Young Saudi Women's travel behavior change over 2015/2020

Badawi, Samaa; Farag, Alshimaa A.

doi:10.1016/j.jth.2021.101080

Cited by 12 publications

(10 citation statements)

References 32 publications

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“…The authors delve into policy and regulatory considerations concerning e-scooter infrastructure design and safety concerns. Finally, Badawi and Farag (2021) analyses Saudi women’s travel patterns from 2015 to 2020. It highlights that young Saudi women predominantly rely on private cars for mobility.…”

Section: Related Workmentioning

confidence: 99%

Mobile data for studying public space, and trips in Mexico City: a study case of six suburban zones

Saniger,

López,

Delón

et al. 2024

Data & Policy

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This study uses anonymized GPS traces to explore travel patterns within six suburban zones and a central area in Mexico City. The descriptive analysis presented in this paper profiles trips by distance and investigates their distribution within each zone. It examines the prevalence of local trips, walkability, and the availability and spread of entertainment sites within 15-min isochrones accessible by foot, bicycle, transit, and private vehicle. Notably, the central zone boasts diverse entertainment offerings, commendable walkability, and a substantial proportion of short and long trips. It is found that GPS traces are within their home. However, the share of long trips for the inhabitants of central zones is considerably more significant than that for the suburbs. The study highlights suburban zones that could benefit from governmental intervention to enhance transportation and pedestrian conditions. Additionally, it identifies other suburban zones that resemble the central areas in terms of walkability, trip distribution by distances, and the accessibility of entertainment places.

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Section: Related Workmentioning

confidence: 99%

Mobile data for studying public space, and trips in Mexico City: a study case of six suburban zones

Saniger,

López,

Delón

et al. 2024

Data & Policy

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“…Since Berry (1958) put forward the theory of the "tertiary sector of economic activity", geographers have begun to pay attention to consumption preferences and consumption ability. This research can be divided into two classes: (1) The characteristics of residents' behaviors and their influencing factors; i.e., the characteristics of residents' shopping behaviors in different areas [4,5] and the characteristics of shopping behaviors of different people at different times [6][7][8][9]; (2) The simulation study of shopping behavior models, such as aggregate models, gravitation models, the Markov chain model, the discrete choice model of simulating individual behaviors, and the shopping behavior model of the multi-agent system [10,11].…”

Section: Literature Reviewmentioning

confidence: 99%

How Does China’s New Consumption Era Reshape Residents’ Shopping Behaviors from the Perspective of Community in Hohhot, China

Niu

Fang

2021

Sustainability

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In the new consumption era, the popularization and application of information technology has continuously enriched residents’ consumption channels, gradually reshaping their consumption concepts and shopping behaviors. In this paper, Hohhot is taken as a case study, using open-source big data and field survey data to theorize the characteristics and mechanism of residents’ shopping behaviors in different segments of consumers based on geography. First, communities were divided into five types according to their location and properties: main communities in urban areas (MCs), historical communities in urban areas (HCs), high-grade communities in the outskirts of the city (HGCs), mid-grade communities in urban peripheries (MGCs), and urban villages (UVs). On this basis, a structural equation model is used to explore the characteristics of residents’ shopping behaviors and their influencing mechanisms in the new consumption era. The results showed that: (1) The online shopping penetration rate of residents in UVs and HCs is lowest, and that of residents in HGC is highest. (2) The types of products purchased in online and offline shopping by different types of community show certain differences. (3) From the perspective of influencing mechanisms, residents’ characteristics directly affect their shopping behaviors and, indirectly (through the choice of community where they live and their consumption attitudes), their differences in shopping behaviors. Different properties of communities cannot directly affect residents’ shopping behaviors, but they can affect them indirectly by influencing consumption attitudes and then affect such behaviors. Typical consumption attitudes of the new era, such as shopping for luxuries and emerging consumption, have the most significant and direct influence on shopping behaviors, as well as an intermediate and variable influence.

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“…Despite the well-known benefits associated with PA engagement, research shows that a large proportion of the population around the world is failing to partake of the recommended PA guideline of 150 min of moderate-to-vigorous physical activity (MVPA) for adults each week, or the minimum of 60 min of MVPA per day for children and young people [ 13 ]. Lack of time, workload, the expansion of urbanisation, different modes of transportation, availability of entertainment gadgets, culture, autonomy, and lack of knowledge are some of the reported barriers to PA participation and incentives to an unhealthy lifestyle across the board [ 8 , 14 , 15 , 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

“…As previous research has reported, the prevalence of physical inactivity among the population of the Kingdom Saudi Arabia (KSA) is high, as compared to Western countries including the UK and the USA [ 18 ]. Moreover, recent research has reported that over 90% of the KSA population leads a sedentary lifestyle; this is particularly prevalent among females [ 16 , 17 ]. Some of the key factors contributing to the KSA’s population’s sedentary lifestyle include neighbourhood characteristics, including the rapid development of the country and the enhancement and availability of cars/transport and technological gadgets [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Association between Young People’s Neighbourhoods’ Characteristics and Health Risk Factors in Saudi Arabia

Al-Nuaim,

Bursais,

Hassan

et al. 2024

Healthcare

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Introduction: A neighbourhood’s environmental characteristics can positively or negatively influence health and well-being. To date, no studies have examined this concept in the context of Saudi Arabian youth. Therefore, this study aimed to evaluate the association between a neighbourhood’s environmental characteristics and health risk factors among Saudi Arabian youth. Methods: A total of 335 secondary-school students (175 males, 160 females), aged 15–19 years old, participated. Body mass index (BMI) and waist circumference measurements were taken, and physical activity (steps) was measured via pedometer. The perceived neighbourhood environment was assessed using the International Physical Activity Questionnaire Environment Module (IPAQ-E). Results: Significant differences were found between the youths from urban, rural farm, and rural desert locations in terms of BMI, waist circumference, daily steps, accessibility, infrastructure, social environment, household vehicles, safety, and access to facilities (p < 0.001). Rural desert youths were less active, and males (26.43 + 8.13) and females (24.68 + 5.03) had higher BMIs compared to the youths from other areas. Chi-square analysis revealed a significant difference (χ21 = 12.664, p < 0.001) between the genders as to social-environment perceptions. Males perceived their neighbourhood as a social environment more than was reported by females (68.39% and 50.28%, respectively). Pearson’s correlation revealed negative significant relationships between steps and both safety of neighbourhood (r = −0.235, p < 0.001) and crime rate (r = −0.281, p < 0.001). Discussion: Geographical location, cultural attitudes, lack of facilities, and accessibility impact youth physical-activity engagement and weight status; this includes environmental variables such as residential density, neighbourhood safety, household motor vehicles, and social environment. Conclusions: This is the first study examining associations with neighbourhood environments in the youths of the Kingdom of Saudi Arabia. Significant associations and geographical differences were found. More research and policy interventions to address neighbourhoods’ environmental characteristics and health risk factors relative to Saudi Arabian youth are warranted.

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Young Saudi Women's travel behavior change over 2015/2020

Cited by 12 publications

References 32 publications

Mobile data for studying public space, and trips in Mexico City: a study case of six suburban zones

Mobile data for studying public space, and trips in Mexico City: a study case of six suburban zones

How Does China’s New Consumption Era Reshape Residents’ Shopping Behaviors from the Perspective of Community in Hohhot, China

Association between Young People’s Neighbourhoods’ Characteristics and Health Risk Factors in Saudi Arabia

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