Non-linear relationships between built environment characteristics and electric-bike ownership in Zhongshan, China

2019 ◽  
Vol 75 ◽  
pp. 286-296 ◽  
Author(s):  
Chuan Ding ◽  
Xinyu Cao ◽  
Meixuan Dong ◽  
Yi Zhang ◽  
Jiawen Yang
Keyword(s):  
Built Environment ◽  
Linear Relationships ◽  
Non Linear ◽  
Electric Bike

scholarly journals Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiani Wu ◽  
Chunli Zhao ◽  
Chaoyang Li ◽  
Tao Wang ◽  
Lanjing Wang ◽  
...  
Keyword(s):  
Older Adults ◽  
Land Use ◽  
Built Environment ◽  
Green Space ◽  
Additive Model ◽  
Walking Behavior ◽  
Old Adults ◽  
Linear Relationships ◽  
Walking Activity ◽  
Non Linear

Aim: Promoting walking activity is an effective way to improve the health of older adults. Walking frequency is a critical component of walking behavior and an essential determinant of daily walking levels. To decipher the association between the built environment and walking frequency among older adults, this study's aims are as follows: (1) to empirically test whether non-linear relationships between the two exist, and (2) to identify the thresholds of the built environment characteristics that promote walking.Methods: The walking frequency of old adults was derived from the Zhongshan Household Travel Survey (ZHTS) in 2012. The sample size of old adults aged 60 or over was 4784 from 274 urban and rural neighborhoods. A semi-parametric generalized additive model (GAMM) is used to analyze the non-linear or non-monotonic relationships between the built environment and the walking frequency among older adults.Results: We found that non-linear relationships exist among five out of the six built environment characteristics. Within certain thresholds, the population density, sidewalk density, bus stop density, land use mixture, and the percentage of green space are positively related to older adults' walking trips. Furthermore, the land use mixture and the percentage of green space show an inverse “V”-shaped relationship.Conclusions: Built environment features can either support or hinder the walking frequency among older adults. The findings in the current study contribute to effective land use and transport policies for promoting active travel among older adults.

scholarly journals Associations of built environment attributes with bicycle use for transport

2019 ◽  
Vol 47 (9) ◽  
pp. 1745-1757
Author(s):  
Mohammad Javad Koohsari ◽  
Rachel Cole ◽  
Koichiro Oka ◽  
Ai Shibata ◽  
Akitomo Yasunaga ◽  
...  
Keyword(s):  
Built Environment ◽  
Level Density ◽  
Residential Density ◽  
Travel Survey ◽  
Linear Relationships ◽  
Walk Score ◽  
Non Linear ◽  
Medium Level ◽  
Objectively Measured ◽  
Continuous Measures

An increasing number of studies have examined neighbourhood built environment attributes associated with cycling. Some of them suggest non-linear relationships between built environment attributes and cycling. This study examined the strength and shape of associations of cycling for transport with objectively measured built environment attributes. Data were from 9146 Australian adults who took part in the 2009 South-East Queensland Travel Survey. Participants (aged 18–64 years) completed a 24-hour travel survey, in which they reported modes of travel. Residential density, Walk Score and a Space Syntax measure of street integration were calculated at a neighbourhood level using geographic information systems. Multilevel logistic regression analyses examined associations of bicycle use with each built environment attribute, which was modelled continuously and categorically. All continuous measures of the built environment attributes were associated with bicycle use. Each one-decile increment in residential density, Walk Score, and street integration was associated with 13%, 16%, and 10% higher odds of bicycle use, respectively. However, the associations appeared to be non-linear, with significant odds ratios observed only for the higher categories of each built environment attribute relative to the middle category. This study found that adults living in high-density neighbourhoods with more destinations nearby and well-connected streets were more likely to cycle for transport. However, medium-level density, access to destinations and street connectivity may not be enough to facilitate bicycle use. Further studies are needed to investigate urban design threshold values above which cycling can be promoted.

Linear and non-linear relationships between soil sorption and hydrophobicity

2012 ◽  
Vol 23 (1-2) ◽  
pp. 111-123 ◽  
Author(s):  
Y. Wen ◽  
L.M. Su ◽  
W.C. Qin ◽  
J. He ◽  
L. Fu ◽  
...  
Keyword(s):  
Soil Sorption ◽  
Linear Relationships ◽  
Non Linear

scholarly journals Neural network emulation of a rainfall-runoff model

2007 ◽  
Vol 4 (1) ◽  
pp. 287-326 ◽  
Author(s):  
R. J. Abrahart ◽  
L. M. See
Keyword(s):  
Neural Network ◽  
Transfer Functions ◽  
Network Models ◽  
Exact Equation ◽  
Rainfall Runoff ◽  
Neural Network Models ◽  
Linear Relationships ◽  
Non Linear ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. The potential of an artificial neural network to perform simple non-linear hydrological transformations is examined. Four neural network models were developed to emulate different facets of a recognised non-linear hydrological transformation equation that possessed a small number of variables and contained no temporal component. The modeling process was based on a set of uniform random distributions. The cloning operation facilitated a direct comparison with the exact equation-based relationship. It also provided broader information about the power of a neural network to emulate existing equations and model non-linear relationships. Several comparisons with least squares multiple linear regression were performed. The first experiment involved a direct emulation of the Xinanjiang Rainfall-Runoff Model. The next two experiments were designed to assess the competencies of two neural solutions that were developed on a reduced number of inputs. This involved the omission and conflation of previous inputs. The final experiment used derived variables to model intrinsic but otherwise concealed internal relationships that are of hydrological interest. Two recent studies have suggested that neural solutions offer no worthwhile improvements in comparison to traditional weighted linear transfer functions for capturing the non-linear nature of hydrological relationships. Yet such fundamental properties are intrinsic aspects of catchment processes that cannot be excluded or ignored. The results from the four experiments that are reported in this paper are used to challenge the interpretations from these two earlier studies and thus further the debate with regards to the appropriateness of neural networks for hydrological modelling.

scholarly journals Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model

2021 ◽  
Vol 18 (18) ◽  
pp. 9592
Author(s):  
Lanjing Wang ◽  
Chunli Zhao ◽  
Xiaofei Liu ◽  
Xumei Chen ◽  
Chaoyang Li ◽  
...  
Keyword(s):  
Older Adults ◽  
Land Use ◽  
Built Environment ◽  
Social Environment ◽  
Public Transport ◽  
Dwelling Unit ◽  
Bus Stop ◽  
Environment Variable ◽  
Non Linear ◽  
Unit Density

Global aging has raised increasing concerns on the health and well-being of older adults. Public transport is a viable option to improve the mobility and quality of life among older adults. However, policies that promote the public transport use among older adults are rare. This study utilizes the eXtreme Gradient Boosting (XGBoost) decision tree to explore the non-linear associations of the built and social environment with bus use among older adults in China. The bus use of older adults was obtained from the Zhongshan Household Travel Survey (ZHTS) in 2012. Results show that non-linear relationships exist among all built environment and social environment characteristics. Within certain thresholds, the percentage of green space land use, land use mixture, bus-stop density, and dwelling unit density are positively related to bus use among older adults. Likewise, one social environment variable, the proportion of older adults in a neighborhood, is the key social environment variable. Furthermore, the dwelling unit density and proportion of older adults appear to have an inverse U-shaped relationship. Additionally, age, ownership of motorcycles, and distance from home to the nearest bus stop also show non-linearity. The findings presented in this paper facilitate effective planning interventions to promote bus use among older adults.

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