Study of Urban Greenway Planning Based on Multi-Source Data Analysis of Spatial Potential and User Behaviors — The Greenway Route Planning of Haidian District, Beijing

Chen, Xixi; Li, Liang; Tan, Li; Lü, Yang

doi:10.15302/j-laf-1-020013

Cited by 8 publications

(12 citation statements)

References 2 publications

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“…To achieve carbon peaking and carbon neutrality goals it is essential to provide cyclists with a bicycle-oriented urban environment. Existing research showed that a good cycling environment will make residents more inclined to choose bicycle travel (Chen, 2018(Chen, , 2019Dai et al, 2010). Bornstein and Davis (2014)'s research mentioned that "cycling environment" includes natural environment, social environment and built environment.…”

Section: Implication For Low-carbon Cycling Environment Planningmentioning

confidence: 99%

Research on bike-sharing travel behavior: A review of the Chinese language literature

Zhuang

GUO

et al. 2023

Transactions in Urban Data, Science, and Technology

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In recent years, with the development of information technology and the promotion of low-carbon concept, bike-sharing has gradually emerged in Chinese cities and become one of the daily travel modes for residents. Meanwhile, the research on bike-sharing travel behavior has become a hot topic in the field of urban transportation planning. However, due to the language barrier, relevant Chinese language literature is often neglected in the existing studies. To fill this gap, this paper provided a review of the Chinese literature that examines bike-sharing travel behaviors. Through bibliometric analysis, we found that recent papers in this area focused on the spatiotemporal characteristics, influencing factors and demand forecasting of bike-sharing trips. Further, we summarized the new data and methods adopted and the main findings obtained in these researches. In response to the current status of relevant studies, we concluded our insights on planning for a low-carbon cycling environment. Finally, we suggest that future directions should include the mining of socio-economic attributes of individual bike-sharing users, the influence of humanistic perception factors on bike-sharing trips, and the bike-sharing travel behavior in the post-pandemic era in China.

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Section: Implication For Low-carbon Cycling Environment Planningmentioning

confidence: 99%

Research on bike-sharing travel behavior: A review of the Chinese language literature

Zhuang

GUO

et al. 2023

Transactions in Urban Data, Science, and Technology

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“…At this stage, most of the greenway selection is carried out by constructing a s ity evaluation model, and the science and completeness of the selection element evaluation model is an important basis for the study. In order to scientifically an tively identify the factors influencing the suitability of urban greenway selection, per obtained 57 papers on the topic of "greenway selection" based on CNKI datab cording to the statistical method of literature information, among which 17 pape on the topic of "selection suitability evaluation" [11][12][13][14]16,17,20,25,[30][31][32][33][34][35][36][37][38]. The con the route suitability evaluation system in these 17 papers was studied, and the fre of specific factors was calculated by combining synonyms of the influencing fac obtain the set of influencing factors of urban greenway route selection (as Table cording to the landscape gardening planning and design ideas, combined with th ciple of "systematic continuity" in the "Guidelines for Greenway Planning and D the main line continuity (the degree of tandem with existing greenways) and the of existing greenways that can be directly used were selected as the influencing fa the study of the suitability of urban greenway selection.…”

Section: Evaluation Model Construction Of Urban Greenway Selection Po...mentioning

confidence: 99%

“…At this stage, most of the greenway selection is carried out by constructing a suitability evaluation model, and the science and completeness of the selection elements in the evaluation model is an important basis for the study. In order to scientifically and effectively identify the factors influencing the suitability of urban greenway selection, this paper obtained 57 papers on the topic of "greenway selection" based on CNKI database according to the statistical method of literature information, among which 17 papers were on the topic of "selection suitability evaluation" [11][12][13][14]16,17,20,25,[30][31][32][33][34][35][36][37][38]. The content of the route suitability evaluation system in these 17 papers was studied, and the frequency of specific factors was calculated by combining synonyms of the influencing factors to obtain the set of influencing factors of urban greenway route selection (as Table 1).…”

Section: Evaluation Model Construction Of Urban Greenway Selection Po...mentioning

confidence: 99%

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Research on Urban Greenway Alignment Selection Based on Multisource Data

2022

Sustainability

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At present, people’s growing need for a beautiful ecological environment needs to be met. As a high-quality ecological product, greenways help improve the living environment and promote green and coordinated development. How to scientifically and rationally plan greenway routes and expand the green ecological network has become an important issue for the sustainable development of high-density built-up areas. Therefore, this study determines the suitability evaluation system of urban greenway alignment selection based on spatial constructiveness, greenway accessibility, resource attractiveness and public demand through factor analysis. Taking Xixi Wetland to South Lake in Yuhang District as an example, combining urban multi-source data and GIS spatial analysis methods, all routes suitable for greenway construction in the study area were determined, and four excellent greenway routes were initially identified through manual correction. Subsequently, the PSO-BP neural network model was trained using 172 greenway samples to obtain a greenway alignment suitability evaluation model with an accuracy of more than 96%, which was used for subsequent greenway alignment optimization. The above four preliminary greenway routes are substituted into the PSO-BP model to obtain the optimal greenway routes in the study area. The results show that there are 17 indicators in 4 levels and 8 dimensions in the urban greenway route selection potential model, among which two indicators, public cycling and running demand, have a greater weight and should be highly considered in the route selection assessment. The optimal planned route for the greenway start from Guangfu Temple entrance of Xixi Wetland, follow the roadside green belt and Yuhangtang River greenway to South Lake. The study obtained the best planning route for the greenway from Xixi Wetland to South Lake in Yuhang District, which is a new practice of landscape garden planning and design supported by multisource data and new technologies, with a view to providing a reference for the preferential selection of urban greenway routes in similar high-density built-up areas.

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“…Others believe that the factors affecting the supply of rural PG are analyzed from the four levels of individuals, families, villages, and regions above the village level [3,4]. In addition, some people said that local public products are connected with national public products and have characteristics that other types of public products do not have [5,6]. erefore, this article intends to use DM technology to analyze the gap between UR PG and provide solutions to narrow the gap between UR areas.…”

Section: Introductionmentioning

confidence: 99%

Supply Gap of Urban and Rural Public Goods Based on Big Data Mining Technology

Lin

2022

Mobile Information Systems

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The issue of the supply gap of public goods (PG) between urban and rural (UR) areas is a subject of great socio-economic significance and practical research value. To a large extent, it is related to the smooth progress of my country’s socialist market economy. The gap between the supply and demand of UR PG can be well analyzed by applying data mining (DM) technology in the era of big data. Due to the unbalanced supply of UR PG, this paper studies the distribution gap of UR PG through DM. This article mainly uses experimental, comparative, and survey methods to compare and analyze the urban-rural income gap and uses modern technology to describe the relationship between the supply of PG and income. Experimental results show that the UR income gap ratio is above 2, and the gap is still large. Therefore, for the supply of PG, there are also certain differences between UR areas.

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Study of Urban Greenway Planning Based on Multi-Source Data Analysis of Spatial Potential and User Behaviors — The Greenway Route Planning of Haidian District, Beijing

Abstract: Multi-dimensional collaborative development of the ecological space of Beijing-Tianjin-Hebei region and Peri-capital ecological spatial pattern optimization and implementation strategy, the World-Class Discipline Construction and Characteristic

Cited by 8 publications

References 2 publications

Research on bike-sharing travel behavior: A review of the Chinese language literature

Research on bike-sharing travel behavior: A review of the Chinese language literature

Research on Urban Greenway Alignment Selection Based on Multisource Data

Supply Gap of Urban and Rural Public Goods Based on Big Data Mining Technology

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