Evaluating the effectiveness of urban growth boundaries using human mobility and activity records

Long, Ying; Han, Haoying; Tu, Yichun; Shu, Xianfan

doi:10.1016/j.cities.2015.05.001

Cited by 90 publications

(54 citation statements)

References 22 publications

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“…At the individual‐object level, regularities and rules implicit in patterns of human movement can be inferred from trajectories of movement (González, Hidalgo, & Barabási, ). In addition, by coupling human movement trajectories and POIs, researchers can analyze patterns in and drivers of travel behaviors (Long, Han, Tu, & Shu, ).…”

Section: Resultsmentioning

confidence: 99%

Big data‐enabled social sensing in spatial analysis: Potentials and pitfalls

Liao

Brown

Ding

et al. 2018

Transactions in GIS

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Over the past decade, there has been an unprecedented boom in the application of big data derived from location‐aware technology in GIScience. However, reflections on data quality lead to concerns about inaccurate or even erroneous spatial analysis results. This article contributes a meta‐analysis of big data‐enabled social sensing in spatial analysis. Big data‐enabled research has substantially enhanced our understanding of human population distribution and dynamics, land use, travel behavior, movement patterns, and spatial social networks from city to country to global levels. However, the effectiveness of big data‐enabled social sensing can be undermined by five critical issues related to research design: data volume, spatial coverage, locational information quality, and representativeness across socioeconomic and demographic groups. We suggest a framework for addressing the inherent bias in spatial big data at multiple stages of the research lifecycle and applying them to appropriate topics and scales of applications.

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Section: Resultsmentioning

confidence: 99%

Big data‐enabled social sensing in spatial analysis: Potentials and pitfalls

Liao

Brown

Ding

et al. 2018

Transactions in GIS

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“…Moreover, location conditions are influential factors that cannot be ignored. The distance from important traffic trunks is one of the factors affecting land-use change [54,67]. For most towns in China, urban development and industrial enterprise site selection are affected not only by high-grade highways, such as expressways and national highways, but also by provincial and county-level roads.…”

Section: Potential Influencing Factorsmentioning

confidence: 99%

Inside or Outside? The Impact Factors of Zoning–Land Use Mismatch

Zhang

et al. 2019

Sustainability

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A land-use plan is a core policy tool to curb excessive non-agriculturalization of agricultural land. The effect of plan implementation can affect sustainable land use and regional development. Empirical studies have shown that land development commonly and frequently fails to conform to land-use plans. However, neither qualitative nor quantitative studies are conducted to comprehensively explore the reasons for zoning-land use mismatch. To help bridge this gap, this study explored to what extent a plan has been implemented and what factors have affected zoning-land use mismatch. A new deviation discriminant framework of planning implementation was presented. Moreover, the logistics model was applied to discuss which factors substantially affect the zoning-land use mismatch. The plan implementation results were divided into the conformed, exceeded and unused areas. The general land-use plan failed in its spatial control over rural settlements and other built-up lands, with both more than 90% of the newly added construction land beyond zoning. In addition, the newly added construction land of rural settlements, other built-up lands, and transportation lands all exceeded the quota control. Furthermore, the physical factors of distance from the river, the elevation, the slope and the level, and the social-economic factors of the gross domestic product, the fiscal revenue, the fixed assets investments, and the rank of town have prominent effects on zoning-land use mismatch. Enhancing the flexibility of the land-use plan and strengthening the relationship between planning quotas and spatial zoning in the future are necessary to promote the effect of plan implementation.

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“…令数据研究城市人口分布 [7] 、空间结构 [8] 、商圈影响力、居民出行距离等 [9] ；利用出租车 GPS 数据预测拥堵地点 [10] ；利用居民活动 GPS 数据分析城郊居民日常活动时空特征 [11] ；利用社交网络位置数据和签到信息研究城市用地功能与混合度 [12] 、城市发展边界 [13] 、城市活动区域划分 [14] 、城市网络信息空间结构 [15] ；利用百度指数研究区域城市网络特征 [16] ；利用百度、高德迁徙数据研究城镇体系、居民黄金周旅游行为等 [17] ；利用大众点评数据研究餐饮业格局 [18] 、餐厅选址 [19] 等；利用全国 PM2.5 监测的在线数据研究 PM2.5 污染分布 …”

Section: 龙瀛刘伦unclassified