Dingkang Teng

缓冲区分析

Tue, 10 Feb 2026 00:00:00 +0000

描述

这是用于缓冲区分析的主脚本。它围绕源点构建多环缓冲区，并统计每个缓冲环内的目标要素，适用于敏感性分析。

工具箱结构

该工具需要以下：

输入参数

源兴趣点（POI）图层

此字段指定包含源兴趣点（POI），即缓冲区中心的点图层。

选择源兴趣点（POI）的区域名称字段

此字段指定为源兴趣点定义区域名称（例如行政区）的字段。如果无需按区域计算，请选择一个所有值均相同的字段。

目标兴趣点（POI）图层

此字段指定包含待统计目标兴趣点的点图层。

选择目标兴趣点（POI）的区域名称字段

此字段指定为目标兴趣点定义区域名称的字段。如果无需按区域计算，请选择一个所有值均相同的字段。

注意

确保和中的值对应相同的区域。强烈建议使用生成区域名称字段。

定义缓冲区（米）（Python）

此字段使用 Python 列表或列表推导式定义缓冲区半径（以米为单位）。

Example

定义特定的缓冲区距离（例如 10、20、50、100、500、1000 米）
```
[10, 20, 50, 100, 500, 1000]
```
生成从 10 米到 2000 米、间隔为 10 米的缓冲区环
```
[10 * x for x in range(1,201)]
```

保存路径

输入输出 CSV 文件的文件名（不带.csv）。
结果将保存为 CSV 文件。

运行脚本

设置所有参数后，单击运行执行脚本。

结果

结果包含四列：

city：区域名称，由定义。
distance：缓冲区半径（以米为单位）。
Num：对于相应的 city 和 distance，缓冲区内的数量。
totalNum：相应 city 内的总数量。

开始使用

Tue, 10 Feb 2026 00:00:00 +0000

快速入门

下载工具箱

通过我的下载缓冲区分析工具。

如需查看源代码，请访问。欢迎探索、贡献或反馈问题。

提示

如无法访问GitHub，可以尝试使用以下镜像站（仅中文版）。

解压缓冲区分析工具

将缓冲区分析工具解压到您选择的任意位置。为方便起见，建议将其放置在 ArcGIS Pro 项目的根文件夹中，如下图所示。

在 ArcGIS 中打开工具箱

首次打开工具箱时，初始化可能需要几秒钟时间。

该工具箱中包含三个脚本：

：执行缓冲区分析的主脚本。
：仅根据缓冲区面积执行分析的专用脚本。
：用于按多边形划分兴趣点（POI）以进行缓冲区分析的辅助脚本。

注意

ArcGIS Pro 可能会警告您，打开 Python 工具箱将运行第三方代码。只需点击“是”即可继续。

下一步

以下章节将详细介绍这些脚本的具体用法：

缓冲区分析缓冲区分析（面积）区域划分

缓冲区分析（面积）

Tue, 10 Feb 2026 00:00:00 +0000

描述

这是一个专用脚本，仅根据缓冲区面积执行缓冲区分析。它围绕源点构建多环缓冲区，并计算每个缓冲环与指定区域边界相交的面积。

工具箱结构

该工具需要以下：

输入参数

源兴趣点（POI）图层

此字段指定包含源兴趣点（POI），即缓冲区中心的点图层。

选择源兴趣点（POI）的区域名称字段

此字段指定为源兴趣点定义区域名称（例如行政区）的字段。

区域图层

此字段指定定义每个区域边界的多边形图层。

选择区域图层的区域名称字段

此字段指定为多边形图层定义区域名称的字段。

注意

确保和中的值对应相同的区域。强烈建议使用从为生成区域名称字段。

定义缓冲区（米）（Python）

此字段使用 Python 列表或列表推导式定义缓冲区半径（以米为单位）。

Example

定义特定的缓冲区距离（例如 10、20、50、100、500、1000 米）
```
[10, 20, 50, 100, 500, 1000]
```
生成从 10 米到 2000 米、间隔为 10 米的缓冲区环
```
[10 * x for x in range(1,201)]
```

保存路径

输入输出 CSV 文件的文件名（不带.csv）。
结果将保存为 CSV 文件。

运行脚本

设置所有参数后，单击运行执行脚本。

结果

结果包含四列：

city：区域名称，由定义.
distance：缓冲区半径（以米为单位）。
Num：对于相应的 city 和 distance，缓冲环与相应城市边界相交的面积（以平方米为单位）。
totalNum：相应 city 的总面积（以平方米为单位）。

建议引用

Tue, 10 Feb 2026 00:00:00 +0000

TENG D, TANG JHCG, MA R, et al. A global insight into integration of metro and electric vehicle charging stations[J]. Sustainable Cities and Society, 2026, 139: 107217. .

区域划分

Tue, 10 Feb 2026 00:00:00 +0000

描述

这是一个辅助脚本，用于按多边形划分兴趣点以进行缓冲区分析。

工具箱结构

该工具需要以下：

输入参数

输入图层

此字段指定需要被划分的点图层。

区域划分图层

此字段指定定义每个区域边界的多边形图层。

选择区域名称字段

此字段指定为多边形图层定义区域的字段。

保存路径

输入输出的基本名称。
根据您指定的输出路径，结果将自动保存为 shapefiles (.SHP) 或文件地理数据库中的 要素类（feature classes）。

运行脚本

设置所有参数后，单击运行执行脚本。

结果

输出结果包含一个存储区域名称的字段，该字段以您选择的命名。

Example Talk

Sat, 01 Jun 2030 13:00:00 +0000

注意

Click on the Slides button above to view the built-in slides feature.

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Create slides using Hugo Blox Builder’s feature and link using the slides parameter in the front matter of the talk file
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Further event details, including such as image galleries, can be added to the body of this page.

全球电动汽车充电基础设施年度报告

Fri, 10 Jul 2026 00:00:00 +0000

香港理工大学

2026年1月—2026年12月

负责建设全球电动汽车充电设施（EVCS）空间数据库，完成多源数据（包括OpenStreetMap、各国统计机构、可再生能源网格数据等）的收集、清洗与标准化处理；
负责公共充电站空间分布分析（含聚集度、覆盖度指标测算及其与社会经济、土地利用关系的空间叠置）和可持续性评估（含可达性评估、空间公平性评估及风光潜能适配性评估）的计算建模与专题图编制。

摘要

敬请期待

下载连接

工作论文（未发表）

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

注意

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

注意

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

注意

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

提示

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

提示

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.

🎉 Easily create your own simple yet highly customizable blog

Fri, 27 Oct 2023 00:00:00 +0000

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Wed, 25 Oct 2023 00:00:00 +0000

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Tue, 24 Oct 2023 00:00:00 +0000

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Example math block:

$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math $\nabla F(\mathbf{x}_{n})$ renders as $\nabla F(\mathbf{x}_{n})$.

Example multi-line math using the math linebreak (\\):

$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

Experience

Tue, 24 Oct 2023 00:00:00 +0000

✅ Manage your projects

Mon, 23 Oct 2023 00:00:00 +0000

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!

Ideation

Hugo Blox supports a Markdown extension for mindmaps.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
- Hugo Blox
- blox-plugins-netlify
- blox-plugins-netlify-cms
- blox-plugins-reveal
```

renders as

- Hugo Modules
- Hugo Blox
- blox-plugins-netlify
- blox-plugins-netlify-cms
- blox-plugins-reveal

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done, des1, 2014-01-06,2014-01-08
Active :active, des2, 2014-01-07, 3d
Parallel 1 : des3, after des1, 1d
Parallel 2 : des4, after des1, 1d
Parallel 3 : des5, after des3, 1d
Parallel 4 : des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
 - [x] Write diagram example
- [ ] Do something else

renders as

Write math example
- Write diagram example
Do something else

国有农用地基准地价及土地定级

Thu, 01 Jun 2023 00:00:00 +0000

2023年6月—2024年6月

主要负责黄石市城区（含开发区·铁山区）公示地价体系更新项目中的国有农用地部分。工作内容主要包括空间分析、土地定级、土地估价和向部门提供与GIS相关的技术支持等。

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.

中国城市地价动态监测项目

Tue, 01 Dec 2020 00:00:00 +0000

2020年12月—2023年12月

主要负责黄石市城市地价动态监测，包括数据分析，撰写报告等任务。
2021年项目成果获得原湖北省国土空间规划院优秀评级。

自然资源资产清查

Tue, 01 Dec 2020 00:00:00 +0000

2020年12月—2024年6月

主要负责黄石市铁山区、大冶市的自然资源资产清查项目（包括第二批试点及第三批试点），包括数据整合、价格测算、建库、结果汇总和制图等任务。
为鄂东分部、粤海分部的黄冈市、海口市等其他城市的自然资源资产清查项目提供技术指导。

国家级大学生创新创业训练计划

Thu, 01 Jun 2017 00:00:00 +0000

华中农业大学

农村宅基地有偿退出的影响因素研究——基于湖北省宜城市宅基地改革试点区的实证

2017年6月—2019年6月

设计问卷，评估宅基地有偿退出的影响因素；
利用层次分析法分析并解释调查结果，从而得出各因素的影响程度；
综合收集的数据和发现，起草调查报告。

摘要

农村宅基地是土地三项改革中的重要的一部分。面对18亿亩耕地红线的必须保障，以及对城市化、工业化和统筹城乡发展的需求，而闲置和多余的农村宅基地退出对耕地资源保护和有效供应城市建设所需用地具有重要意义。本文就湖北省宜城市为例进行调查研究，走访了4镇10村，探究农户退出宅基地的意愿及其影响因素。研究结果可为地方政府宅基地改革政策提供一些可行的建议。

Dingkang Teng

缓冲区分析

描述

工具箱结构

输入参数

源兴趣点（POI）图层

选择源兴趣点（POI）的区域名称字段

目标兴趣点（POI）图层

选择目标兴趣点（POI）的区域名称字段

定义缓冲区（米）（Python）

保存路径

运行脚本

结果

开始使用

快速入门

下载工具箱

解压缓冲区分析工具

在 ArcGIS 中打开工具箱

下一步

缓冲区分析（面积）

描述

工具箱结构

输入参数

源兴趣点（POI）图层

选择源兴趣点（POI）的区域名称字段

区域图层

选择区域图层的区域名称字段

定义缓冲区（米）（Python）

保存路径

运行脚本

结果

建议引用

区域划分

描述

工具箱结构

输入参数

输入图层

区域划分图层

选择区域名称字段

保存路径

运行脚本

结果

Example Talk

全球电动汽车充电基础设施年度报告

香港理工大学

摘要

下载连接

工作论文（未发表）

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

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

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

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

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)

Abstract (Translation)

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)

Abstract (Translation)

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