Explore the recreational service of large urban parks and its influential factors in city clusters – Experiments from 11 cities in the Beijing-Tianjin-Hebei region

Li, Fangzheng; Yao, Na; Liu, Dining; Liu, Wenping; Sun, Yihao; Cheng, Wenwen; Li, Xiong; Wang, Xiaoli; Zhao, Yannan

doi:10.1016/j.jclepro.2021.128261

Cited by 31 publications

(19 citation statements)

References 80 publications

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“…In addition, some research illustrated that the willingness of visitors would only decrease out of a certain threshold (Li et al, 2019a;Li et al, 2021). We would draw this characteristic with a hybrid Gaussian function.…”

Section: Huff Modelmentioning

confidence: 98%

“…At the same time, BaiduMap, as the data provider, brings dynamic traffic information by four travel modes that are driving, public transiting, riding, and walking. Some research also claimed that there is spatio-temporal characteristics of accessing to urban facilities (Yu and Shaw, 2007;Li et al, 2019b;Li et al, 2021). Thus, many research studies used different time periods to study tourists' recreational activities.…”

Section: Travel Time Datasetmentioning

confidence: 99%

“…The choice of the unreachable threshold normally varies among authors. For the catchment size, some borrowed the rules from related policies as the informed determination (Li et al, 2019a;Hu et al, 2020) and some confirmed the experience-based threshold in accordance with the actual travel patterns (Li et al, 2021). However, most research studies used the average travel time from the population sites to parks due to their easy acquisition (Qin et al, 2020).…”

Section: Parametersmentioning

confidence: 99%

“…After that, accessibility to facilities or services was defined as the potential of opportunities for interaction (Hansen, 1959). Then, two categories were developed to evaluate the accessibility, which are individualbased accessibility and location-based (place-based) accessibility (Geurs and Van Wee, 2004;Wang et al, 2018;Gong et al, 2021;Li et al, 2021). Individual-based accessibility defines attraction for each individual movement between locations.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies used a kernel density function (Guagliardo, 2004;Xia et al, 2019), a power function (Luo, 2014;Dony et al, 2015;Tao et al, 2018), or a Gaussian-based function (Dai, 2011;Cheng et al, 2016;Li et al, 2019b;Bryant and Delamater, 2019;Hu et al, 2020) to simulate travel cost. In particular, Gong et al (2021) improved the distance decay function with the actual travel behavior from trajectories to reflect the real travel distance impedance (Li et al, 2021). Another solution is changing the catchment area wherein different people would accept different travel costs in terms of different conditions (McGrail and Humphreys, 2009).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes

Tan

Wang²,

Wang³

et al. 2022

Front. Environ. Sci.

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With social media platforms becoming popular in recent years, Big Data has become an effective way to explore human-oriented service capability of parks. In this research, the spatial accessibility of urban parks under four different travel modes (driving, transiting, biking, and walking) and multiple modes was analyzed by integrating the actual experiences of visitors and real travel time. We took the built-up area of Chengdu, Sichuan Province, China as the research area and drew conclusions as follows: 1) park accessibility of Chengdu still has a large space for promotion. 2) Residents living in the east region of Qingyang District and Wuhou District, north area of Jinniu District, and Chenghua District are more convenient to visit parks, as well as the population center of Longquanyi District, Shuangliu District, and Pidu District. In addition, riders and walkers are more likely to go to the nearest park. 3) Accessibility of parks would be affected significantly during peak hours and weekends by driving and multiple modes, while the other travel modes had little influence. 4) Spatial aggregation was more obvious during the peak hours of weekdays under driving modes, while there were obvious cold spot areas distributed continuously for riders. 5) Park desert was found in Yongquan Subdistrict, Jitouqiao Subdistrict, and Chenglonglu Subdistrict, which were near the downtown. Overall, Chengdu must make rational use of small and micro spaces in the city to add greenery to the corners of the city and integrate parks with other surrounding industries to inspire the entertainment, economy, and tourism function of parks. Through the modified 2SFCA method, this study provide a more realistic and human-oriented way to demonstrate the accessibility. Also, the results can guide cities to understand what reasonable and appropriate parks they need to build to achieve the equalization of park recreation services.

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Section: Huff Modelmentioning

confidence: 98%

Section: Travel Time Datasetmentioning

confidence: 99%