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    Wyświetlanie 1-8 z 8
    Tytuł:
    Factors affecting the level of commercialization among households owning cattle. A case study of Makhado Municipality of Vhembe District, Limpopo Province, South Africa
    Autorzy:
    Minyuku, Xitshembiso Appointment
    Belete, Abenet
    Baloi, Vutomi Arone
    Powiązania:
    https://bibliotekanauki.pl/articles/2033354.pdf
    Data publikacji:
    2022-04-04
    Wydawca:
    Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
    Tematy:
    commercialization
    households
    Multinomial Logistic Regression
    Opis:
    This study analyzed the factors affecting the level of commercialization among households owning cattle. The study was conducted at the Makhado Local Municipality of Vhembe District, Limpopo Province, South Africa. The study sampled 150 households owning cattle from five villages within the municipality. Data were collected through a structured questionnaire that was administered face-to-face to the respondents. For empirical reasons, the study used two analytical techniques, namely; Household Comecialisation Index and Multinomial Logistic Regression Model. Empirical results reveal that eight variables were significant in affecting the level of commercialization among households owning cattle. These variables are the marital status of household head, the age of the household head, source of income, the occupation of household, access to market information, distance to the nearest market, membership to farmer organization, and land size. Based on the findings of the study, several policy recommendations were proposed, namely; Encouragement of youth participation in agriculture in general and in cattle production in particular, promotion of gender equality in decision-making, households’ farmer organization, encouragement of market-orientation in cattle production, and establishment of cattle input support programs (e.g., feed, water and disease control).
    Źródło:
    Journal of Agribusiness and Rural Development; 2022, 63, 1; 41-50
    1899-5241
    Pojawia się w:
    Journal of Agribusiness and Rural Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Socio-demographic determinants of small scale farmers’ land tenure system in Kwara State
    Autorzy:
    Oyedeji, O.
    Awotunde, E.
    Ojediran, E.
    Fakayode, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/43176.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
    Tematy:
    Nigeria
    Kwara State
    socio-demographic factor
    farmer
    small farmer
    land tenure system
    multinomial regression
    Źródło:
    Journal of Agribusiness and Rural Development; 2018, 48, 2
    1899-5241
    Pojawia się w:
    Journal of Agribusiness and Rural Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determinants of food security among rural households of the Mopani District Municipality, Limpopo Province of South Africa
    Autorzy:
    Nengovhela, Rudzani
    Powiązania:
    https://bibliotekanauki.pl/articles/2033344.pdf
    Data publikacji:
    2022-04-05
    Wydawca:
    Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
    Tematy:
    household food insecurity access scale
    multinomial logistic regression model
    rural househ
    Opis:
    Regardless of the several measures implemented by the South African government to curb food insecurity, majority of rural households are still experiencing food insecurity at a provincial level in Limpopo Province. This could be because of the high unemployment rate that the rural households are experiencing at a provincial level. As many of the rural households’ members went as far as obtaining tertiary education, most individuals still find it difficult to secure jobs and this results to many rural households depending on social grants for a living. In addition, social grant money alone does not become enough to meet their entire families’ food needs. The study was conducted at Mopani district municipality. Multistage sampling procedure was used, and the villages were selected based on probability proportionate to size. Thus, making the total of 173 rural households. The objectives of the study were to profile the socio-economic characteristics of rural households and to identify food security status of rural households and to determine factors that influence food security among rural households. To analyse the data, Household food insecurity access scale, descriptive statistics and Multinomial logistic regression model were used. From the findings of the study, the results revealed that majority of rural households in Mopani district municipality were found to be moderate to severe food insecure.
    Źródło:
    Journal of Agribusiness and Rural Development; 2022, 63, 1; 89-99
    1899-5241
    Pojawia się w:
    Journal of Agribusiness and Rural Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research framework for studying driver distraction on Polish city highways
    Autorzy:
    D'Souza, K. A.
    Maheshwari, S. K.
    Banaszak, Z. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/406897.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    accident data analysis
    modeling drive distraction
    multinomial logistic regression
    predicting driver distraction risk
    Distraction Risk Index
    model validation
    Opis:
    Analysis of accidents has found driver distraction to be a significant cause of accidents on the highways [1]. Therefore, studying the causes of driver distraction that impact its risk level is needed for a better understanding of accident occurrences. There is general scarcity of research in this field with no established research framework to study driver distractions. This paper proposes a modular research framework for conducting a driver distraction study on Polish city highways. The framework contains guidelines for distraction studies for wide range of cost and time intervals such as a quick, low cost study like analysis of existing accident databases maintained by the cities to relatively higher cost, longer duration study involving field data collection, statistical modeling, and analysis. A city may choose one or more modules to suit their study requirements including statistical and simulation tools to assess and validate the historical or empirical result. The framework is based on the careful modifications and revisions of an earlier transit bus driver study conducted in the Commonwealth of Virginia, U.S.A., and results from this research are presented for purposes of illustration.
    Źródło:
    Management and Production Engineering Review; 2013, 4, 2; 12-24
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Transport mode choice among off-campus students in a hilly environment: the case of Aizawl, India
    Autorzy:
    Saitluanga, Benjamin L.
    Hmangaihzela, Lal
    Powiązania:
    https://bibliotekanauki.pl/articles/2203904.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    transport mode choice
    off-campus students
    hilly terrain
    multinomial logistic regression
    wybór środka transportu
    studenci spoza kampusu
    teren pagórkowaty
    wielomianowa regresja logistyczna
    Opis:
    In recent years, the transport mode choice of students of higher educational institutions has become a subject of increasing interest. Investigating the modal choice of students, who form a considerable section of the population, is crucial for sustainable urban transport planning and understanding the quality of life of students. Reviews of previous studies have indicated that hilly cities in less developed countries are neglected in transportation studies. The present paper investigates the travel behaviour of non-local, off-campus college students in Aizawl – a fast-growing hilly city in northeast India. The study found that transport mode choices are influenced by interrelated factors, including socio-economic background, demographic, availability of transport mode and location of housing. It was also found that walking and public buses are the most preferred modes of commuting among the studied college students. Female students who rent houses near their colleges are more likely to walk than their male counterparts. On the other hand, male students belonging to high-income families tended to travel by private vehicles from their residences, which are located relatively far away from colleges. The study argues for the enhancement of the intake capacity of residential hostels inside the campus to improve the growing transport problem of off-campus students in the city.
    Źródło:
    Transport Problems; 2022, 17, 3; 163--172
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Utilizing crash and violation data to assess unsafe driving actions
    Autorzy:
    Rezapour Mashhadi, M. M.
    Wulff, S. S.
    Ksaibati, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/2140833.pdf
    Data publikacji:
    2017
    Wydawca:
    Fundacja Centrum Badań Socjologicznych
    Tematy:
    No Improper driving
    improper lane change
    drive too fast for conditions
    violation
    citation
    enforcement
    Traffic Safety
    road safety
    Multinomial logistic regression
    vehicle maneuver
    point of impact
    Opis:
    Wyoming has one of the highest crash rates in the United States and a higher fatality rate than the U.S. average. These high rates result from many factors such as the high traffic through I-80 and the mountainous areas of Wyoming. This study employed two approaches to study contributory factors to crashes in the most hazardous interstate, I-80, in Wyoming by employing crash and citation data sets. Different factors may contribute to different driver actions so it is important to consider these crash causes separately. Thus, multiple logistic regression models were used in this study to examine the differences in crash-contributing factors for three driver actions: driving too fast for conditions, improper lane change, and no improper driving. These driver actions account for about 70% of all the crash causes on this interstate. The same violations as the two driver actions, improper lane change and driving too fast for conditions, account for 42% of all the crashes. The literature has indicated that previous violations can be used to predict future violations, and consequently crashes. Therefore, these violations were identified to detect the groups that are at higher risk of involvement in crashes. The analyses indicated that there are substantial differences across different driver actions for crash and violation data. For instance, not-dry-surface conditions increased the estimated odds of driving too fast for conditions 33 times while it decreased the risk of no improper driving by an estimated 250%. Crash severity, number of vehicles, vehicle maneuver, point of impact, driver condition, and speed compliance also impacted different driver actions differently. The results of violation analyses revealed that the interaction between types of vehicle and various variables were significant. For instance, nonresident truck drivers were more likely to violate all types of risky violations, which increased the estimated odds of crashes, compared with resident truck drivers. Recommendations based on the results are provided for policy makers to reduce high crash rate in the state.
    Źródło:
    Journal of Sustainable Development of Transport and Logistics; 2017, 2, 2; 35-46
    2520-2979
    Pojawia się w:
    Journal of Sustainable Development of Transport and Logistics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wage disparities in Poland: Econometric analysis
    Autorzy:
    Witkowska, Dorota
    Powiązania:
    https://bibliotekanauki.pl/articles/452766.pdf
    Data publikacji:
    2012
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
    Tematy:
    labor market
    wage disparity
    ordered multinomial logit model
    exponential regression
    Opis:
    The aim of our research is to identify determinants influencing wages in Poland in the years 2005 and 2009, and to find out if wages obtained by men and women depend on the same factors. Investigation is provided on the basis of data from the Polish Labor Force Survey, employing ordered multinomial logit models and exponential regression.
    Źródło:
    Metody Ilościowe w Badaniach Ekonomicznych; 2012, 13, 2; 115-124
    2082-792X
    Pojawia się w:
    Metody Ilościowe w Badaniach Ekonomicznych
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Impact assessment of short-term management measures on travel demand
    Autorzy:
    D'Cruz, Jinit J.M.
    Alex, Anu P.
    Manju, V. S.
    Peter, Leema
    Powiązania:
    https://bibliotekanauki.pl/articles/223500.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    public transportation
    travel demand management
    four stage model
    linear regression
    modal shift
    multinomial logit model
    transport publiczny
    zarządzanie podróżą
    przesunięcie modalne
    Opis:
    Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributing the demand rather than increasing the supply. To analyze the impact of TDM measures, the existing travel demand of the area should be identified. In order to get quantitative information on the travel demand and the performance of different alternatives or choices of the available transportation system, travel demand model has to be developed. This concept is more useful in developing countries like India, which have limited resources and increasing demands. Transport related issues such as congestion, low service levels and lack of efficient public transportation compels commuters to shift their travel modes to private transport, resulting in unbalanced modal splits. The present study explores the potential to implement travel demand management measures at Kazhakoottam, an IT business hub cum residential area of Thiruvananthapuram city, a medium sized city in India. Travel demand growth at Kazhakoottam is a matter of concern because the traffic is highly concentrated in this area and facility expansion costs are pretty high. A sequential four-stage travel demand model was developed based on a total of 1416 individual household questionnaire responses using the macro simulation software CUBE. Trip generation models were developed using linear regression and mode split was modelled as multinomial logit model in SPSS. The base year traffic flows were estimated and validated with field data. The developed model was then used for improving the road network conditions by suggesting short-term TDM measures. Three TDM scenarios viz; integrating public transit system with feeder mode, carpooling and reducing the distance of bus stops from zone centroids were analysed. The results indicated an increase in public transit ridership and considerable modal shift from private to public/shared transit.
    Źródło:
    Archives of Transport; 2020, 53, 1; 37-52
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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