Literature DB >> 33572643

Optimization of Walk Score Based on Street Greening-A Case Study of Zhongshan Road in Qingdao.

Ye Sun1, Wei Lu1, Peijin Sun1.   

Abstract

Enhancing the walkability of urban streets is an effective means to improve public health, alleviate traffic congestion, and enhance the living environment. In China, the government has actively encouraged green travel and promoted improvements in the walk system. The walkability of the built environment is affected by many factors. In addition to the configuration of daily life facilities, street greening can have significant effects on walkability. To explore the rationality of street life facilities and understand the impact of the natural attributes of the block space (street-level greening) on the quality of the walking environment, we evaluated the walkability of Zhongshan Road in Qingdao, China and optimized the algorithm of the walk score. In this study, we selected residential areas as the starting point and modified the weight coefficients for facilities to evaluate the walkability of streets. Traditional research methods were combined with street view image capture, and the rate of the attenuation factor was used for the new optimization algorithm. We discussed the rationality of street life facilities and increased the green vision rate using a correction index. By comparing changes in walkability before and after joining, we analyzed the necessity of including new indicators. The results show that the average walking index of Zhongshan Road is 79.74, and the overall performance is good, showing a high trend in the west and a low trend in the east, and a high trend in the south and a low trend in the north. According to the general walking index, western stations and southern coastal areas have higher scores, and living facilities are well equipped; old northern and eastern residential areas have lower scores. Among them, the average weight of bookstores is 0.74, and the average weight of parks is 0.69. To meet residents' needs for daily leisure activities, adding bookstores or similar facilities in community parks would be necessary to improve daily facilities and services. The average green viewing rate of Zhongshan Road is 20.48%, which is lower than the best visual perception value of 25.00%. Comparing the walking index changes before and after adding the green viewing rate, the high-scoring area shifted from the west to the south, and the west walking index has the most significant decline. Street greening has a certain impact on the quality of the walking environment. The results and conclusions of this study can be used as a reference in developing street walkability indicators and further improving the evaluation system.

Entities:  

Keywords:  daily life facilities; geographic information system (GIS); green vision rate; walking index

Year:  2021        PMID: 33572643      PMCID: PMC7908287          DOI: 10.3390/ijerph18031277

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  19 in total

1.  Neighborhood walkability and the walking behavior of Australian adults.

Authors:  Neville Owen; Ester Cerin; Eva Leslie; Lorinne duToit; Neil Coffee; Lawrence D Frank; Adrian E Bauman; Graeme Hugo; Brian E Saelens; James F Sallis
Journal:  Am J Prev Med       Date:  2007-11       Impact factor: 5.043

2.  Systematic review of the use of Google Street View in health research: Major themes, strengths, weaknesses and possibilities for future research.

Authors:  Amanda Rzotkiewicz; Amber L Pearson; Benjamin V Dougherty; Ashton Shortridge; Nick Wilson
Journal:  Health Place       Date:  2018-07-14       Impact factor: 4.078

3.  Using Google Street View to audit the built environment: inter-rater reliability results.

Authors:  Cheryl M Kelly; Jeffrey S Wilson; Elizabeth A Baker; Douglas K Miller; Mario Schootman
Journal:  Ann Behav Med       Date:  2013-02

4.  Operational Definitions of Walkable Neighborhood: Theoretical and Empirical Insights.

Authors:  Anne Vernez Moudon; Chanam Lee; Allen D Cheadle; Cheza Garvin; Donna Johnson; Thomas L Schmid; Robert D Weathers; Lin Lin
Journal:  J Phys Act Health       Date:  2006-02

5.  Correlates of Walking for Transportation or Recreation Purposes.

Authors:  Chanam Lee; Anne Vernez Moudon
Journal:  J Phys Act Health       Date:  2006-02

6.  International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN Adult Study.

Authors:  Lars B Christiansen; Ester Cerin; Hannah Badland; Jacqueline Kerr; Rachel Davey; Jens Troelsen; Delfien van Dyck; Josef Mitáš; Grant Schofield; Takemi Sugiyama; Deborah Salvo; Olga L Sarmiento; Rodrigo Reis; Marc Adams; Larry Frank; James F Sallis
Journal:  J Transp Health       Date:  2016-03-22

7.  Validation of Walk Score for estimating access to walkable amenities.

Authors:  Lucas J Carr; Shira I Dunsiger; Bess H Marcus
Journal:  Br J Sports Med       Date:  2010-04-23       Impact factor: 13.800

8.  Associations of Neighborhood Walkability and Walking Behaviors by Cognitive Trajectory in Older Adults.

Authors:  Andrea L Rosso; Alyson B Harding; Philippa J Clarke; Stephanie A Studenski; Caterina Rosano
Journal:  Gerontologist       Date:  2021-09-13

9.  Comparison Study of Perceived Neighborhood-Built Environment and Elderly Leisure-Time Physical Activity between Hangzhou and Wenzhou, China.

Authors:  Jiabin Yu; Chen Yang; Shen Zhang; Diankai Zhai; Jianshe Li
Journal:  Int J Environ Res Public Health       Date:  2020-12-11       Impact factor: 3.390

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