scholarly journals On the importance of trip destination for modelling individual human mobility patterns

2020 ◽  
Vol 17 (171) ◽  
pp. 20200673
Author(s):  
Maxime Lenormand ◽  
Juan Murillo Arias ◽  
Maxi San Miguel ◽  
José J. Ramasco
Keyword(s):  
Recent Literature ◽  
Human Mobility ◽  
Mobility Patterns ◽  
Individual Mobility ◽  
Scaling Relationship ◽  
Wide Range ◽  
Shopping Trips ◽  
The Relationship ◽  
Travel Distances ◽  
Individual Human

Obtaining insights into human mobility patterns and being able to reproduce them accurately is of the utmost importance in a wide range of applications from public health, to transport and urban planning. Still the relationship between the effort individuals will invest in a trip and the importance of its purpose is not taken into account in individual mobility models that can be found in the recent literature. Here, we address this issue by introducing a model hypothesizing a relation between the importance of a trip and the distance travelled. In most practical cases, quantifying such importance is undoable. We overcome this difficulty by focusing on shopping trips (for which we have empirical data) and by taking the price of items as a proxy. Our model is able to reproduce the long-tailed distribution in travel distances empirically observed and to explain the scaling relationship between distance travelled and item value found in the data.

Understanding individual human mobility patterns

Nature ◽  
2008 ◽  
Vol 453 (7196) ◽  
pp. 779-782 ◽  
Author(s):  
Marta C. González ◽  
César A. Hidalgo ◽  
Albert-László Barabási
Keyword(s):  
Human Mobility ◽  
Mobility Patterns ◽  
Individual Human

Feminist or Feminine? The Feminine Principle in Occupational Therapy

1996 ◽  
Vol 59 (1) ◽  
pp. 2-6 ◽  
Author(s):  
Greg Kelly
Keyword(s):  
Occupational Therapy ◽  
Complementary Therapies ◽  
Recent Literature ◽  
Medical Model ◽  
Occupational Therapists ◽  
Theory And Practice ◽  
Wide Range ◽  
Feminine Principle ◽  
The Feminine ◽  
The Relationship

Recently, there has been renewed interest in the relationship between feminism and occupational therapy, but does occupational therapy continue to operate on the feminine principle which underlies the philosophical basis of the profession? There is a strong tendency by some occupational therapists to emulate the masculine principle which drives the medical model but this, in fact, places occupational therapy at a disadvantage in the prevailing male culture. Drawing on a wide range of recent literature related to education, professionalism, management, research, clinical reasoning and complementary therapies, this article argues that the feminine principle is very much alive in the theory and practice of occupational therapy today.

scholarly journals Exploring the Citywide Human Mobility Patterns of Taxi Trips through a Topic-Modeling Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hui Xiong ◽  
Kaiqiang Xie ◽  
Lu Ma ◽  
Feng Yuan ◽  
Rui Shen
Keyword(s):  
Power Law ◽  
Traffic Management ◽  
Large Scale ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Human Mobility ◽  
Mobility Patterns ◽  
Power Law Distribution ◽  
Modeling Analysis ◽  
Wide Range

Understanding human mobility patterns is of great importance for a wide range of applications from social networks to transportation planning. Toward this end, the spatial-temporal information of a large-scale dataset of taxi trips was collected via GPS, from March 10 to 23, 2014, in Beijing. The data contain trips generated by a great portion of taxi vehicles citywide. We revealed that the geographic displacement of those trips follows the power law distribution and the corresponding travel time follows a mixture of the exponential and power law distribution. To identify human mobility patterns, a topic model with the latent Dirichlet allocation (LDA) algorithm was proposed to infer the sixty-five key topics. By measuring the variation of trip displacement over time, we find that the travel distance in the morning rush hour is much shorter than that in the other time. As for daily patterns, it shows that taxi mobility presents weekly regularity both on weekdays and on weekends. Among different days in the same week, mobility patterns on Tuesday and Wednesday are quite similar. By quantifying the trip distance along time, we find that Topic 44 exhibits dominant patterns, which means distance less than 10 km is predominant no matter what time in a day. The findings could be references for travelers to arrange trips and policymakers to formulate sound traffic management policies.

scholarly journals Understanding individual human mobility patterns

Nature ◽  
2009 ◽  
Vol 458 (7235) ◽  
pp. 238-238 ◽  
Author(s):  
Marta C. González ◽  
César A. Hidalgo ◽  
Albert-László Barabási
Keyword(s):  
Human Mobility ◽  
Mobility Patterns ◽  
Individual Human

scholarly journals Non-random walks in monkeys and humans

2011 ◽  
Vol 9 (70) ◽  
pp. 842-847 ◽  
Author(s):  
Denis Boyer ◽  
Margaret C. Crofoot ◽  
Peter D. Walsh
Keyword(s):  
Random Walks ◽  
Cell Phone ◽  
Scaling Laws ◽  
Human Mobility ◽  
Self Organization ◽  
Home Ranges ◽  
Mobility Patterns ◽  
Spatio Temporal ◽  
Recurrent Patterns ◽  
Individual Human

Principles of self-organization play an increasingly central role in models of human activity. Notably, individual human displacements exhibit strongly recurrent patterns that are characterized by scaling laws and can be mechanistically modelled as self-attracting walks. Recurrence is not, however, unique to human displacements. Here we report that the mobility patterns of wild capuchin monkeys are not random walks, and they exhibit recurrence properties similar to those of cell phone users, suggesting spatial cognition mechanisms shared with humans. We also show that the highly uneven visitation patterns within monkey home ranges are not entirely self-generated but are forced by spatio-temporal habitat heterogeneities. If models of human mobility are to become useful tools for predictive purposes, they will need to consider the interaction between memory and environmental heterogeneities.

scholarly journals Seasonal labour migration and livelihood in the middle hill of Nepal: Reflections from Arghakhanchi District

2018 ◽  
Vol 1 (1) ◽  
pp. 42-57 ◽  
Author(s):  
Kanhaiya Sapkota
Keyword(s):  
Climate Change ◽  
Low Income ◽  
Urban Areas ◽  
Human Mobility ◽  
Forest Products ◽  
Seasonal Migration ◽  
Mobility Patterns ◽  
Indian States ◽  
Agricultural Income ◽  
The Relationship

People’s livelihood in the villages of the middle hill of Nepal are based on farming system. The relationship between climate change and seasonal labor migration in the middle hill areas is a relatively understudied research topic, particularly from an empirical point of view. This article aims at contributing to the literature by analyzing the relationship between livelihoods and human mobility in two rural communities located in the Province 5, Arghakhanchi district, Nepal. Traditional rain-fed agriculture is the most important economic activity in the area. This article highlights differences in livelihood and human mobility patterns between households. The economy of the middle hill is primarily agrarian. Over 80% of the population of the middle hill districts still lives in rural areas/settings, where levels of poverty are higher than in the neighbouring countries. They depend on farming and collecting forest products for their livelihoods. In Arghakhanchi district, during the dry season, many migrate in search of temporary work as labourers particularly in Indian states. Arghakhanchi is the district where the proportion of inhabitants from low income is relatively higher than the other surrounding districts of Province 5. These people are marginalized and experience high rates of poverty, low levels of education and poor health. They are highly vulnerable to climate change, due to poverty and dependence on climate-sensitive livelihoods in a vulnerable region. Consequently, more households are likely to participate in seasonal migration and those already migrating are credible to do so for longer times. Currently, such migrants take up low-paying unskilled works, mainly in urban areas in Uttarakhand, Panjab and Bhopal of India, which enables them to make meager savings, hardly enough to repay the debt of their family has incurred during food shortages. In the study area, the non-agricultural diversification is widespread and income from non-agricultural activities exceeds agricultural income. However, though mobility patterns in the area are determined primarily by broader economic considerations.Research Nepal Journal of Development Studies Vol.1(1) 2018 42-57

scholarly journals Modelling human mobility patterns using photographic data shared online

2015 ◽  
Vol 2 (8) ◽  
pp. 150046 ◽  
Author(s):  
Daniele Barchiesi ◽  
Tobias Preis ◽  
Steven Bishop ◽  
Helen Susannah Moat
Keyword(s):  
Urban Areas ◽  
Large Scale ◽  
Learning Algorithm ◽  
Human Mobility ◽  
Transportation Systems ◽  
Mobility Patterns ◽  
Online Data ◽  
Photo Sharing ◽  
Wide Range ◽  
The Uk

Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns.

scholarly journals The impact of biases in mobile phone ownership on estimates of human mobility

2013 ◽  
Vol 10 (81) ◽  
pp. 20120986 ◽  
Author(s):  
Amy Wesolowski ◽  
Nathan Eagle ◽  
Abdisalan M. Noor ◽  
Robert W. Snow ◽  
Caroline O. Buckee
Keyword(s):  
Mobile Phone ◽  
Human Mobility ◽  
Population Level ◽  
Time Frame ◽  
Data Sources ◽  
Mobile Phone Data ◽  
Human Populations ◽  
Mobility Patterns ◽  
Wide Range ◽  
The Impact

Mobile phone data are increasingly being used to quantify the movements of human populations for a wide range of social, scientific and public health research. However, making population-level inferences using these data is complicated by differential ownership of phones among different demographic groups that may exhibit variable mobility. Here, we quantify the effects of ownership bias on mobility estimates by coupling two data sources from the same country during the same time frame. We analyse mobility patterns from one of the largest mobile phone datasets studied, representing the daily movements of nearly 15 million individuals in Kenya over the course of a year. We couple this analysis with the results from a survey of socioeconomic status, mobile phone ownership and usage patterns across the country, providing regional estimates of population distributions of income, reported airtime expenditure and actual airtime expenditure across the country. We match the two data sources and show that mobility estimates are surprisingly robust to the substantial biases in phone ownership across different geographical and socioeconomic groups.

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