scholarly journals Linking activity participation, socioeconomic characteristics, land use and travel patterns: a comparison of industry and commerce sector workers

2013 ◽  
Vol 7 (3) ◽  
pp. 59-86 ◽  
Author(s):  
Cira Souza Pitombo ◽  
Eiji Kawamoto ◽  
Antonio Jorge Gonçalves de Sousa
Keyword(s):  
Land Use ◽  
Travel Behavior ◽  
Household Income ◽  
Statistical Significance ◽  
Activity Participation ◽  
Car Ownership ◽  
Economic Activities ◽  
Socioeconomic Characteristics ◽  
Trip Purpose ◽  
Industry And Commerce

The objective of this work is to analyze the travel behavior of industry and commerce sector workers in terms of three variables groups: activity participation, socioeconomic characteristics and land use. This work is based on the Origin-Destination survey carried out in the São Paulo Metropolitan Area (SPMA) in 1997. Relationships were found between the concerned variables (Decision Tree), and the statistical significance of independent variables was assessed (Multiple Linear Regression). We analyzed the influence of the three variables groups on travel pattern choices: (A) socioeconomic variables (Household Income, Transit Pass Ownership and Car-ownership) affect the travel mode sequence; (B) activity participation (Study, Work) has an effect on the trip purpose sequence; and (C) land use variables (accumulated proportion of jobs by distance buffers starting from the home traffic zone centroid) influence the sequence of destinations chosen, especially in the case of industry sector workers. The different spatial distributions of economic activities (commercial and industrial) in the urban environment influence the travel of workers. This paper contributes essentially proposing the land use variable, through the intervening opportunities model as well as the presentation of a methodology, formed by application of exploratory and confirmatory techniques of multivariate data analysis.

scholarly journals Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data

2018 ◽  
Vol 7 (12) ◽  
pp. 459 ◽  
Author(s):  
Xiaoyi Zhang ◽  
Wenwen Li ◽  
Feng Zhang ◽  
Renyi Liu ◽  
Zhenhong Du
Keyword(s):  
Land Use ◽  
Travel Behavior ◽  
Visual Analytics ◽  
Human Mobility ◽  
Residential Areas ◽  
Trip Purpose ◽  
Mobility Data ◽  
Point Of Interest ◽  
Functional Zones ◽  
Urban Functions

Human mobility data have become an essential means to study travel behavior and trip purpose to identify urban functional zones, which portray land use at a finer granularity and offer insights for problems such as business site selection, urban design, and planning. However, very few works have leveraged public bicycle-sharing data, which provides a useful feature in depicting people’s short-trip transportation within a city, in the studies of urban functions and structure. Because of its convenience, bicycle usage tends to be close to point-of-interest (POI) features, the combination of which will no doubt enhance the understanding of the trip purpose for characterizing different functional zones. In our study, we propose a data-driven approach that uses station-based public bicycle rental records together with POI data in Hangzhou, China to identify urban functional zones. Topic modelling, unsupervised clustering, and visual analytics are employed to delineate the function matrix, aggregate functional zones, and present mixed land uses. Our result shows that business areas, industrial areas, and residential areas can be well detected, which validates the effectiveness of data generated from this new transportation mode. The word cloud of function labels reveals the mixed land use of different types of urban functions and improves the understanding of city structures.

scholarly journals Socioeconomic Characteristics and the Impacts of Land Use Changes to Sugar Cane in Quirinópolis, Brazil

2019 ◽  
Vol 11 (10) ◽  
pp. 180
Author(s):  
Jean Marc Nacife ◽  
Frederico A. Loureiro Soares ◽  
Gustavo Castoldi
Keyword(s):  
Land Use ◽  
Sugar Cane ◽  
Survey Methodology ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Wilcoxon Test ◽  
P Value ◽  
Socioeconomic Impacts ◽  
Socioeconomic Characteristics ◽  
Productive Systems

The socioeconomic impacts arising from the change in the traditional productive systems for sugar cane have caused weightings. This article proposes to investigate the socioeconomic characteristics and impacts of the use of the land with cane field, by using municipal indicators and agricultural establishments of Quirinópolis. The field survey used margin of sampling error of 5% and a confidence level of 95%, sampling 58 establishments and aiming to analyze their characteristics and impacts in function of this change by means of socioeconomic indices proposed, statistical tests and correlations. We used the survey methodology applying inferential statistical techniques, cluster analysis, Spearman correlation tests of normality (Kolmogorov-Smirnov and Shapiro-Wilk) and hypothesis tests (Wilcoxon Test). The analysis of the socioeconomic indices approached two perspectives. In the Municipal Prospect, found that the indexes: IFDM-2005 [0.6713], IFDM-2016 [0.8387] and IFDM-V [0.1996]. The indices show the range of a high municipal development. In the analysis of agricultural establishments, the indices assessed the following values: rural exodus [-0.09], succession [1.44], association [3.75], rural heritage [-0.44 and -0.04] and overall remuneration [0.57]. About land use change, it was detected that occurred mostly in pastures converted to sugar cane; there is a correlation between the indices that the Wilcoxon tests confirmed the statistical significance at the level of 5% (p-value). It is concluded that the socioeconomic impacts promoted from change in land use of traditional productive systems for sugar cane were overwhelmingly positive and promoted the development in a view of municipal and agricultural establishments in the period studied.

ANALISIS PENGARUH PENDAPATAN TERHADAP KEPEMILIKAN MOBIL DAN SEPEDA MOTOR PADA RUMAH TAGGA DI SEPANJANG KORIDOR TRAYEK TRANS SARBAGITA

1970 ◽  
Author(s):  
I B. Wirahaji ◽  
D. M. Priyantha Wedagama ◽  
P. Alit Suthanaya
Keyword(s):  
Traffic Congestion ◽  
Household Income ◽  
Secondary Data ◽  
Motor Vehicles ◽  
Car Ownership ◽  
Vehicle Ownership ◽  
Trip Purpose ◽  
Logit Regression ◽  
Income Family ◽  
Multinomial Logit Regression

Sarbagita region is currently facing problems such as traffic congestion roads. High private vehicle ownership has a direct impact on the community in using public transport. Secondary data are extensively used in this study are from selected households along the corridor in 4 (four) Trans Sarbagita service. The data used is household income, family composition (number of members, workers, and students), ownership of motor vehicles (the number of cars and motorcycles), trip purpose (work, school and shopping). Statistical Package for Social Science (SPSS) version 20 software is used to perform a multinomial logit regression. In addition, GDP and inflation for 5 (five) years in Denpasar and Badung regency which is used to estimate the household income during the next 20 years. Analysis shows that household income <Rp. 3 million have increased the probability of car ownership and car 1 ? 0 motorcycle. In 2017 and 2032, this income affect household vehicle ownership respectively 36.4% and 46.5%. Meanwhile, the influence of household income of Rp. 3-5 million increase for type 0 cars and motorcycles ? 0 and 1 ? 0 cars and motorcycles. In 2017 and 2032, household income affect the ownership of the vehicle amounted to 34.6% and 38.7%. In 2017 and 2032, household income affect the ownership of the vehicle from one car and motorcycle ? 0, respectively by 33.9% and 35.3%.

scholarly journals Estimation of trip generation rates for residential land use in Uyo, Nigeria

2021 ◽  
Vol 39 (4) ◽  
pp. 972-980
Author(s):  
I.N. Usanga ◽  
R.K. Etim ◽  
V. Umoren
Keyword(s):  
Land Use ◽  
Household Income ◽  
Household Size ◽  
Transport Infrastructure ◽  
Car Ownership ◽  
Trip Generation ◽  
Residential Land ◽  
Residential Land Use ◽  
Cross Classification ◽  
Work Trip

Change in trip rates affects a transportation system and could lead to the redesign of the transport infrastructure in order to satisfy the new demand. This study estimates trip generation rates for residential land use in Uyo using cross classification method. Five (5) residential estates were considered and household survey carried out to collect trip data from 500 households on purpose and mode of travel through household interview and their response recorded in questionnaire. Four independent variables (household size, household income, car ownership, number of employed persons) were used for the study based on the prevailing conditions of theresidential land use. Cross-classification trip rates were developed from the most significant variables; household size, household income and car ownership. The analysis indicated that work trip produced the highest reported trip rates of 29.6% followed by religious trip of 24.7%. Similarly, private car trips contributed 42.8% of trips made by mode of travel as the highest trip. It was found that household size is the strongest socio-economic variable that influence trip generation in residential land use in Uyo. The cross-classification trip rates developed in this study could provide basis for the estimation of trip generation in residential land use in Uyo. Keywords: Trip generation; analysis of variance, ANOVA; cross classification 

Socio economic determinants of child labour in selected districts of Khyber Pakhtunkhwa, Pakistan

2018 ◽  
Vol 2 (1) ◽  
pp. 47-60
Author(s):  
Nabeela Begum ◽  
Javed Iqbal ◽  
Hina
Keyword(s):  
Labour Market ◽  
Family Size ◽  
Household Income ◽  
Child Labour ◽  
Primary Data ◽  
Economic Determinants ◽  
Khyber Pakhtunkhwa ◽  
Socioeconomic Characteristics ◽  
Education Organization ◽  
Children Education

This study examines the determinants of child labour in Mardan and Nowshera districts of Khyber Pakhtunkhwa. Primary data on socioeconomic characteristics of children engaged and did not engage in child labour were obtained from Labour Education Organization Mardan. Age of the children and family size are positively and education is negatively and significantly associated with the probability of children participation in labour market. The probability of child labour is more with the household income although with a very low coefficient value which is contrary to our expectations and may ne indicative that child labour could be a major source of household income. This study suggests that subsidies may be provided to families for their children education. Family size is also positively related to the child labour, therefore steps may be taken towards encouraging small family sizes and thereby reducing the child labour.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

scholarly journals Income Status and Life Satisfaction

2021 ◽  
Author(s):  
Felix R. FitzRoy ◽  
Michael A. Nolan
Keyword(s):  
Life Satisfaction ◽  
Household Income ◽  
Statistical Significance ◽  
Panel Survey ◽  
Explanatory Variables ◽  
Income Status ◽  
Two Measures ◽  
Reference Income ◽  
Relative Form ◽  
Retirement Status

AbstractThe importance of both income rank and relative income, as indicators of status, has long been recognised in the literature on life satisfaction and happiness. Recently, several authors have made explicit comparisons of the relative importance of these two measures of income status, and concluded that rank dominates to the extent that reference income becomes insignificant in regressions including both these explanatory variables, and that even absolute or household income, otherwise always positively related to happiness, may lose statistical significance. Here we test this hypothesis with a large UK panel (British Household Panel Survey and Understanding Society) for 1996–2017, split by age and retirement status, and find, contrary to previous results, that rank, household income and reference income are all usually important explanatory variables, but with significant differences between subgroups. This finding holds when rank is in its often-used relative form, and also with absolute rank.

scholarly journals Extra Health and Health-Related Costs of Living With Frailty Among Rural and Urban Elders in China

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 78-78
Author(s):  
Yalu Zhang ◽  
Ada Mui
Keyword(s):  
Chronic Diseases ◽  
Household Income ◽  
Statistical Significance ◽  
Healthcare Services ◽  
Standard Of Living ◽  
Medical Needs ◽  
Rural And Urban ◽  
Need Support ◽  
Health Related ◽  
Rural Elders

Abstract Growing attention has been focused on how to improve the affordability and accessibility of healthcare services, especially for elders (aged 55 and above) who have higher levels of medical needs. Following the standard of living approach, which assumes that people’s standard of living would be negatively affected if additional needs (i.e., healthcare) arise at a given level of household income, this secondary research examines elders’ extra health and health-related costs of having chronic diseases and disabilities in rural (n=5,509) and urban (n=3,225) areas of China. Bivariate analyses show there were no significant differences between rural and urban groups in terms of the prevalence of having one or more chronic diseases (56% vs. 58%) and at least one type of disability (15% vs. 13%). Multivariate analyses indicate that living with chronic diseases incurred more extra costs for rural elders than their urban peers, after controlling for individual and household characteristics. On average, rural elders who had at least three chronic medical conditions would spend 108.3% more on medical services than those who had no chronic disease; elders with at least two types of disabilities would spend 59.8% more than those with no disability. The extra health-related costs were boosted when people had at least one type of disability (63.6%), but this was not the case for those who had chronic diseases. Statistical significance was not found among urban elders in China regarding both health and health-related expenditures. The results suggest that rural elders need support to manage their chronic health conditions.

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