Effects of neighborhood types &amp; socio-demographics on activity space

Chen, Na; Akar, Gulsah

doi:10.1016/j.jtrangeo.2016.05.017

Cited by 38 publications

(28 citation statements)

References 30 publications

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“…For these studies, key locations were used to define the activity space. Locations included trip origin and destinations (van Heeswijck et al, 2015; Chaix et al, 2016, 2017; Duncan et al, 2016) destinations actively travelled to (Villanueva et al, 2012), locations for activities (Fan, 2007; Harding, 2013; Colabianchi et al, 2014; Perchoux et al, 2014; Chen and Akar, 2016; Chen, Wang and Akar, 2017; Hasanzadeh, Broberg and Kytta, 2017), and home and school addresses (Larsen et al, 2009). Measures did not capture movement between locations.…”

Section: Methods Employedmentioning

confidence: 99%

“…Most activity spaces were delineated using data accumulated at the trip (n = 16), day (n = 13), or multi-day (n = 18) level. The majority of studies which assessed activity spaces at the day level used a separate measure per person per day but two studies used an average measure over a number of days to determine a mean daily activity space (Chen and Akar, 2016; Chen et al, 2017). Where specified, the minimum number of days required for participants to be included in analysis ranged from one to four.…”

Section: Methods Employedmentioning

confidence: 99%

“…This may be due to the limited number of days' worth of data collected, however, there is evidence of key differences in physical activity across these times (O'Donovan et al, 2017; O'Donovan et al, 2018). Only three studies quantitatively investigated the differences between weekday and weekend activity spaces (Kamruzzaman and Hine, 2012; Chen and Akar, 2016; Kang et al, 2017) with one finding that utilitarian walking was more likely to occur on weekdays than recreational walking (Kang et al, 2017). Two of the qualitative studies described how activity was patterned by day (Bell et al, 2015a; Meijering and Weitkamp, 2016) and found unique activities occurring at the weekends (Bell et al, 2015a) and differences in times and geographies of older adults' mobilities over different days depending on factors such as weather and availability of family (Meijering and Weitkamp, 2016).…”

Section: Methods Employedmentioning

confidence: 99%

See 2 more Smart Citations

Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality

2019

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Activity spaces are increasingly used to understand how people interact with their environment and engage in activity but their use may raise challenges regarding causal inference. We conducted a systematic review of findings and the methodological, analytical and conceptual issues relevant to causal inference. Studies were included if they comprised a spatial summary of locations visited, assessed any part of the causal pathway between the environment, physical activity and health, and used quantitative or qualitative methods. We searched seven electronic databases in January 2018 and screened 11910 articles for eligibility. Forty-seven studies were included for review. Studies answered research questions about features of or environmental features within activity spaces using a range of spatial and temporal summary techniques. The conceptual challenge of using activity spaces to strengthen causal inference was rarely considered, although some studies discussed circularity, temporality, and plausibility. Future studies should use longitudinal and experimental designs and consider the potential and actual use of spaces for physical activity, and their relationship with total levels of activity.

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Section: Methods Employedmentioning

confidence: 99%

Section: Methods Employedmentioning

confidence: 99%

Section: Methods Employedmentioning

confidence: 99%

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Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality

2019

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“…The classic clustering methods, such as hierarchical clustering and K-Means clustering, have been widely applied in studies of urban and regional pattern identification, neighborhood segregation, urban-rural classification, landscape planning, etc. [25][26][27][28][29][30][31][32][33]. However, because it is not easy to directly visualize the linkages among cities and observe the spatial patterns of the city clusters using the traditional clustering, we chose a new approach to identify the city clusters based on the highest proximities among the cities.…”

Section: City Cluster Based On Proximitymentioning

confidence: 99%

A New Geographical Cluster View on Passenger Vehicle Purchasing in Chinese Cities

Liu

Song

et al. 2018

IJGI

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Abstract:It is important to understand urban auto markets from a spatial perspective. Specifically, the question of how to simplify and visualize the relatedness of the complicated urban markets arises. Based on the concept of 'product space', this research explores the similarity between Chinese cities and identifies the city clusters using data of automobile sales in 2012. A city's automobile market is shared by different manufacturers and the proximity between two cities is evaluated based on the similarity or relatedness in the structure of the two markets. The spatial structures of the 'city clusters' derived from the proximities of automobile markets among cities are mapped, examined, and interpreted. The analysis indicates that cities with higher proximity tend to be similar. According to the intercity proximity index, four geographical city-clusters are identified: the Southeast developed city-cluster, North China city-cluster, Northeast city-cluster, and West city-cluster. Cities in the same cluster tend to share many common characteristics while cities in different clusters exhibit obvious variances, especially in terms of economic status and dominant automakers.

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“…The concerns regarding public transportation are relevant, as more urban environments are overcrowded, and distances are getting wider in terms of travel time [25]. The shape, density and growth of a transportation network determine changes in property values [26][27][28], exposure levels to air and noise pollution [24,29], accessibility degree to private or public services [30,31], or sprawling patterns [21,32]. Thus, the design of the mobility networks within human settlements can influence their livability levels, unfunctional networks conducting to public anger and eventually to planning-based conflicts.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Potential Conflict Occurrence Due to Metropolitan Transportation Planning: A Proposed Quantitative Approach

2020

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Large urban settlements are being organized in metropolitan areas, with a polarizing city influencing and shaping the landscape of the hinterland. Transport infrastructure networks are the main vectors for the permanent flux of resources, and these exchanges should be maintained undisturbed. A poor transportation network impedes the continuity of these flows, causing unsatisfaction, ultimately generating planning-based conflicts within metropolitan zones. This study aims in assessing the potential occurrence of metropolitan conflicts generated by the transportation network design. We used a quantitative approach based on a set of new proposed indexes. The methods were applied on nine metropolitan zones from Romania. The results show that each metropolitan zone has specific potential for conflict occurrence. The higher potential was recorded within the more recent established metropolitan zones. Our results raise the question on whether the Romanian metropolitan zones are fully functional and worthy of this status. The study provides a useful and usable tool in assessing the effectiveness of the transportation networks within metropolitan areas, establishing the potential conflict occurrence and it provides interesting insights about the metropolitan transportation issues, raising red flags toward local and regional decision makers and planners.

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Effects of neighborhood types & socio-demographics on activity space

Cited by 38 publications

References 30 publications

Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality

Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality

A New Geographical Cluster View on Passenger Vehicle Purchasing in Chinese Cities

Assessing the Potential Conflict Occurrence Due to Metropolitan Transportation Planning: A Proposed Quantitative Approach

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