主要成果 | Dingkang Teng

工作论文（未发表）

Mon, 04 May 2026 02:00:00 +0000

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本页面列举了所有尚未发表的工作论文

Teng, D., Tang, J.H.C.G., Ma, R., Yang, X., & Zhuge, C. The potential influences of flooding on accessibility and equity of public electric vehicle charging infrastructure: A global insight. (准备中). [拟投期刊： Nature Cities]

From Points to Patterns: Global Spatial Accessibility and Equity in Public Electric Vehicle Charging (Under Review)

Mon, 04 May 2026 00:01:00 +0000

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This paper is Under Review.

Advancing accessibility and equity of public electric vehicle charging stations in China (Under Review)

Mon, 09 Mar 2026 00:01:00 +0000

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This paper is Under Review.

Dynamic Social Disparities in the U.S. Electric Vehicle Charging Infrastructure System

Tue, 03 Mar 2026 00:00:00 +0000

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Highlights

Charger deployment favored wealthier and more populated counties with high MUD shares.
Social equity is dynamic rather than static.
Asians saw improved accessibility, while Black Americans faced widening disparities.
White Americans benefit more from DC over the past decade.
Elderly have greater access to both DC and AC chargers than younger adults.

A global insight into integration of metro and electric vehicle charging stations

Fri, 06 Feb 2026 00:00:00 +0000

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Highlights

A global geodataset of EV charging stations (EVCS) and metro stations is provided.
The U.S. leads in EVCS aggregation near metro stations, yet development is uneven.
Europe shows balanced co-development of parking facilities and EVCS.
China shows strong potential to upgrade park-and-ride to park-charge-ride services.

This study provides one of the first comprehensive, data-driven assessments of the emerging Park-Charge-Ride (PCR) concept across 153 urban areas in the United States, Europe, and China. By analyzing the spatial proximity, density, and clustering patterns of electric vehicle charging stations (EVCS) and parking lots relative to metro stations, we reveal significant regional disparities in the readiness and development of integrated electric mobility hubs:

Substantial regional contrasts: The United States shows strong but uneven aggregation of EVCS near metro stations; Europe achieves a more balanced integration of EVCS and parking facilities; while China, despite its extensive metro networks, exhibits limited EVCS integration near transit nodes.
No significant link to station type: The distribution of EVCS does not significantly align with metro station types (normal, interchange, or terminal), indicating a missed opportunity for targeted infrastructure planning.
Divergence between PCR and P&R development: The U.S. shows stronger development of PCR relative to traditional Park-and-Ride (P&R), whereas China has strong P&R presence but significant potential to upgrade to PCR. Europe maintains parity between the two.

The research underscores that integrating EV charging with transit systems is highly context-dependent and should align strategically with local urban development goals. It provides evidence-based insights to help policymakers, transport planners, and urban developers optimize charging infrastructure placement, enhance multimodal connectivity, and support the global shift toward sustainable electric mobility.

基于机器学习的房地产市场划分方法——以武汉市为例 (Translation: Real estate market segmentation method based on machine learning - a case study of Wuhan)

Sun, 13 Oct 2024 00:00:00 +0000

Abstract (Translation)

This study uses a sample of 6,154 residential real estate transaction records in Wuhan in March 2024, obtained through web scraping, to investigate how machine learning techniques, combined with big data analysis, can be used to segment the real estate market. The study selects the market average price as the feature variable for segmenting the real estate market, explores the application of neural networks and the K-means model in this segmentation, and further investigates how to improve the K-means model into a spatial segmentation model based on the K-means price and coordinate separation model. It ultimately concludes that the K-means price and coordinate separation model is an effective approach for real estate market segmentation. By utilizing normalized mutual information, the results of the K-means price and coordinate separation model are compared with Wuhan’s current “Real Estate Market Regional Segmentation” and the traditional Kriging interpolation method, validating the model’s effectiveness and practicality. The study demonstrates that the machine learning-based “K-means price and coordinate separation model” holds significant importance for the analysis and management of the real estate market.

一种自然资源资产清查方法及系统 (Translation: A Method and System of Natural Resource Asset Inventory)

Fri, 01 Mar 2024 00:00:00 +0000

Abstract (Translation)

The present application relates to a method and system for natural resource asset inventory, which pertain to the technical field of asset inventory. The method includes: obtaining the total area and location information of the region to be inventoried; acquiring terrestrial spatial planning scope data and marine spatial planning scope data for the region to be inventoried; determining whether there is an overlapping area between the region covered by the terrestrial spatial planning scope data and the region covered by the marine spatial planning scope data within the region to be inventoried; if so, dividing the region to be inventoried into a marine zone, a land-sea zone, and a land zone; obtaining the planned use of the land-sea zone according to the terrestrial spatial planning scope data, recorded as the first use; obtaining the planned use of the land-sea zone according to the marine spatial planning scope data, recorded as the second use; and determining the planned use of the land-sea zone based on the first use and the second use.

国有农用地使用权评估方法研究 (Translation: Study on the evaluation method of the use rights of state-owned agricultural land)

Mon, 01 Feb 2021 00:00:00 +0000

Abstract (Translation)

This paper focuses on the valuation methods for the use rights of state-owned agricultural land. By analyzing the ownership system and implications of state-owned agricultural land, it can be concluded that the use rights of state-owned agricultural land are not strictly statutory property rights. However, it is clear that the holder of the use rights of state-owned agricultural land is the registrant after legal registration of the land. Finally, the paper conducts an empirical evaluation using the example of a state-owned farm in Wuhan, demonstrating that the cost approach and the income capitalization method can most accurately reflect the price of the use rights of state-owned agricultural land. Additionally, whether comprehensive and accurate foundational data is available is a crucial guarantee for the precision of the valuation conclusion.