Global ETD Search

81	Estimating the number of cars in UK and US households Lawal, Temitope A. January 2021 (has links) The quest towards resolving concerns about transportation energy consumption and emissions across nations has created more interests to investigate factors responsible for households’ car ownership. While literature holds an extensive body of investigation usually compartmentalised in individual different disciplines, limited efforts have been made to promote inter-linkages of this strand of research across different disciplines. To fill this gap, this study developed an integrating Multinomial logit (MNL) model to examine the impact of some rarely-investigated and conventional explanatory variables, including: ethnicity, accommodation tenure, settlement nature, mental belief, environmental concern, geographical regions, household structure, driving licence, number of household income earners and household income, on car ownership. Analysis based on rich data sets of British Household Survey and US Consumer Expenditure Survey found not only the conventional explanatory variables to be significantly linked to the number of cars in the US and UK households, but also the rarely-investigated psychological variables were found to be significantly linked as well. As Socio-demography, Geography and Psychology impact on how people and households process information and assess market offers (e.g., products and services), this study presents findings which have beneficial implications for policymakers and transportations planners, including those who would like to alter people’s behaviour from private car ownership to public transportation use, car sellers in terms of how to identify and reach potential customers, provision of alternative forecasting approaches to car ownership scholars as well as possible consideration for general car ownership decision making. Caution should be taken when interpreting the relationship between psychological factors and car ownership since the psychological factors adopted are measure representatives from databases used with limitations in the factor structure for a representative sample of the countries’ population. Car ownership Household characteristics Consumer behaviour Consumer Expenditure Survey Multinomial logit Nested logit National Travel Survey United Kingdom (UK) United States of America (USA) Variables Socio-demographic factors Psychological factors Geographical factors
82	Contribution to the intercity modal choise considering the intracity transport systems : application of an adapted mixed multinomial Logit model for the Jakarta-Bandung corridor / Contribution au choix modal interurbain en considérant les systèmes de transport intra-urbains : application d'un modèle LOGIT mixte multinomial adapté au corridor Jakarta-Bandung Barus, Lita Sari 30 October 2015 (has links) Ce travail de recherche traite de la problématique des transports dans les villes d’Indonésie, Jakarta et Bandung, mais également de la grande concurrence modale du trajet Jakarta-Bandung et Bandung-Jakarta. Les préférences des passagers sont des variables très importantes à connaître en raison de leurs impacts pour choisir un mode de transport parmi d’autres. Dans les transports, le modèle Logit est largement utilisé comme une méthode pour aborder la problématique du choix de transport multimodal comportant de multiples variables, mais dans la présente recherche, ces modèles ne sont pas appropriés pour la résolution de nos problèmes, car il y a des variables particulières à identifier et à prendre en compte. Par conséquent, nous avons développé pour nos besoins le modèle « Logit Mixed Multinomial Adapté (LMMA) » comme outil dédié à l’analyse décisionnelle dans le choix des modes de transport des passagers. La première partie de nos travaux de recherches porte sur l’identification et la compréhension des problèmes de transports intra-cité d’origine et de destination pour le choix du mode de transport entre Jakarta et Bandung (et puis entre Bandung et Jakarta). La seconde partie concerne le processus de décision final en proposant et en analysant les résultats d’un questionnaire adressé à de nombreux utilisateurs de la liaison Jakarta-Bandung (et Bandung-Jakarta). L’analyse permet pour chaque situation d’origine et de destination, et en tenant compte des services offerts par chaque mode inter-cité, d’identifier quel est le mode le plus compétitif. / An ideal city or intercity transport system is one where all the transport networks, involving in general different modes of transport, could serve together the cities connections to fulfill a passenger demand and satisfaction. Each transport network should have a logical layout (as possible with minimum discontinuities) to meet the required demands. Also in that ideal system, the different modes of transport should not only have their own good performances but also the exchange between modes should be done with harmony. The conditions as mentioned above are worldwide challenges. The present work deals with the transportation problematic between two Indonesian cities, and also with the high modal competition on the Jakarta-Bandung corridor. On that corridor, road transport is currently the main demanding mode for passengers transportation. The airlines cannot compete and discontinued their operations to this route. Nowadays, railway transport is decaying. Passengers preferences are the main variables for the final modal choice. It is necessary to know preferences due to their decisions impacts to choose one mode over the others. Those preferences are in fact not simple to express in a complex city and intercity transport system. In transportation, the Logit model is widely used as a method to explore the problematic of modal choices involving a lot of different variables. There are several Logit models already developed, such as “General Extreme Value”, “Probit”, and “Nested model”, but in this research, they are not compatible to solve our defined problems because there are some particular identified variables to be taken into account. Therefore we propose the "Adapted Mixed Multinomial Logit (AMML)" Model as a tool for analysis towards passenger's decision in modal choices. On the Jakarta-Bandung corridor, modal choices are influenced by the encountered problems in intercity transport at origin and destination. One part on this research deals with identification and understanding of the intracity transport problems of origin and destination on the choice of transport mode in Jakarta-Bandung corridor (Jakarta-Bandung and Bandung-Jakarta direction). The second part of this research deals with the final decision process by analyzing the results of questionnaires addressed to many users of the Jakarta-Bandung corridor. The five main variables of the last questionnaire are travel time, overall cost, security conditions, quality of travel information and connectivity conditions relevant to intercity transport and intracities transport conditions as well. After validation of the questionaires, this research uses the AMML model to get final decision result by comparing one mode among three intercity transport mode (train, minibus, and car) using the values of the variables. Taking into account the characteristics of each intercity mode of transportation, the analysis identifies the most competitive intercity transport mode for each situation from departure city to arrival city. Using alternative public and private transport modes policies, one could in the future modify passenger choice on intercity transport mode. Therefore, this study is relevant for improving of intracity and intercity transport systems. Concurrence modale Choix modal Préférences des passagers Modèle Logit Analyse décisionnelle Corridor Jakarta-Bandung Modal competition Modal choice Passenger's preferences
83	跨界投資與在地再投資區位選擇研究 / A study on location selection of trans-border investment and reinvestment in home country 王冠斐 Unknown Date (has links) 本研究著眼於台灣經濟轉型、中國經濟的崛起與台灣企業組織的變化，從台灣企業集團的總部設立、跨界投資的區位選擇及在地再投資三個面向進行討論，期望在既有的研究基礎上，就台灣廠商在兩岸投資區位佈點的考量提出完整性的觀察，並強化既有的研究。首先，以台灣1000大製造業為研究樣本，選擇包括純辦公室使用、研發設計、台商一千大、跨國生產網絡、外資企業、員工人數、資本總額、知識密集型、傳統型製造業等變項分別代表總部功能、跨界治理能力及企業屬性三大類變數，透過二元羅吉特模型以及集群分析方法，探討台灣企業在首都、都會區以及生產性服務業及創新氛圍同質性地區的總部設立區位選擇行為。實證的結果發現，代表企業屬性變數的資產總額、員工人數和產業別明顯影響台灣製造業廠商在首都設立總部的區位選擇，而總部功能為純辦公室使用或設有研發機構者更傾向將總部設立於首都或都會區，跨界治理能力的影響則未能獲得證實。另外，過去國內在研究企業總部地點選擇研究上較少從創新氛圍角度出發，而本研究實證的結果發現，台灣製造業廠商企業總部的區位選擇不僅受到地區生產性服務業的影響，也受到地區創新氛圍的影響。在跨界投資區位選擇部分，本研究以台灣250大企業集團中的知識密集型製造業集團為研究對象，以台灣、環渤海地區、長江三角洲地區、珠江三角洲地區為研究場域，選擇企業特性與投資區位條件變數，並以多項羅吉特模型進行實證分析。其中，企業特性變數為產業類別、投資經驗、投資時間等三項因子，而投資區位條件則有勞工薪資、市場規模、區域創新強度及外資投資強度等因子。實證結果發現，代表經濟發展階段的投資時間變項確實會影響企業集團的區位選擇行為，產業的類別不同其區位選擇也會不同，先前的投資經驗雖然影響區位選擇。但是與過去研究不同的是，本次實證發現對台灣企業來說面對相似而且鄰近的市場，進入新市場的動機可能比過去的投資經驗來得重要的多，同時投資區位條件亦會影響區位選擇行為。另外，過去較少直接連結廠商生產面的區域創新能力亦明顯影響企業集團的區位選擇，因此本研究認為區域創新活動對於跨國企業在地化取得知識及技術亦具有相當重要的意義。在地再投資部分以台灣製造業1000大廠商中知識密集型製造業為研究對象，並以工業地域觀點所劃分的台灣地區北、中、南三大區域為研究場域，選擇包括在台投資經驗、總部區位、第一次投資決策、路徑依循等企業廠商組織決策之屬性變數，以及包含區域中科學園區的設立、產業專業化係數、雜異化指標等區域環境變數，透過多項羅吉特模型進行實證分析。實證的結果發現，總部區位確實影響後續再投資的工廠區位選擇，第一次的投資決策經驗對於第二次投資的區位選擇行為影響比總部區位的影響明顯，代表時間演進而產生路徑相依的地區經濟型態差異變項也確實會影響區位選擇行為。而當區域內科學園區的發展相較未臻成熟時，其區域的賦能仍不足以吸引企業廠商進駐，至於台灣企業的再投資區位選擇基於對區域特性的了解較偏好區域內工業地域的地方化經濟，而不偏好區域內工業地域的都市化經濟。 / Stressed on the Taiwanese economical transition, the up-rising of Chinese economy and the change of Taiwanese enterprise organization as well as based on the past research, this study explores the factors affecting location selection behavior of Taiwanese firms across Taiwan Strait from three aspects including the establishment of enterprise headquarter, cross-border investment and local re-investment. On the establishment of enterprise headquarter, the top 1000 manufacturing firms in Taiwan were sampled and some factors were analyzed including office type, R&D, multinational production network, foreign enterprise, number of employee, total asset, knowledge-intensive business, and traditional manufacturing firms. However, these factors could be classed into three fields: headquarter function, cross-border management ability and firm characteristics. Then, the location selection behavior of Taiwanese enterprise headquarter was examined by the techniques of binary logit model and cluster analysis technique among capital area, urban area and homogenous area with productive service industry and innovation-based cluster. The results of empirical analysis show that the factors represented firm characteristics including total asset, number of employee and enterprise type significantly affected the location selection of Taiwanese enterprise headquarter. Furthermore, it is also verified that the enterprise headquarter had been established in capital or urban area if the headquarter was provided with R&D or simply used as office, but the effect of cross-border management upon headquarter establishment is insignificant. The effect of innovation-based cluster upon location selection of enterprise headquarter is seldom studied in the past. However, according to empirical results in this study, they show that location selection of Taiwanese enterprise headquarter is affected not only by local Productive Service industry but also by regional innovation-based cluster. On the location selection of cross-border investment, this study focused on the area of Taiwan, Bohai Economic Rim, Yangtze River Delta and Pearl River Delta. The top 250 Taiwanese enterprise groups were taken into consideration, and the multinomial Logit model was adopted for empirical analysis in which firm characteristics and location conditions were chosen as research variables. Where, firm characteristics contained industrial type, investing experience and investment time, and location conditions included labor cost, market scale, regional innovation intensity and foreign investment intensity. The empirical results indicate that industrial type and investment time significantly affect the selection of investment locations. In contrast, investment experience only slightly influences the selection of investment locations. In addition, we find that entrepreneurial motivation to enter new markets may be much more influential than prior location investment experiences for Taiwanese enterprises functioning within similar markets. Regional differences shaping investment conditions in Taiwan and mainland China also affect the selection of investment locations. Our analysis shows a particularly strong linkage between regional innovation capacity and the selection of investment locations. This implies that regional innovation capacity plays a very important role in the selection of investment locations for multinational enterprises On local re-investment, the top 1000 knowledge-intensive manufacturers in Taiwan were the samples divided by region into the northern, central and southern Taiwan groups by administrative region. The factors affecting organizational decisions were the attribute variables, including Taiwan investment experience, headquarters location, first investment experience and path dependence; and the factors affecting location selection were the regional environment variables, including regional science park status, industry specialization coefficient and Hirschman-Herfindahl index (HHI). The multinomial Logit model was used for empirical analysis, and the results show that the headquarters location affects plant location selection in re-investment, and the first investment experience has a more significant effect on the plant location selection in the second investment than the headquarters location, suggesting that the path-dependent heterogeneity in regional economic style developed over time affects location selection. Also, the immaturity of regional science parks affects plant location selection when regional empowerment cannot attract enterprises. Lastly, Taiwanese enterprises prefer regions with localized economies to regions with urbanized economies for plant location selection. 製造業企業集團總部再投資區位選擇二元羅吉特多項羅吉特 Manufacturing Firms Enterprise Group Enterprise Headquarter Re-investment Location Selection Binary Logit Multinomial Logit Model
84	Investigating the Single Category Belief Problem in a Hybrid Product Aziz, Salma 18 August 2011 (has links) Existing research suggests that when consumers encounter hybrid products or boundary-spanning products with attributes belonging to multiple categories, consumers tend to generate inferences based on only a single product category. Reliance on a single category for inferencing is termed as the “single category belief problem” which has been regarded as a vital marketing challenge because it leads consumers to underestimate the true utility of a hybrid product as certain product attributes are ignored. Our objective was to explore whether single category beliefs manifest in consumer choice for a hybrid product when strategically placed within varying contexts. The research used discrete choice experiment (DCE) to test hypotheses. Our research confirms that the single category belief is evident in consumer choice. We also found that the context the hybrid product is placed within has a major influence on what consumers preferred the most. Depending on the context a hybrid product was seen in had significant influence on how consumers evaluated product attributes and made purchase decisions. The findings for this research may be very beneficial for marketers. Hybrid Product Single Category Belief Problem Categorization Multiple Category Belief Explicit Cues Labeling Product Positioning Context Effect Context Categories Product Category Product Placement New Products New Technology Smartphone Cellphone GPS Global Positioning System Camera Discrete Choice Experiment DCE G-MNL Model Generalized Multinomial Logit Model MNL Quantitative Research Marketing Consumer Studies Consumer Inferences Consumer Choice Choice High-tech Products Blackberry
85	台北捷運聯合開發住宅選擇行為與旅運行為之研究 / The research of Taipei MRT joint development of residential choice behavior and travel behavior 黃永漢 Unknown Date (has links) 近年來，國內有許多研究提倡大眾運輸導向發展 (Transit Oriented Development)的理念，政府也大力推動大眾運輸系統的建設，其中最為重要的是捷運的建設，在台北都會區，捷運路網的建設正逐步完成，與捷運建設息息相關的捷運聯合開發(Transit Jointed Development)也隨之蓬勃發展，同時，捷運聯合開發亦是我國推動大眾運輸導向發展普遍的作法之一。目前台北都會區目前共有82處聯合開發基地，已完工基地有35處，可容納6,317個家戶，以及755,773.69帄方公尺樓地板面積，對於減緩日益嚴重的都市住宅問題，有一定程度的幫助。但在規劃聯合開發住宅時，聯合開發住宅在不同類型、特性之捷運場站中，將面臨到許多問題，如：純住宅型態或住商混合型態較能符合民眾之需求？哪些家戶會選擇聯合開發住宅？又其家戶類型以及選擇原因為何？這些問題如何解決，係本研究欲探討之內容，因此，本研究以台北捷運聯合開發已完工且辦理租售作業之開發基地作為研究對象，並篩選出9處聯合開發基地進行實證研究，透過問卷調查的方式，瞭解民眾之聯合開發住宅選擇行為與旅運行為，並透過二項與多項羅吉特模型，探討影響民眾聯合開發住宅選擇行為之影響因素。實證結果發現，在旅運行為方面，聯合開發住宅住戶之大眾運輸使用率大幅增加，在通勤時間與花費方面，通勤時間與花費均減少。除此之外，聯合開發住宅住戶之汽車持有率與使用頻率均大幅減少。在家戶特性方面，捷運聯合開發住宅住戶之家戶規模普遍較小，且家計負責人之年紀普遍較為年輕，進一步形成其他特性，如：就學人口比例較低、家戶月收入較低等。在影響因素方面，家戶規模、住宅帄均單價、住宅規模對民眾選擇不同類型之聯合開發住宅有顯著影響。最後依據實證結果，建議未來聯合開發住宅之規劃應加入TOD的規劃原則，對於聯合開發住宅之坪數、商業面積，應依捷運場站之類型進行調整，使聯合開發住宅之效益達到最大。 / In recent years, there are many researches promote the idea of the transit-oriented development. The government also vigorously promotes this infrastructure projects. One of the most important projects is the development of the MRT system. In Taipei metropolitan area, while the construction of the MRT network is gradually completed, the transit jointed dvelopment is also flourishing. Moreover, transit jointed development is the most common way in order to promote TOD. Currently, there are 82 Transit Jointed Development bases in Taipei metropolitan area. 35 of the bases have already completed, which can accommodate 6,317 household with 75,577,369 square meters of floor area. It certainly will help to alleviate the problem of urban housing. However, in planning of the Jointed Residential Development, it will face many problems due to the different types of characteristics of the MRT station. For example, which households will choose a jointed development dewilling? What is the reason of choosing jointed development dewilling? How to solve these problems? These are the contents of the study. Therefore, in this study, we target the bases that have already been completed and applied for rental operations in transit jointed development as the research object, and select 9 of them for the empirical research. In order to understand people’s choice behavior in jointed development dewilling, we use survey as a method, and explore the factors that affect people’s choice behavior by applying Binary Logit and Multinomial Logit Models. The results of empirical research show that households in the jointed development dewilling increase their public transport usage and reduce their commuting time and costs. In addition, their car ownership rate and frequency of use are significantly reduced. In the aspect of household characteristics, the households in the jointed development in the household scale are generally small and relatively young age of the householder. Those characteristics are going to further the formation of the other features, such as: the lower the proportion of student population and lower income households. Impact factors, such as the size of the household, the average residential price, residential scale on the people choose different types of joint development dewilling have a significant effect. Finally, according to the empirical results, it is recommended that the TOD should be added to the planning principle of the future Joint Residential Development. For the Jointed Residential Development, the size of house and commercial area should be adjusted along with the MRT in order to maximize the efficiency. 大眾運輸導向發展捷運聯合開發住宅區位選擇旅運行為二項羅吉特多項羅吉特 word：Transit Oriented Development Transit Jointed Development Residential Location Choice Travel Behavior Binary Logit Multinomial Logit.
86	Family, work and welfare states in Europe: women's juggling with multiple roles :a series of empirical essays / Famille, emploi et état-providence: la jonglerie des femmes avec leurs multiples rôles O'Dorchai, Sile Padraigin 24 January 2007 (has links) The general focus of this thesis is on how the family, work and the welfare system are intertwined. A major determinant is the way responsibilities are shared by the state, the market and civil society in different welfare state regimes. An introductory chapter will therefore be dedicated to the development of the social dimension in the process of European integration. A first chapter will then go deeper into the comparative analysis of welfare state regimes, to comment on the provision of welfare in societies with a different mix of state, market and societal welfare roles and to assess the adequacy of existing typologies as reflections of today’s changed socio-economic, political and gender reality. Although they stand strong on their own, these first two chapters also contribute to contextualising the research subject of the remainder of the thesis: the study and comparison of the differential situation of women and men and of mothers and non-mothers on the labour markets of the EU-15 countries as well as of the role of public policies with respect to the employment penalties faced by women, particularly in the presence of young children. In our analysis, employment penalties are understood in three ways: (i) the difference in full-time equivalent employment rates between mothers and non-mothers, (ii) the wage penalty associated with motherhood, and (iii) the wage gap between part-time and full-time workers, considering men and women separately. Besides from a gender point of view, employment outcomes and public policies are thus assessed comparatively for mothers and non-mothers. Because women choose to take part in paid employment, fertility rates will depend on their possibilities to combine employment and motherhood. As a result, motherhood-induced employment penalties and the role of public policies to tackle them should be given priority attention, not just by scholars, but also by politicians and policy-makers. / Doctorat en Sciences économiques et de gestion / info:eu-repo/semantics/nonPublished Economie public policies/politiques publiques gender/genre employment/emploi multinomial logit/régression logistique OLS/MCO
87	Digital Soil Mapping of the Purdue Agronomy Center for Research and Education Shams R Rahmani (8300103) 07 May 2020 (has links) This research work concentrate on developing digital soil maps to support field based plant phenotyping research. We have developed soil organic matter content (OM), cation exchange capacity (CEC), natural soil drainage class, and tile drainage line maps using topographic indices and aerial imagery. Various prediction models (universal kriging, cubist, random forest, C5.0, artificial neural network, and multinomial logistic regression) were used to estimate the soil properties of interest. Agricultural Land Management Agricultural Land Planning Sustainable Agricultural Development Agronomy Digital soil mapping (DSM) Organic matter content Cation exchange capacity Natural soil drainage classes geostatistical methods Cubist modeling Random Forest models Universal Kriging C5.0 or see5 modeling Artificial neural network Tile drainage lines Soil spatial variation Plant Phenotyping Aerial Imagery digital elevation model (DEM) terrain attributes Soil and Landscape Very poorly drained poorly drained somewhat poorly drained moderately well drained User's accuracy producer's accuracy kappa coefficient Multinomial logit regression Tile Probe topographic wetness index Topographic Position Index slope height cross sectional curvature Relative slope position channel network distance SSURGO soils data internal validation external validation
88	GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS Data Dalumpines, 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) GPS time use diary episode extraction multinomial logit travel behavior mode detection episode reconstruction GIS map-matching route choice path size logit potential path area scale estimation Python ArcGIS activity analysis trip reconstruction smartphone global positioning system geographic information system toolkit work trip shop trip potential activity location land use activity episode travel episode stop episode transferability scalability modularity scripting big data travel survey respondent burden preprocessing multipath error tracking purpose detection segmentation data filter data smoothing fuzzy logic neural network decision tree rule-based algorithm trajectory point road network network dataset gateway shortest path horizontal dilution of precision HDOP commonality factor mode transfer point Halifax Nova Scotia Space-Time Activity Research variance inflation factor shapefile comma-separated values traveling salesman problem data mining branch-and-bound algorithm pedestrian network alternative route observed route route efficiency route attributes distance time heading bearing duration acceleration latitude longitude coordinate overlay analysis intersect shopping module data logger walk likelihood ratio test classification table path generation kappa statistic degrees data collection transportation research automate framework ArcToolbox spatio-temporal navigation positioning trace path spatial data topology horizontal accuracy SPSS Stata spatial resolution temporal resolution household survey trip reporting proximity analysis DMTI Desktop Mapping Technologies Inc. road intersection route overlap left turn right turn location analysis time geography spatial statistics buffer analysis cycling bus transit public transportation GEOIDE AGILE data need raw data urban canyon endpoint data cleaning elevation satellite outliers automatic processing nearest node classifier classification method short trip multi-point

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