The socio-demographic and spatial dynamics of green space use in Guangzhou, China

Shan, Xi-Zhang

doi:10.1016/j.apgeog.2014.03.006

Cited by 49 publications

(41 citation statements)

References 42 publications

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“…Conversely, the public green spaces (PGSs) represent those that can be accessed freely and treated as public goods (de la Barrera, Reyes-Paecke, & Banzhaf, 2015). The PGSs in urban cities include the natural places dominated by green vegetation (e.g., forests, woods, gardens, and parks) and the artificial green spaces (e.g., roadside greenbelts, riverside greenbelts, green spaces around residence, green spaces around institution, squares and plazas) (Chen, Liu, & Liu, 2016;Shan, 2014;de la Barrera et al, 2015). In most cases, the PGSs are not evenly distributed in space within the urban cities (Barbosa et al, 2007;Ernstson, 2013;McConnachie & Shackleton, 2010).…”

Section: Introductionmentioning

confidence: 99%

Characterizing the inequalities in urban public green space provision in Shenzhen, China

You

2016

Habitat International

178

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Section: Introductionmentioning

confidence: 99%

Characterizing the inequalities in urban public green space provision in Shenzhen, China

You

2016

Habitat International

178

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“…We see a college campus, similar to the concepts of central place theory (Christaller, 1933) or Perroux's field of influence (growth poles) (Parr, 1999), functioning as the nucleus of new sustainable policy and practices (Balsas, 2003). We suggest that college students are an integral part of active transportation efforts that are in need of more explicit research dedicated to cycling preferences (Pucher, Buehler, Merom, et al, 2011;Shan, 2014).…”

Section: Cycling Among College Studentsmentioning

confidence: 99%

“…However, Xing et al (2010) and others do not examine why distance represents a greater barrier to some or serves to facilitate cycling for others. In terms of walking, Shan (2014) recently presented that "20 min walking distance is a critical divide"(p.32) in utilizing urban green spaces.…”

Section: Cycling Among College Studentsmentioning

confidence: 99%

“…The trend toward cycling as an important and healthy mode of transportation in larger cities has increased (League of American Bicyclists, 2013), and more and more communities are encouraging active transportation opportunities (Dujardin et al, 2012;Shan, 2014;Snizek et al, 2013). In the U.S., this trend is mostly seen in cities in the East and in Western states (League of American Bicyclists, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Cycling willingness: Investigating distance as a dependent variable in cycling behavior among college students

Wuerzer

Mason

2015

Applied Geography

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We present a novel approach to understanding distance as a barrier to cycling and its use as a dependent variable in multinomial logistic regression. In doing so, this study explores distances in relation to spatially and relevant human factors such as gender and propensity to cycle among college students. College students (N= 949) participated in a health survey and stated possible predictors of cycling based on their cycle usage and preferences in the previous 30 days. While utilizing GIS in a bicycle-friendly network, we created geo-statistical GISgroupings and performed multinomial logistic regression analysis. We examined college students to discover how their demographic and personal characteristics may mediate the deterrent properties of distance when considered as a dependent variable in cycling to a college campus. Age and propensity for cycling for transportation mediate the negative effect of distance on the likelihood of cycling. The findings also suggest that infrastructure improvements could lessen the impact of distance as a barrier to cycling and increase the likelihood of cycling for commuting.

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“…In contrast, few paths were associated with high frequency-high velocity flows, although most of them were long distance paths. This might be because quick modes of transport (metro) enable park visitors to travel long distances over a relatively short period of time, eliminating the inconveniences of road transport, but distant visitors do not often access parks for various park-based or user-based reasons [28][29][30]. For example, people who live far away may not visit small parks often, while older visitors may prefer to visit nearby parks [31].…”

Section: Travel Flows For Visiting Parksmentioning

confidence: 99%

Mapping and Quantifying Spatial and Temporal Dynamics and Bundles of Travel Flows of Residents Visiting Urban Parks

2017

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Abstract:Understanding the spatial and temporal movement patterns of residents visiting urban parks is essential to link park use with human well-being. There has been increasing interest recently in quantifying travel behaviors, but most studies have focused on flows of commuters within cities or tourists flows between cities. Actual, specific spatial and temporal connections between urban parks and residents within cities are still poorly understood. Here, we present an approach to take different types of travel flows into account when mapping and quantifying the spatial delivery and temporal dynamics of specific travel flows. This approach is based on empirical investigation of individuals' movements from their homes to parks and online map navigation technology. The flow maps we generated capture key travel flow patterns, addressing where, which, when, and how much they were associated with the use of recreational service provided by urban parks in Wuhan, China, during the summers of 2015 and 2016. Such maps may aid efforts to restore or improve the efficiency of park access and use. We also examined bundles of these spatial and temporal flows, and show that similar transport conditions were important for bundling spatial flows, while temporal flow bundles were significantly related to spatial features. These findings could help to reveal potential trade-offs and synergies of travel flows associated with space and time constraints and facilitate exploration of policy alternatives for equitable and efficient use of urban park systems.

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The socio-demographic and spatial dynamics of green space use in Guangzhou, China

Cited by 49 publications

References 42 publications

Characterizing the inequalities in urban public green space provision in Shenzhen, China

Characterizing the inequalities in urban public green space provision in Shenzhen, China

Cycling willingness: Investigating distance as a dependent variable in cycling behavior among college students

Mapping and Quantifying Spatial and Temporal Dynamics and Bundles of Travel Flows of Residents Visiting Urban Parks

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