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Modeling household car ownership using ordered logistic regression model

Journal of Southeast University(English Edition) 2014年第4期30卷 500-505页

作者：邓一凌过秀成东南大学交通学院南京210096

Considering both the discrete and ordered nature of the household car ownership an ordered logistic regression model to predict household car ownership is established by using the data of Nanjing Household Travel Survey in the year 2012. The model results show that some household characteristics such as the number of driver licenses household income and home location are *** the intersection density indicating the street patterns of home location and the dummy near the subway and the bus stop density indicating the transit accessibility of home location are *** model estimation obtains a good γ2 the goodness of fit of the model and the model validation also shows a good performance in *** marginal effects of all the significant explanatory variables are calculated to quantify the odds change in the household car ownership following a one-unit change in the explanatory variables.

关键词： household car ownership ordered logisticregression model marginal effect household characteristics neighborhood characteristics

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Analysis of passenger boarding time difference between adults and seniors based on smart card data

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Journal of Southeast University(English Edition) 2019年第1期35卷 97-102页

作者： Lei Da Chen Xuewu Cheng Long Luo Ronggen School of Transportation Southeast UniversityNanjing 210096China

As an essential component of bus dwelling time, passenger boarding time has a significant impact on bus running reliability and service quality. In order to understand the passengers’ boarding process and mitigate passenger boarding time, a regression analysis framework is proposed to capture the difference and influential factors of boarding time for adult and elderly passengers based on smart card data from Changzhou. Boarding gap, the time difference between two consecutive smart card tapping records, is calculated to approximate passenger boarding time. Analysis of variance is applied to identify whether the difference in boarding time between adults and seniors is statistically significant. The multivariate regression modeling approach is implemented to analyze the influences of passenger types, marginal effects of each additional boarding passenger and bus floor types on the total boarding time at each stop. Results show that a constant difference exists in boarding time between adults and seniors even without considering the specific bus characteristics. The average passenger boarding time decreases when the number of passenger increases. The existence of two entrance steps delays the boarding process, especially for elderly passengers.

关键词： elderly passengers smart card data boarding time differences analysis of variance regression analysis marginal effect

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Climate Change Perceptions , Impacts and Adaptation Strategies of F arm Households in Potohar Region of Punjab, Pakistan

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Journal of Energy and Power Engineering 2023年第4期17卷 136-151页

作者： Sohaib Aqib Syed Mohsin Ali Kazmi Muhammad Amjad Ahmed Ali Soomro Ghulam Farooque Khoso Department of Economics Faculty of Economics and Administrative ScienceNear East UniversityNicosia 99138North Cyprus Data Scientist Knowledge CorporationBusiness Center No 310Al Hilal Bank Buildingm AI Tawar AreaAl Qusais 2DubaiUAE Senior Scientific Officer-Global Climate-Change Impact Studies Centre Ministry of Climate ChangeIslamabad 44000Pakistan Depa rtment of Business Administration University of SindhJamshoroSindh 76060Pakistan Department of English Literature and Linguistics University of SindhJamshoroSindh 76060Pakistan

Climate change has become a global phenomenon and is adversely affecting agricultural development across the *** countries like Pakistan where 18.9%of the GDP(gross domestic product)came from the agriculture sector and also 42%of the labor force involved in *** are directly and indirectly affected by climate change due to an increase in the frequency and intensity of climatic extreme events such as floods,droughts and extreme weather *** this paper,we have focused on the impact of climate change on farm households and their adaptation strategies to cope up the climatic *** this purpose,we have selected farm households by using multistage stratified random sampling from four districts of the Potohar region ***,Rawalpindi,Jhelum and *** districts were selected by dividing the Potohar region into rain-fed *** have employed logistic regression to assess the determinants of adaptation to climate change and its *** have also calculated the marginal effect of each independent variable of the logistic regression to measure the immediate rate of change in the *** order to check the significance of our suggested model,we have used hypothesis testing.

关键词： Climate change multistage stratified random sampling impacts adaptation strategies logistic regression marginal effect Hypothesis testing

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