Landslide susceptibility mapping is the first step in regional hazard management as it helps to understand the spatial distribution of the probability of slope failure in an area.An attempt is made to map the landslid...Landslide susceptibility mapping is the first step in regional hazard management as it helps to understand the spatial distribution of the probability of slope failure in an area.An attempt is made to map the landslide susceptibility in Tevankarai Ar subwatershed,Kodaikkanal,India using binary logistic regression analysis.Geographic Information System is used to prepare the database of the predictor variables and landslide inventory map,which is used to build the spatial model of landslide susceptibility.The model describes the relationship between the dependent variable(presence and absence of landslide) and the independent variables selected for study(predictor variables) by the best fitting function.A forward stepwise logistic regression model using maximum likelihood estimation is used in the regression analysis.An inventory of 84 landslides and cells within a buffer distance of 10m around the landslide is used as the dependent variable.Relief,slope,aspect,plan curvature,profile curvature,land use,soil,topographic wetness index,proximity to roads and proximity to lineaments are taken as independent variables.The constant and the coefficient of the predictor variable retained by the regression model are used to calculate the probability of slope failure and analyze the effect of each predictor variable on landslide occurrence in thestudy area.The model shows that the most significant parameter contributing to landslides is slope.The other significant parameters are profile curvature,soil,road,wetness index and relief.The predictive logistic regression model is validated using temporal validation data-set of known landslide locations and shows an accuracy of 85.29 %.展开更多
The current measuring methods of walkability,such as the walk score,consider that walking distance decay laws for all amenities are the same,which is not applicable to typical communities in China with plentiful resou...The current measuring methods of walkability,such as the walk score,consider that walking distance decay laws for all amenities are the same,which is not applicable to typical communities in China with plentiful resources.Therefore,the walking distance decay laws of multi-type and multi-scale facilities are studied.Firstly,based on the residents'amenity selection survey,the walking distance decay law of residents'choice of amenity was studied from three aspects,including the law of all amenities,the laws of different types of amenities and the laws of different scales of amenities.It was proved that the walking distance decay laws of different kinds of amenities showed a significant difference.Secondly,different amenities'acceptable walking distance and optimum walking distance were obtained according to previous studies and the decay curve.Amenities with higher attraction and/or a larger scale showed a longer acceptable walking distance and optimum walking distance.Finally,the binary logistic model was used to describe the relationships between walking distance,amenity type,amenity scale and the probability of one amenity being selected,the prediction accuracy of which reached 80.4%.The calculated probability obtained from the model can be used as the decay coefficient of amenities in the measurement of walkability,providing a reference for the site selection and evaluation of amenities.展开更多
On the first anniversary of the implementation of the new regulations of Beijing Municipality on the management of domestic waste,to understand residents’views on the waste classification policy,the project conducted...On the first anniversary of the implementation of the new regulations of Beijing Municipality on the management of domestic waste,to understand residents’views on the waste classification policy,the project conducted relevant investigation of the satisfaction of residents with the domestic waste classification policy in Daxing District of Beijing,China.Based on the analysis of the survey,this study uses the binary logistic regression model to explore the residents’satisfaction with the new domestic waste classification policy in Beijing and its influencing factors.The data from 398 valid questionnaires involve the demographic characteristics of residents,residents’cognition and views on Beijing municipal solid waste classification policy,and residents’satisfaction with Beijing domestic waste classification policy.The data show that the comprehensive satisfaction level of residents with the domestic waste classification policy in Beijing is quite high,up to 84.7%.Among them,the satisfaction level of residents with the details of the classification standards,the allocation of garbage cans,the publicity and supervision of the policy,incentive measures and the implementation process and effect of the policy is very high,exceeding 80%or even more than 90%.Through binary logistic regression analysis,we come to the conclusion that six factors significantly affect residents’satisfaction with Beijing municipal solid waste classification policy,such as residents’monthly income,household daily average domestic waste production,publicity of waste classification policy,supervisors’better understanding of waste classification standards,guidance of waste delivery by community classification supervisors,and convenience of waste classification process.展开更多
Climate change poses substantial challenges to agricultural productivity and sustainability,particularly in Mediterranean and Sub-Saharan Africa regions.Local smallholder farmers’adaptation strategies to climate chan...Climate change poses substantial challenges to agricultural productivity and sustainability,particularly in Mediterranean and Sub-Saharan Africa regions.Local smallholder farmers’adaptation strategies to climate change are crucial for mitigating these impacts.Therefore,this study investigated the socioeconomic factors influencing smallholder farmers’perceptions and adaptation strategies to climate change in four countries(Morocco,Egypt,Italy,and Senegal)of Mediterranean and Sub-Saharan Africa regions using a binary logistic regression(BLR)model.The results indicated that educational level,farming experience,agricultural income,farm size,participation in agricultural workshops,and training in Good Agricultural Practices(GAPs)significantly impacted smallholder farmers’perceptions and adaptation strategies to climate change(such as smallholder farmers adopting drought-tolerant crops).Higher educational level was linked to the greater possibility of smallholder farmers adopting drought-tolerant crops in Italy and Egypt,while gaps in rural education limited the possibility of smallholder farmers adopting drought-tolerant crops in Morocco and Senegal.Farming experience and agricultural income also enhanced the possibility of smallholder farmers adopting drought-tolerant crops,with notable variations across countries due to systemic barriers such as limited infrastructure in Senegal.Larger farm size and participation in agricultural workshops further improved the possibility of smallholder farmers adopting drought-tolerant crops,particularly in Morocco and Egypt.The findings highlighted the importance of tailored interventions and policy measures to support smallholder farmers in effectively responding to the challenges of climate change under diverse agricultural contexts.By understanding the specific needs and circumstances of smallholder farmers in these countries,policymakers can develop more effective adaptation strategies to enhance agricultural resilience and sustainability under the context of climate change.展开更多
This study examined gender differences in modal choice among residents of coastal communities of Yenagoa metropolis in Bayelsa State, Nigeria. The Four-Step model of transportation planning and modal choice provided t...This study examined gender differences in modal choice among residents of coastal communities of Yenagoa metropolis in Bayelsa State, Nigeria. The Four-Step model of transportation planning and modal choice provided the theoretical basis for this study. A survey research design involving a stratified sampling technique was adopted. The descriptives on transport modes, amount and time spent revealed that 10 (76.9%) males and 3 (23.1%) females preferred bicycle as means of transportation, 7 (58.3%) males and 5 (41.7%) females preferred motorcycle, while a significant proportion 90 (53.9%) males and 77 (46.1%) females preferred tricycle, 80 (63.0%) males and 47 (37.0%) females preferred cars/taxis, and 12 (46.2%) males and 14 (53.8%) females preferred mass transit bus. However, 14 (46.7%) males and 16 (53.3%) females in marshy terrain and coastal locations preferred canoes and boats. The result of the logistic regression model revealed that gender modal preference is more likely to be influenced by mode of transportation with a beta weight of 1.140, safety considerations 1.139, ownership of transport 1.135 and distance to place of work 1.073. Hence, this study recommends that a combination of these factors should be incorporated into transport planning to achieve effective transport planning and sustainable development in the Yenagoa metropolis.展开更多
Polymetallic nodules,hereinafter referred to as PN,enriched with Co,Ni,Mn,and Cu,are likely to be commercially mined in the near future.These metals in PN are potential strategic alternatives for the world’s energy t...Polymetallic nodules,hereinafter referred to as PN,enriched with Co,Ni,Mn,and Cu,are likely to be commercially mined in the near future.These metals in PN are potential strategic alternatives for the world’s energy transition.Therefore,intensive studies are necessary on the spatial distribution patterns of PN in the deep sea.In this study,the distribution probabilities of PN in the Pacific,Indian and Atlantic oceans were estimated based on binary logistic regression of PN occurrence with ore-controlling factors including water depth(WD),marine sediment thickness(SedTh),Calcium carbonate(CaCO_(3))concentrations in surface sediments,primary productivity(PP),near bottom current velocities(BC).Furthermore,the distribution probability of PN was constrained by seafloor ages and PN sites,and subsequently,the prospects for nodules in the Pacific,Indian and Atlantic oceans were obtained.The results indicate that the low-latitude Pacific region(30°N-30°S),particularly the Clarion-Clipperton Zone and the Penrhyn Basin,is the most promising area for PN exploration.展开更多
This research aimed to improve selection of pepper seeds for separating high-quality seeds from low-quality seeds. Past research has shown that seed vigor is significantly related to the seed color and size, thus seve...This research aimed to improve selection of pepper seeds for separating high-quality seeds from low-quality seeds. Past research has shown that seed vigor is significantly related to the seed color and size, thus several physical features were identified as candidate predictors of high seed quality. Image recognition software was used to automate recognition of seed feature quality using 400 kernels of pepper cultivar 101. In addition, binary logistic regression and a neural network were applied to determine models with high predictive value of seed germination. Single-kernel germination tests were conducted to validate the predictive value of the identified features. The best predictors of seed vigor were determined by the highest correlation observed between the physical features and the subsequent fresh weight of seedlings that germinated from the 400 seeds. Correlation analysis showed that fresh weight was significantly positively correlated with eight physical features： three color features （R, a＊, brightness）, width, length, projected area, and single-kernel density, and weight. In contrast, fresh weight significantly negatively correlated with the feature of hue. In analyses of two of the highest correlating single features,＇ germination percentage increased from 59.3 to 71.8% when a＊〉3, and selection rate peaked at 57.8%. Germination percentage increased from 59.3 to 79.4%, and the selection rate reached 76.8%, when single-kernel weight 〉0.0064 g. The most effective model was based on a multilayer perceptron （MLP） neural network, consisting of 15 physical traits as variables, and a stability calculated as 99.4%. Germination percentage in a calibration set of seeds was 79.1% and the selection rate was 90.0%. These results indicated that the model was effective in predicting seed germination based on physical features and could be used as a guide for quality control in seed selection. Automated systems based on machine vision and model classifiers can contribute to reducing the costs and labor required in the selection of pepper seeds.展开更多
Grassland fire is one of the most important disturbance factors in the natural ecosystems.This paper focuses on the spatial distribution of long-term grassland fire patterns in the Hulun Buir Grassland located in the ...Grassland fire is one of the most important disturbance factors in the natural ecosystems.This paper focuses on the spatial distribution of long-term grassland fire patterns in the Hulun Buir Grassland located in the northeast of Inner Mongolia Autonomous Region in China.The density or ratio of ignition can reflect the relationship between grassland fire and different ignition factors.Based on the relationship between the density or ratio of ignition in different range of each ignition factor and grassland fire events,an ignition probability model was developed by using binary logistic regression function and its overall accuracy averaged up to 81.7%.Meanwhile it was found that daily relative humidity,daily temperature,elevation,vegetation type,distance to county-level road,distance to town are more important determinants of spatial distribution of fire ignitions.Using Monte Carlo method,we developed a time-dependent stochastic ignition probability model based on the distribution of inter-annual daily relative humidity and daily temperature.Through this model,it is possible to estimate the spatial patterns of ignition probability for grassland fire,which will be helpful to the quantitative evaluation of grassland fire risk and its management in the future.展开更多
Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ri...Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.展开更多
Objective To study the influencing factors of blood stasis constitution and provide a basis for treating blood stasis-related diseases by traditional Chinese medicine(TCM) constitution identification.Methods Data were...Objective To study the influencing factors of blood stasis constitution and provide a basis for treating blood stasis-related diseases by traditional Chinese medicine(TCM) constitution identification.Methods Data were collected using the self-developed TCM constitution identification platform based on B/S model by the project team. The obtained data were divided into blood stasis constitution and normal constitution groups. The differences of the categorical type influencing factors(gender, birth mode, feeding mode within four months of birth, family history, marital status, eating habits, sleeping habits, exercise habits, emotional state, stress situation, and living environment) and the quantitative type influencing factors(sleep time, age,and mother’s age at birth) on the constitution of the two groups were analyzed. In the singlefactor analysis, the Pearson’s chi-square test was selected for the categorical variable, and the independent sample t test and Mann-Whitney U nonparametric test were selected for the quantitative variables according to whether they conformed to the positive-terrestrial distribution;the binary logistic stepwise regression method was selected for the multi-factor analysis.Results The data of 318 cases were collected from the TCM composition identification platform, and 159 cases of blood stasis constitution were used as the experimental group and 159 cases of normal constitution were used as the control group. The Pearson’s chi-square test yielded significant differences(P < 0.05) in the effects of gender, pressure situation, family history, living environment, emotional state, exercise habits, and dietary habits on blood stasis constitution. The independent samples t test yielded differences in sleep duration between the blood stasis constitution and normal constitution populations(P < 0.05), which meant sleep duration of the blood stasis constitution population was less than that of the normal constitution population. The Mann-Whitney U nonparametric test results accepted the original hypothesis that there was no difference in the distribution of age and mother’s age at birth across constitution types(P > 0.05). Binary logistic regression analysis showed that gender, family history, marital status, living environment, exercise habits, and emotional state were risk factors for blood stasis constitution(P < 0.05).Conclusion Gender, family history, living environment, emotional state, and exercise habits were significant influencing factors of blood stasis constitution. Blood stasis constitution populations can pay more attention to these influencing factors in their daily life for the prevention and reconciliation of blood stasis constitution.展开更多
Late-stage or later-successional ectomycorrhizal fungi,dominant ectomycorrhizal species in mature forest,are generally important symbiotic partners of dominant tree species in many forest ecosystems.Spatial patterns o...Late-stage or later-successional ectomycorrhizal fungi,dominant ectomycorrhizal species in mature forest,are generally important symbiotic partners of dominant tree species in many forest ecosystems.Spatial patterns of fungal sporocarps of three families,i.e.Amanitaceae,Boletaceae and Russulaceae,in a subtropical forest in Dujiangyan were examined using second-order analysis in the present paper.The woody plant compositions of the plots associated with ectomycorrhizal fungi of three families were also compared using binary logistic regression analysis.Results indicated that presences of non-ectomycorrhizal and some ectomycorrhizal plants might have negative effects on the occurrence of ectomyconrhizas(ECM)fungal sporocarps and the characteristics in clonal growth of fungal taxa would not be the only determinant in the spatial pattern of ECM fungi.We suggest that besides host plants,non-ectomycorrhizal woody plants and interaction of ECM fungi should also be considered in spatial studies of ECM fungal communities in natural forests.展开更多
The willingness of returning migrant workers to purchase houses has an important impact on local urbanization.At present,there are few researches on the willingness of returning migrant workers to purchase houses.The ...The willingness of returning migrant workers to purchase houses has an important impact on local urbanization.At present,there are few researches on the willingness of returning migrant workers to purchase houses.The existing researches mostly focus on the perspective of sociology and economics,and few studies are conducted from the perspective of geography.Based on the survey data of 45 villages in Henan Province of China in 2019,this study used binary logistic method to study the influencing factors of the willingness of returning migrant workers to purchase houses.The willingness of returning migrant workers to purchase houses is affected by many factors,such as personal,family,village,and returning factors.Among them,age and returning period are negatively correlated with the willingness of returning migrant workers to purchase houses.Factors such as years of education,years of working,and per capita income of village are positively correlated with the willingness of returning migrant workers to purchase houses.Returning migrant workers in plains and hilly areas are more willing to purchase houses than those in mountainous areas.The formation of the willingness to purchase houses is mainly related to economic foundation,age,marital status,and other factors.Returning migrant workers are becoming more willing to purchase houses,and the expected locations are mainly concentrated in the county seats.In the context of China’s high density of rural population and rapid urbanization,more returning migrant workers are expected to purchase houses in cities and towns for the sake of employment,marriage,children’s education,and access to public services.As a result,there is an extensive market of potential purchasers,which affects the development of the local urban real estate industry and is of great significance for returning migrant workers to truly integrate into the cities.However,some returning migrant workers still choose to purchase houses in villages,mainly affected by traditional concepts,living habits,and the better development of villages.Therefore,it is of great practical significance to explore the willingness of returning migrant workers to purchase houses,so as to master the flow laws and future behavior of returning migrant workers to purchase houses.展开更多
“Human-elephant conflict(HEC)”,the alarming issue,in present day context has attracted the attention of environmentalists and policy makers.The rising conflict between human beings and wild elephants is common in Bu...“Human-elephant conflict(HEC)”,the alarming issue,in present day context has attracted the attention of environmentalists and policy makers.The rising conflict between human beings and wild elephants is common in Buxa Tiger Reserve(BTR)and its adjoining area in West Bengal State,India,making the area volatile.People’s attitudes towards elephant conservation activity are very crucial to get rid of HEC,because people’s proximity with wild elephants’habitat can trigger the occurrence of HEC.The aim of this study is to conduct an in-depth investigation about the association of people’s attitudes towards HEC with their locational,demographic,and socio-economic characteristics in BTR and its adjoining area by using Pearson’s bivariate chi-square test and binary logistic regression analysis.BTR is one of the constituent parts of Eastern Doors Elephant Reserve(EDER).We interviewed 500 respondents to understand their perceptions to HEC and investigated their locational,demographic,and socio-economic characteristics including location of village,gender,age,ethnicity,religion,caste,poverty level,education level,primary occupation,secondary occupation,household type,and source of firewood.The results indicate that respondents who are living in enclave forest villages(EFVs),peripheral forest villages(PFVs),corridor village(CVs),or forest and corridor villages(FCVs),mainly males,at the age of 18–48 years old,engaged with agriculture occupation,and living in kancha and mixed houses,have more likelihood to witness HEC.Besides,respondents who are illiterate or at primary education level are more likely to regard elephant as a main problematic animal around their villages and refuse to participate in elephant conservation activity.For the sake of a sustainable environment for both human beings and wildlife,people’s attitudes towards elephants must be friendly in a more prudent way,so that the two communities can live in harmony.展开更多
Inward foreign direct investment （FDI） is expected to grow further by virtue of economic globalization. A thorough understanding of the locational determinants of inward FDI will be conducive to enhanced efficiency ...Inward foreign direct investment （FDI） is expected to grow further by virtue of economic globalization. A thorough understanding of the locational determinants of inward FDI will be conducive to enhanced efficiency in attracting direct and SOC-related investments from foreign entities. This study analyzes 51 cases of inward direct foreign investment made in the Incheon free economic zone （IFEZ） from 2002 to 2009 to determine the factors influencing FDI volume, the relevance of locations and the correlation between investment size and location. First, the relationship between the loeational determinants of FDI and the total investment size （total expected project cost） is analyzed. Second, the relationship between the locational determinants of FDI and the FDI is analyzed. Third, the relationship between the locational determinants of FDI and the location choice is analyzed. The results indicate the determinants that influence locations and investment size of FDI entities; whether these factors exercise influence in the zone; and the factors that have relatively significant effects. Ultimately, based on the analytical findings, a few implications for policy and practice are derived.展开更多
[Method]The paper was to understand factors influencing the channel choice of consumers buying beef.[Method]The selection behavior and influencing factors of beef consumption of Yanji urban residents in supermarkets a...[Method]The paper was to understand factors influencing the channel choice of consumers buying beef.[Method]The selection behavior and influencing factors of beef consumption of Yanji urban residents in supermarkets and farmers’market were analyzed by constructing a binary Logistic model.[Result]Education level,monthly household income and household food expenditure to total income were positively correlated with beef purchase in supermarket,while age was negatively correlated with beef purchase in supermarket.[Conclusion]The main reasons that consumers buy beef in supermarket were type of beef,brand and clean environment,and in farmers’market were price,freshness and consumption habit.展开更多
This study used the Binary Logistic regression model to estimate the willingness to pay (WTP) to reduce the use of plastic bags in the daily life of people in the Linh Nam ward. This study notes that households with h...This study used the Binary Logistic regression model to estimate the willingness to pay (WTP) to reduce the use of plastic bags in the daily life of people in the Linh Nam ward. This study notes that households with higher incomes and higher levels of education tend to be more willing to pay. In addition, those who do not have access to information about the harmful effects of plastic bags and receive a higher proposed price often refuse to pay.展开更多
Through field investigation, questionnaire interview and interview with experts and scholars, the study of the wisdom of the elderly endowment willingness and demand, understand wisdom pension service demand and socia...Through field investigation, questionnaire interview and interview with experts and scholars, the study of the wisdom of the elderly endowment willingness and demand, understand wisdom pension service demand and social supply, and then found social in the problems that exist in the pension services will meet the wisdom, so as to put forward the targeted countermeasures and Suggestions, can cause social attention to wisdom pension services, promote and plural social capital to participate in, give full play to the role of the market.展开更多
This paper provides a tool to identify key aspects for an airport to achieve global hub status for a given airline and determines whether these factors are related to the facility’s infrastructure,its region,or both....This paper provides a tool to identify key aspects for an airport to achieve global hub status for a given airline and determines whether these factors are related to the facility’s infrastructure,its region,or both.Despite the frequent use of the term‘hub’,there is little academic consensus on its exact definition in air transport.Many define a hub based on passenger numbers rather than the concentration of flights and passengers from the main carrier.This study addresses this gap by analyzing the factors influencing the definition of a hub and the commonalities among global hubs.Data from 300 major airports,including internal variables(runways,terminals,gates and area)and external variables(economy,population,attractiveness),were collected.A Binary Logistic Regression(BLR)model identified key aspects influencing hub status,with the assistance of an Exploratory Factor Analysis(EFA)that grouped the variables into factors.The binary‘hub’variable was defined by the main carrier’s activity and the Global Airport Connectivity Index(GACI).The factor with the highest coefficient primarily involved internal variables and,to a lesser extent,global attractiveness and population.The factor with the lowest coefficient related to the region economy.The BLR correctly identified hub status in 93.3%of cases,with 68.3%accuracy for hub airports.Airports not correctly identified by the model mostly present a lack or underutilization of existing infrastructure.展开更多
文摘Landslide susceptibility mapping is the first step in regional hazard management as it helps to understand the spatial distribution of the probability of slope failure in an area.An attempt is made to map the landslide susceptibility in Tevankarai Ar subwatershed,Kodaikkanal,India using binary logistic regression analysis.Geographic Information System is used to prepare the database of the predictor variables and landslide inventory map,which is used to build the spatial model of landslide susceptibility.The model describes the relationship between the dependent variable(presence and absence of landslide) and the independent variables selected for study(predictor variables) by the best fitting function.A forward stepwise logistic regression model using maximum likelihood estimation is used in the regression analysis.An inventory of 84 landslides and cells within a buffer distance of 10m around the landslide is used as the dependent variable.Relief,slope,aspect,plan curvature,profile curvature,land use,soil,topographic wetness index,proximity to roads and proximity to lineaments are taken as independent variables.The constant and the coefficient of the predictor variable retained by the regression model are used to calculate the probability of slope failure and analyze the effect of each predictor variable on landslide occurrence in thestudy area.The model shows that the most significant parameter contributing to landslides is slope.The other significant parameters are profile curvature,soil,road,wetness index and relief.The predictive logistic regression model is validated using temporal validation data-set of known landslide locations and shows an accuracy of 85.29 %.
文摘The current measuring methods of walkability,such as the walk score,consider that walking distance decay laws for all amenities are the same,which is not applicable to typical communities in China with plentiful resources.Therefore,the walking distance decay laws of multi-type and multi-scale facilities are studied.Firstly,based on the residents'amenity selection survey,the walking distance decay law of residents'choice of amenity was studied from three aspects,including the law of all amenities,the laws of different types of amenities and the laws of different scales of amenities.It was proved that the walking distance decay laws of different kinds of amenities showed a significant difference.Secondly,different amenities'acceptable walking distance and optimum walking distance were obtained according to previous studies and the decay curve.Amenities with higher attraction and/or a larger scale showed a longer acceptable walking distance and optimum walking distance.Finally,the binary logistic model was used to describe the relationships between walking distance,amenity type,amenity scale and the probability of one amenity being selected,the prediction accuracy of which reached 80.4%.The calculated probability obtained from the model can be used as the decay coefficient of amenities in the measurement of walkability,providing a reference for the site selection and evaluation of amenities.
基金supported by the National College Students Innovation and Entrepreneurship Training Programs(CN)(Grant Nos.2021J00054&2019J00127)
文摘On the first anniversary of the implementation of the new regulations of Beijing Municipality on the management of domestic waste,to understand residents’views on the waste classification policy,the project conducted relevant investigation of the satisfaction of residents with the domestic waste classification policy in Daxing District of Beijing,China.Based on the analysis of the survey,this study uses the binary logistic regression model to explore the residents’satisfaction with the new domestic waste classification policy in Beijing and its influencing factors.The data from 398 valid questionnaires involve the demographic characteristics of residents,residents’cognition and views on Beijing municipal solid waste classification policy,and residents’satisfaction with Beijing domestic waste classification policy.The data show that the comprehensive satisfaction level of residents with the domestic waste classification policy in Beijing is quite high,up to 84.7%.Among them,the satisfaction level of residents with the details of the classification standards,the allocation of garbage cans,the publicity and supervision of the policy,incentive measures and the implementation process and effect of the policy is very high,exceeding 80%or even more than 90%.Through binary logistic regression analysis,we come to the conclusion that six factors significantly affect residents’satisfaction with Beijing municipal solid waste classification policy,such as residents’monthly income,household daily average domestic waste production,publicity of waste classification policy,supervisors’better understanding of waste classification standards,guidance of waste delivery by community classification supervisors,and convenience of waste classification process.
基金an integral component of the TRUSTFARM Project,supported by the European Union’s Horizon 2020 research and innovation programThe TRUSTFARM Project was carried out under the European Research Area Network Cofund on Food Systems and Climate(ERA-NET FOSC,862555)+1 种基金built upon and supported by the experience from the Joint Programming Initiative on Agriculture,Food Security&Climate Change(FACCE-JPI)the European Research Area Network Cofund on Long-term Europe-Africa Partnership on Agricultural Research for Development(LEAP-Agri).
文摘Climate change poses substantial challenges to agricultural productivity and sustainability,particularly in Mediterranean and Sub-Saharan Africa regions.Local smallholder farmers’adaptation strategies to climate change are crucial for mitigating these impacts.Therefore,this study investigated the socioeconomic factors influencing smallholder farmers’perceptions and adaptation strategies to climate change in four countries(Morocco,Egypt,Italy,and Senegal)of Mediterranean and Sub-Saharan Africa regions using a binary logistic regression(BLR)model.The results indicated that educational level,farming experience,agricultural income,farm size,participation in agricultural workshops,and training in Good Agricultural Practices(GAPs)significantly impacted smallholder farmers’perceptions and adaptation strategies to climate change(such as smallholder farmers adopting drought-tolerant crops).Higher educational level was linked to the greater possibility of smallholder farmers adopting drought-tolerant crops in Italy and Egypt,while gaps in rural education limited the possibility of smallholder farmers adopting drought-tolerant crops in Morocco and Senegal.Farming experience and agricultural income also enhanced the possibility of smallholder farmers adopting drought-tolerant crops,with notable variations across countries due to systemic barriers such as limited infrastructure in Senegal.Larger farm size and participation in agricultural workshops further improved the possibility of smallholder farmers adopting drought-tolerant crops,particularly in Morocco and Egypt.The findings highlighted the importance of tailored interventions and policy measures to support smallholder farmers in effectively responding to the challenges of climate change under diverse agricultural contexts.By understanding the specific needs and circumstances of smallholder farmers in these countries,policymakers can develop more effective adaptation strategies to enhance agricultural resilience and sustainability under the context of climate change.
文摘This study examined gender differences in modal choice among residents of coastal communities of Yenagoa metropolis in Bayelsa State, Nigeria. The Four-Step model of transportation planning and modal choice provided the theoretical basis for this study. A survey research design involving a stratified sampling technique was adopted. The descriptives on transport modes, amount and time spent revealed that 10 (76.9%) males and 3 (23.1%) females preferred bicycle as means of transportation, 7 (58.3%) males and 5 (41.7%) females preferred motorcycle, while a significant proportion 90 (53.9%) males and 77 (46.1%) females preferred tricycle, 80 (63.0%) males and 47 (37.0%) females preferred cars/taxis, and 12 (46.2%) males and 14 (53.8%) females preferred mass transit bus. However, 14 (46.7%) males and 16 (53.3%) females in marshy terrain and coastal locations preferred canoes and boats. The result of the logistic regression model revealed that gender modal preference is more likely to be influenced by mode of transportation with a beta weight of 1.140, safety considerations 1.139, ownership of transport 1.135 and distance to place of work 1.073. Hence, this study recommends that a combination of these factors should be incorporated into transport planning to achieve effective transport planning and sustainable development in the Yenagoa metropolis.
基金The Marine Science and Technology Fund of Shandong Province for Laoshan Laboratory under contract No.LSKJ202203600-2the China Ocean Mineral Resources Research and Development Association(COMRA)project under contract No.DY135-N2-1-04.
文摘Polymetallic nodules,hereinafter referred to as PN,enriched with Co,Ni,Mn,and Cu,are likely to be commercially mined in the near future.These metals in PN are potential strategic alternatives for the world’s energy transition.Therefore,intensive studies are necessary on the spatial distribution patterns of PN in the deep sea.In this study,the distribution probabilities of PN in the Pacific,Indian and Atlantic oceans were estimated based on binary logistic regression of PN occurrence with ore-controlling factors including water depth(WD),marine sediment thickness(SedTh),Calcium carbonate(CaCO_(3))concentrations in surface sediments,primary productivity(PP),near bottom current velocities(BC).Furthermore,the distribution probability of PN was constrained by seafloor ages and PN sites,and subsequently,the prospects for nodules in the Pacific,Indian and Atlantic oceans were obtained.The results indicate that the low-latitude Pacific region(30°N-30°S),particularly the Clarion-Clipperton Zone and the Penrhyn Basin,is the most promising area for PN exploration.
基金supported by the Beijing Municipal Science and Technology Project,China (Z151100001015004)
文摘This research aimed to improve selection of pepper seeds for separating high-quality seeds from low-quality seeds. Past research has shown that seed vigor is significantly related to the seed color and size, thus several physical features were identified as candidate predictors of high seed quality. Image recognition software was used to automate recognition of seed feature quality using 400 kernels of pepper cultivar 101. In addition, binary logistic regression and a neural network were applied to determine models with high predictive value of seed germination. Single-kernel germination tests were conducted to validate the predictive value of the identified features. The best predictors of seed vigor were determined by the highest correlation observed between the physical features and the subsequent fresh weight of seedlings that germinated from the 400 seeds. Correlation analysis showed that fresh weight was significantly positively correlated with eight physical features： three color features （R, a＊, brightness）, width, length, projected area, and single-kernel density, and weight. In contrast, fresh weight significantly negatively correlated with the feature of hue. In analyses of two of the highest correlating single features,＇ germination percentage increased from 59.3 to 71.8% when a＊〉3, and selection rate peaked at 57.8%. Germination percentage increased from 59.3 to 79.4%, and the selection rate reached 76.8%, when single-kernel weight 〉0.0064 g. The most effective model was based on a multilayer perceptron （MLP） neural network, consisting of 15 physical traits as variables, and a stability calculated as 99.4%. Germination percentage in a calibration set of seeds was 79.1% and the selection rate was 90.0%. These results indicated that the model was effective in predicting seed germination based on physical features and could be used as a guide for quality control in seed selection. Automated systems based on machine vision and model classifiers can contribute to reducing the costs and labor required in the selection of pepper seeds.
基金Under the auspices of National Science & Technology Support Program of China(No.2006BAD20B00)
文摘Grassland fire is one of the most important disturbance factors in the natural ecosystems.This paper focuses on the spatial distribution of long-term grassland fire patterns in the Hulun Buir Grassland located in the northeast of Inner Mongolia Autonomous Region in China.The density or ratio of ignition can reflect the relationship between grassland fire and different ignition factors.Based on the relationship between the density or ratio of ignition in different range of each ignition factor and grassland fire events,an ignition probability model was developed by using binary logistic regression function and its overall accuracy averaged up to 81.7%.Meanwhile it was found that daily relative humidity,daily temperature,elevation,vegetation type,distance to county-level road,distance to town are more important determinants of spatial distribution of fire ignitions.Using Monte Carlo method,we developed a time-dependent stochastic ignition probability model based on the distribution of inter-annual daily relative humidity and daily temperature.Through this model,it is possible to estimate the spatial patterns of ignition probability for grassland fire,which will be helpful to the quantitative evaluation of grassland fire risk and its management in the future.
基金This paper was financially supported by NSC96-2628-E-366-004-MY2 and NSC96-2628-E-132-001-MY2
文摘Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.
基金The Youth Fund of National Natural Science Foundation of China (81904324)Xinglin Talent Plan of Chengdu University of Traditional Chinese Medicine(QNXZ2020015)。
文摘Objective To study the influencing factors of blood stasis constitution and provide a basis for treating blood stasis-related diseases by traditional Chinese medicine(TCM) constitution identification.Methods Data were collected using the self-developed TCM constitution identification platform based on B/S model by the project team. The obtained data were divided into blood stasis constitution and normal constitution groups. The differences of the categorical type influencing factors(gender, birth mode, feeding mode within four months of birth, family history, marital status, eating habits, sleeping habits, exercise habits, emotional state, stress situation, and living environment) and the quantitative type influencing factors(sleep time, age,and mother’s age at birth) on the constitution of the two groups were analyzed. In the singlefactor analysis, the Pearson’s chi-square test was selected for the categorical variable, and the independent sample t test and Mann-Whitney U nonparametric test were selected for the quantitative variables according to whether they conformed to the positive-terrestrial distribution;the binary logistic stepwise regression method was selected for the multi-factor analysis.Results The data of 318 cases were collected from the TCM composition identification platform, and 159 cases of blood stasis constitution were used as the experimental group and 159 cases of normal constitution were used as the control group. The Pearson’s chi-square test yielded significant differences(P < 0.05) in the effects of gender, pressure situation, family history, living environment, emotional state, exercise habits, and dietary habits on blood stasis constitution. The independent samples t test yielded differences in sleep duration between the blood stasis constitution and normal constitution populations(P < 0.05), which meant sleep duration of the blood stasis constitution population was less than that of the normal constitution population. The Mann-Whitney U nonparametric test results accepted the original hypothesis that there was no difference in the distribution of age and mother’s age at birth across constitution types(P > 0.05). Binary logistic regression analysis showed that gender, family history, marital status, living environment, exercise habits, and emotional state were risk factors for blood stasis constitution(P < 0.05).Conclusion Gender, family history, living environment, emotional state, and exercise habits were significant influencing factors of blood stasis constitution. Blood stasis constitution populations can pay more attention to these influencing factors in their daily life for the prevention and reconciliation of blood stasis constitution.
文摘Late-stage or later-successional ectomycorrhizal fungi,dominant ectomycorrhizal species in mature forest,are generally important symbiotic partners of dominant tree species in many forest ecosystems.Spatial patterns of fungal sporocarps of three families,i.e.Amanitaceae,Boletaceae and Russulaceae,in a subtropical forest in Dujiangyan were examined using second-order analysis in the present paper.The woody plant compositions of the plots associated with ectomycorrhizal fungi of three families were also compared using binary logistic regression analysis.Results indicated that presences of non-ectomycorrhizal and some ectomycorrhizal plants might have negative effects on the occurrence of ectomyconrhizas(ECM)fungal sporocarps and the characteristics in clonal growth of fungal taxa would not be the only determinant in the spatial pattern of ECM fungi.We suggest that besides host plants,non-ectomycorrhizal woody plants and interaction of ECM fungi should also be considered in spatial studies of ECM fungal communities in natural forests.
基金financially supported by the National Natural Science Foundation of China(41771190,42001337)。
文摘The willingness of returning migrant workers to purchase houses has an important impact on local urbanization.At present,there are few researches on the willingness of returning migrant workers to purchase houses.The existing researches mostly focus on the perspective of sociology and economics,and few studies are conducted from the perspective of geography.Based on the survey data of 45 villages in Henan Province of China in 2019,this study used binary logistic method to study the influencing factors of the willingness of returning migrant workers to purchase houses.The willingness of returning migrant workers to purchase houses is affected by many factors,such as personal,family,village,and returning factors.Among them,age and returning period are negatively correlated with the willingness of returning migrant workers to purchase houses.Factors such as years of education,years of working,and per capita income of village are positively correlated with the willingness of returning migrant workers to purchase houses.Returning migrant workers in plains and hilly areas are more willing to purchase houses than those in mountainous areas.The formation of the willingness to purchase houses is mainly related to economic foundation,age,marital status,and other factors.Returning migrant workers are becoming more willing to purchase houses,and the expected locations are mainly concentrated in the county seats.In the context of China’s high density of rural population and rapid urbanization,more returning migrant workers are expected to purchase houses in cities and towns for the sake of employment,marriage,children’s education,and access to public services.As a result,there is an extensive market of potential purchasers,which affects the development of the local urban real estate industry and is of great significance for returning migrant workers to truly integrate into the cities.However,some returning migrant workers still choose to purchase houses in villages,mainly affected by traditional concepts,living habits,and the better development of villages.Therefore,it is of great practical significance to explore the willingness of returning migrant workers to purchase houses,so as to master the flow laws and future behavior of returning migrant workers to purchase houses.
文摘“Human-elephant conflict(HEC)”,the alarming issue,in present day context has attracted the attention of environmentalists and policy makers.The rising conflict between human beings and wild elephants is common in Buxa Tiger Reserve(BTR)and its adjoining area in West Bengal State,India,making the area volatile.People’s attitudes towards elephant conservation activity are very crucial to get rid of HEC,because people’s proximity with wild elephants’habitat can trigger the occurrence of HEC.The aim of this study is to conduct an in-depth investigation about the association of people’s attitudes towards HEC with their locational,demographic,and socio-economic characteristics in BTR and its adjoining area by using Pearson’s bivariate chi-square test and binary logistic regression analysis.BTR is one of the constituent parts of Eastern Doors Elephant Reserve(EDER).We interviewed 500 respondents to understand their perceptions to HEC and investigated their locational,demographic,and socio-economic characteristics including location of village,gender,age,ethnicity,religion,caste,poverty level,education level,primary occupation,secondary occupation,household type,and source of firewood.The results indicate that respondents who are living in enclave forest villages(EFVs),peripheral forest villages(PFVs),corridor village(CVs),or forest and corridor villages(FCVs),mainly males,at the age of 18–48 years old,engaged with agriculture occupation,and living in kancha and mixed houses,have more likelihood to witness HEC.Besides,respondents who are illiterate or at primary education level are more likely to regard elephant as a main problematic animal around their villages and refuse to participate in elephant conservation activity.For the sake of a sustainable environment for both human beings and wildlife,people’s attitudes towards elephants must be friendly in a more prudent way,so that the two communities can live in harmony.
文摘Inward foreign direct investment （FDI） is expected to grow further by virtue of economic globalization. A thorough understanding of the locational determinants of inward FDI will be conducive to enhanced efficiency in attracting direct and SOC-related investments from foreign entities. This study analyzes 51 cases of inward direct foreign investment made in the Incheon free economic zone （IFEZ） from 2002 to 2009 to determine the factors influencing FDI volume, the relevance of locations and the correlation between investment size and location. First, the relationship between the loeational determinants of FDI and the total investment size （total expected project cost） is analyzed. Second, the relationship between the locational determinants of FDI and the FDI is analyzed. Third, the relationship between the locational determinants of FDI and the location choice is analyzed. The results indicate the determinants that influence locations and investment size of FDI entities; whether these factors exercise influence in the zone; and the factors that have relatively significant effects. Ultimately, based on the analytical findings, a few implications for policy and practice are derived.
基金Supported by"Twelfth Five-year"Social Science Research Project of Jilin Department of Education
文摘[Method]The paper was to understand factors influencing the channel choice of consumers buying beef.[Method]The selection behavior and influencing factors of beef consumption of Yanji urban residents in supermarkets and farmers’market were analyzed by constructing a binary Logistic model.[Result]Education level,monthly household income and household food expenditure to total income were positively correlated with beef purchase in supermarket,while age was negatively correlated with beef purchase in supermarket.[Conclusion]The main reasons that consumers buy beef in supermarket were type of beef,brand and clean environment,and in farmers’market were price,freshness and consumption habit.
文摘This study used the Binary Logistic regression model to estimate the willingness to pay (WTP) to reduce the use of plastic bags in the daily life of people in the Linh Nam ward. This study notes that households with higher incomes and higher levels of education tend to be more willing to pay. In addition, those who do not have access to information about the harmful effects of plastic bags and receive a higher proposed price often refuse to pay.
文摘Through field investigation, questionnaire interview and interview with experts and scholars, the study of the wisdom of the elderly endowment willingness and demand, understand wisdom pension service demand and social supply, and then found social in the problems that exist in the pension services will meet the wisdom, so as to put forward the targeted countermeasures and Suggestions, can cause social attention to wisdom pension services, promote and plural social capital to participate in, give full play to the role of the market.
基金funded through the programmatic funding-UIDP/04427/2020the research grant UI/BD/153356/2022 awarded by the Fundação para a Ciência e a Tecnologia(FCT)of Portugal to the Research Centre for Territory,Transports and Environment(CITTA).
文摘This paper provides a tool to identify key aspects for an airport to achieve global hub status for a given airline and determines whether these factors are related to the facility’s infrastructure,its region,or both.Despite the frequent use of the term‘hub’,there is little academic consensus on its exact definition in air transport.Many define a hub based on passenger numbers rather than the concentration of flights and passengers from the main carrier.This study addresses this gap by analyzing the factors influencing the definition of a hub and the commonalities among global hubs.Data from 300 major airports,including internal variables(runways,terminals,gates and area)and external variables(economy,population,attractiveness),were collected.A Binary Logistic Regression(BLR)model identified key aspects influencing hub status,with the assistance of an Exploratory Factor Analysis(EFA)that grouped the variables into factors.The binary‘hub’variable was defined by the main carrier’s activity and the Global Airport Connectivity Index(GACI).The factor with the highest coefficient primarily involved internal variables and,to a lesser extent,global attractiveness and population.The factor with the lowest coefficient related to the region economy.The BLR correctly identified hub status in 93.3%of cases,with 68.3%accuracy for hub airports.Airports not correctly identified by the model mostly present a lack or underutilization of existing infrastructure.
