining patterns carried by the individuals. Concerning the main aim, the method consisted of choosing sub-samples randomly containing 25% of the final sample of individuals and verifying (using Decision and Classification Tree and Kolmogorov-Smirnov statistical test) whether the models obtained from the reduced samples can describe the frequency of the occurrence of the individuals trip chaining patterns in the final sample well. The first conclusion is that spatial characteristics and land use of the urban area have influenced the trip chaining patterns, and therefore they were also included as independent variables in the models obtained from the sub-samples. The main conclusion was the non-rejection of the hypothesis that it is possible to reduce the sample size in home-interview surveys used for trip-chaining research. Nevertheless, several other verifications are necessary before accepting this conclusion.
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Redes neurais artificiais aplicadas na modelagem individual de padrões de viagens encadeadas a pé / Artificial neural networks applied in individual modeling of trip-chaining patterns by walkGonzales Taco, Pastor Willy 25 July 2003 (has links)
O objetivo deste trabalho foi desenvolver um modelo para reconhecer e reproduzir padrões de viagens encadeadas a pé. O processo de modelagem foi conduzido através da aplicação das técnicas das Redes Neurais Artificiais (RNAs), utilizando-se de uma rede estática MLP e de rede dinâmica Elman. A análise do desempenho do modelo foi baseada nos dados de uma pesquisa de Origem-Destino realizada, em 1987, pelo METRÔ-SP na Região Metropolitana de São Paulo. Na modelagem foi fixado o modo de viagem a pé, e, na abordagem seqüencial, padrões de viagens individuais foram representados em termos de dois componentes: duração da viagem e tipo de atividades. A análise foi realizada partindo da classificação geral e específica para cada segmento do encadeamento de viagens, o que permitiu a comparação dos resultados entre padrões de viagens observados e os reproduzidos pelas redes. Na classificação geral, cinco dos padrões previstos com maior freqüência pelas RNAs representaram em média 58,9% dos indivíduos no conjunto de dados usado para testar o desempenho do modelo. Para o vetor de duas e quatro viagens, as redes neurais reproduziram 50% das durações de viagem e 90% das atividades, tais como Trabalho e Escola. Embora esses resultados não pareçam muito robustos, não significa que eles estejam errados. As porcentagens acima representam a probabilidade de uma pessoa realizar viagens com aquelas durações ou tipo de atividades. / The main objective of this work was to develop a model for recognizing and reproduzing trip-chaining patterns by walk. The process of modeling was conducted applying the techniques of Artificial Neural Networks (ANNs), by using one of the static networks MLP and the Elman dynamic network. The analysis of the performance of the model was based on the origin-destination home-interview survey carried out by METRÔ-SP in São Paulo Metropolitan Area in 1987. The mode of trip by walk was fixed in the model, and, in the sequential approach, individual travel patterns were represented in terms of two components: trip duration and activity type. The analysis was accomplished starting from the general and specific classifications for each segment of the chained trips, which allowed the comparison of the results between the observed travel patterns and reproduced ones through ANNs. In general classification, 5 of the patterns most frequently predicted by the ANNs represented 58.9% of the individuals in the dataset used for testing the model performance. For the vectors of two and four trips, the neural networks reproduced 50% of trip durations and 90% of the activities, such as work and school. Although those results seem not so robust, it does not mean that they are wrong. The percentages above represent the probability of a person making trips with those durations or type of activities.
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Augusto Emilio Zaluar e os homens sem senhor: Vida cotidiana na peregrinação pela província de São Paulo, 1860 - 1861Dias, Alan Modesto 06 October 2006 (has links)
Made available in DSpace on 2016-04-27T19:31:26Z (GMT). No. of bitstreams: 1
HIS - Alan Modesto Dias.pdf: 568014 bytes, checksum: 6b0b4be22b55c1167f97086d98b926b4 (MD5)
Previous issue date: 2006-10-06 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The dissertation analyzes the daily routine of poor and free men conductors, small
grocers, leprous, women and hillbillies described by the Portuguese writer Augusto Emílio
Zaluar, in his written literary work Peregrinação pela Província de São Paulo, 1860 1861.
(Peregrination through the Province of São Paulo). His documentary scope is based on trip
accounts from the 19th century, work manuscripts and letters from the Agricultural Congress
of Rio de Janeiro in 1878. The dissertation is divided into 3 chapters as following. The first
chapter goes over the universe of particularities that establish the process of repeated visits of
the Portuguese America, the intentions of foreign travelers from the 19th century, as well as
their assessment prospect before the values and customs of poor and free men. The second
chapter goes over the peculiarities of the roads between small cities from countryside and
conductors and small grocer s daily routine. The third chapter goes over the urban scenery
and the daily routine of leprous, women and hillbillies / A dissertação analisa a vida cotidiana dos homens pobres e livres condutores,
vendeiros, leprosos, mulheres e caipiras descritos pelo português Augusto Emílio Zaluar,
em sua obra Peregrinação pela Província de São Paulo, 1860 1861. Seu escopo documental
é fundamentado em relatos de viagem do século XIX, ofícios manuscritos e cartas do
Congresso Agrícola do Rio de Janeiro de 1878. A dissertação está dividida em três capítulos.
No primeiro analisa o universo de especificidades que determinaram o processo de revisitação
da América Portuguesa, a intencionalidade dos viajantes de origem estrangeira no século
XIX, assim como a sua perspectiva avaliativa diante dos valores e costumes dos homens
pobres e livres. No segundo, aborda as particularidades dos caminhos terrestres entre as
cidades do interior e a vida cotidiana de condutores e vendeiros. No terceiro, analisa o cenário
urbano e a cotidianidade de leprosos, mulheres e caipiras
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Redes neurais artificiais aplicadas na modelagem individual de padrões de viagens encadeadas a pé / Artificial neural networks applied in individual modeling of trip-chaining patterns by walkPastor Willy Gonzales Taco 25 July 2003 (has links)
O objetivo deste trabalho foi desenvolver um modelo para reconhecer e reproduzir padrões de viagens encadeadas a pé. O processo de modelagem foi conduzido através da aplicação das técnicas das Redes Neurais Artificiais (RNAs), utilizando-se de uma rede estática MLP e de rede dinâmica Elman. A análise do desempenho do modelo foi baseada nos dados de uma pesquisa de Origem-Destino realizada, em 1987, pelo METRÔ-SP na Região Metropolitana de São Paulo. Na modelagem foi fixado o modo de viagem a pé, e, na abordagem seqüencial, padrões de viagens individuais foram representados em termos de dois componentes: duração da viagem e tipo de atividades. A análise foi realizada partindo da classificação geral e específica para cada segmento do encadeamento de viagens, o que permitiu a comparação dos resultados entre padrões de viagens observados e os reproduzidos pelas redes. Na classificação geral, cinco dos padrões previstos com maior freqüência pelas RNAs representaram em média 58,9% dos indivíduos no conjunto de dados usado para testar o desempenho do modelo. Para o vetor de duas e quatro viagens, as redes neurais reproduziram 50% das durações de viagem e 90% das atividades, tais como Trabalho e Escola. Embora esses resultados não pareçam muito robustos, não significa que eles estejam errados. As porcentagens acima representam a probabilidade de uma pessoa realizar viagens com aquelas durações ou tipo de atividades. / The main objective of this work was to develop a model for recognizing and reproduzing trip-chaining patterns by walk. The process of modeling was conducted applying the techniques of Artificial Neural Networks (ANNs), by using one of the static networks MLP and the Elman dynamic network. The analysis of the performance of the model was based on the origin-destination home-interview survey carried out by METRÔ-SP in São Paulo Metropolitan Area in 1987. The mode of trip by walk was fixed in the model, and, in the sequential approach, individual travel patterns were represented in terms of two components: trip duration and activity type. The analysis was accomplished starting from the general and specific classifications for each segment of the chained trips, which allowed the comparison of the results between the observed travel patterns and reproduced ones through ANNs. In general classification, 5 of the patterns most frequently predicted by the ANNs represented 58.9% of the individuals in the dataset used for testing the model performance. For the vectors of two and four trips, the neural networks reproduced 50% of trip durations and 90% of the activities, such as work and school. Although those results seem not so robust, it does not mean that they are wrong. The percentages above represent the probability of a person making trips with those durations or type of activities.
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Redução no tamanho da amostra de pesquisas de entrevistas domiciliares para planejamento de transportes: uma verificação preliminar / Reduction in sample size of household interview research for transportation planning: a preliminary checkMarcelo Figueiredo Massulo Aguiar 11 August 2005 (has links)
O trabalho tem por principal objetivo verificar, preliminarmente, a possibilidade de reduzir a quantidade de indivíduos na amostra de Pesquisa de Entrevistas Domiciliares, sem prejudicar a qualidade e representatividade da mesma. Analisar a influência das características espaciais e de uso de solo da área urbana constitui o objetivo intermediário. Para ambos os objetivos, a principal ferramenta utilizada foi o minerador de dados denominado Árvore de Decisão e Classificação contido no software S-Plus 6.1, que encontra as relações entre as características socioeconômicas dos indivíduos, as características espaciais e de uso de solo da área urbana e os padrões de viagens encadeadas. Os padrões de viagens foram codificados em termos de sequência cronológica de: motivos, modos, durações de viagem e períodos do dia em que as viagens ocorrem. As análises foram baseadas nos dados da Pesquisa de Entrevistas Domiciliares realizada pela Agência de Cooperação Internacional do Japão e Governo do Estado do Pará em 2000 na Região Metropolitana de Belém. Para se atingir o objetivo intermediário o método consistiu em analisar, através da Árvore de Decisão e Classificação, a influência da variável categórica Macrozona, que representa as características espaciais e de uso de solo da área urbana, nos padrões de viagens encadeadas realizados pelos indivíduos. Para o objetivo principal, o método consistiu em escolher, aleatoriamente, sub-amostras contendo 25% de pessoas da amostra final e verificar, através do Processamento de Árvores de Decisão e Classificação e do teste estatístico Kolmogorov - Smirnov, se os modelos obtidos a partir das amostras reduzidas conseguem ilustrar bem a freqüência de ocorrência dos padrões de viagens das pessoas da amostra final. Concluiu-se que as características espaciais e de uso de solo influenciam os padrões de encadeamento de viagens, e portanto foram incluídas como variáveis preditoras também nos modelos obtidos a partir das sub-amostras. A conclusão principal foi a não rejeição da hipótese de que é possível reduzir o tamanho da amostra de pesquisas domiciliares para fins de estudo do encadeamento de viagens. Entretanto ainda são necessárias muitas outras verificações antes de aceitar esta conclusão. / The main aim of this work is to verify, the possibility of reducing the sample size in home-interview surveys, without being detrimental to the quality and representation. The sub aim of this work is to analyze the influence of spatial characteristics and land use of an urban area. For both aims, the main analyses tool used was Data Miner called the Decision and Classification Tree which is in the software S-Plus 6.1. The Data Miner finds relations between trip chaining patterns and individual socioeconomic characteristics, spatial characteristics and land use patterns. The trip chaining patterns were coded in terms of chronological sequence of trip purpose, travel mode, travel time and the period of day in which travel occurs. The analyses were based on home-interview surveys carried out in the Belém Metropolitan Area in 2000, by Japan International Cooperation Agency and Pará State Government. In order to achieve the sub aim of this work, the method consisted of analyzing, using the Decision and Classification Tree, the influence of the categorical variable \"Macrozona\", which represents spatial characteristics and urban land use patterns, in trip chaining patterns carried by the individuals. Concerning the main aim, the method consisted of choosing sub-samples randomly containing 25% of the final sample of individuals and verifying (using Decision and Classification Tree and Kolmogorov-Smirnov statistical test) whether the models obtained from the reduced samples can describe the frequency of the occurrence of the individuals trip chaining patterns in the final sample well. The first conclusion is that spatial characteristics and land use of the urban area have influenced the trip chaining patterns, and therefore they were also included as independent variables in the models obtained from the sub-samples. The main conclusion was the non-rejection of the hypothesis that it is possible to reduce the sample size in home-interview surveys used for trip-chaining research. Nevertheless, several other verifications are necessary before accepting this conclusion.
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