JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (6): 219-226.doi: 10.12302/j.issn.1000-2006.202206023

Previous Articles     Next Articles

Assessing the cycling catchment of large parks with online maps: a case study of Nanjing City

XU Zhen1(), LI Mingke1(), CHEN Yan1, ZHOU Zhenqi2   

  1. 1. College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
    2. Department of Geography,University at Buffalo,New York 14261, USA
  • Received:2022-06-15 Revised:2022-10-18 Online:2023-11-30 Published:2023-11-23

Abstract:

【Objective】Large parks provide suitable natural places for residents to engage in physical activity and social interaction. This helps to promote residents’ health, community integration and contributes to healthy cities. Efficiency, convenience, and zero carbon emissions make cycling an important and promising travel mode between residential areas and large parks. Exploring the cycling catchments of large parks provides a reference for planning and developing urban green spaces. 【Method】This study identified the cycling paths between the large parks and surrounding residences in Nanjing City in the Baidu Map with self-written codes, and analyzed the cycling catchment of the large parks and the relevant benefits for the surrounding residential areas at different cycling times. 【Result】The cycling catchment of large parks within 15 minutes covered most of the residential buildings and neighborhoods in main urban areas, though existing some areas lacking of large parks. The service efficiency of different parks varied and the benefits to residents in different neighborhoods and districts. 【Conclusion】In general, the improvements are expected to increase the cycling accessibility of some large parks in Nanjing City. The construction of large parks should be combined with urban cycling traffic optimization to further improve park service efficiency and residents’ travel experiences.

Key words: comprehensive park, cycling catchment, Baidu Map, low-carbon transportation, slow traffic system, Nanjing City

CLC Number: 

Recommendations
MANAGEMENT STRATEGY OF CARBON SEQUESTRATION FOREST UNDER CARBON SEQUESTRATION PRICE INSURANCE
GUI Zhi et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
LAND COVER CLASSIFICATION AND PREDICTION BASED ON MULTIPLE CLASSIFIER ENSEMBLE LEARNING
JIANG Lufan et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
CONSTRUCTION AND APPLICATION OF THE LEAF AREA PREDICTION MODEL FOR YOUNGQUERCUS VARIABILIS
LI Hui et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
A SINGLE TREE LEAF AREA PREDICTION MODEL IN THELARIX OLGENSISANDFRAXINUS MANDSHURICAMIXED FOREST
WANG Yue et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
THE FLOWERING PHENOLOGY RESPONSE OF FIVE EARLY SPRING WOODY PLANTS TO THE URBAN HEAT ISLAND EFFECT IN NANJING
SHI Lisha et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
THE TAILWATER PURIFICATION EFFECTIVENESS OF THREE AQUATIC PLANTS AND THEIR SUBSEQUENT PHYSIOLOGICAL CHANGES AQUATIC
XIA Tongtong et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
STRUCTURAL PREDICTION OF GLUTATHIONE S-TRANSFERASE (GST) INLYMANTRIA DISPARAND ITS MOLECULAR DOCKING ANALYSIS WITH POPLAR SECONDARY METABOLITES
XIE Jiaming et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
DISTRIBUTION PATTERNS OF ANT SPECIES IN SOUTHEASTERN YUNNAN PROVINCE
YANG Lin et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
EFFECTS OF EXTREME CLIMATE ON THE DISTRIBUTION AND POTENTIAL HABITAT OFHYPHANTRIA CUNEAIN CHINA
XUE Mingyu et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
THE BIRD DIVERSITY SPATIAL AND TEMPORAL DISTRIBUTION PATTERNS AND ITS HOTSPOT AREAS IDENTIFICATION IN CHENGDU CITY
REN Shichao et al., JOURNAL OF NANJING FORESTRY UNIVERSITY NATURAL, SCIENCES EDITION, 2024
Powered by