Exploring Commuting Characteristics and Regional Differences of New Energy Vehicles in the Guangdong–Hong Kong–Macao Greater Bay Area Based on ETC Big Data

IF 2 4区社会学 Q3 ENVIRONMENTAL STUDIES

Applied Spatial Analysis and Policy Pub Date : 2025-05-09 DOI:10.1007/s12061-025-09659-1

Junda Huang, Huiying Wen, Kunhuo Huang

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引用次数: 0

Abstract

The widespread adoption of electric vehicles has significantly reduced residents’ transportation costs and is gradually reshaping urban mobility patterns. As one of the world’s four major bay areas, the Guangdong-Hong Kong-Macao Greater Bay Area offers a unique opportunity to identify and analyze new energy vehicles commuting via its highways. This study focuses on these vehicles by leveraging extensive big data from highway Electronic Toll Collection (ETC) systems. We employed the K-means + + clustering algorithm to perform a comprehensive cluster analysis of vehicles within the study area, thereby identifying potential commuter vehicles and visualizing their commuting patterns and hotspots. These findings provide valuable insights for urban planners regarding the daily variations in travel demand among new energy commuters in metropolitan areas. The key findings are as follows: 1) Approximately 7.13% of the total new energy small passenger vehicles in the Greater Bay Area are potential commuter vehicles, predominantly concentrated in Shenzhen, Guangzhou, and Foshan. 2) There are notable regional differences in the types of new energy commuter vehicles; for instance, Guangzhou and Foshan tend to favor pure electric vehicles for commuting, whereas Shenzhen exhibits a different trend. 3) Among new energy commuter vehicles, 81.42% of trips are intra-city, primarily within Shenzhen, Guangzhou, and Foshan; while only 18.58% are inter-city, predominantly occurring between Shenzhen-Dongguan, Huizhou-Shenzhen, and Foshan-Guangzhou.

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基于ETC大数据的粤港澳大湾区新能源汽车出行特征及区域差异研究

电动汽车的广泛采用大大降低了居民的交通成本，并逐渐重塑了城市的交通模式。作为世界四大湾区之一，粤港澳大湾区提供了一个独特的机会来识别和分析通过其高速公路通勤的新能源汽车。本研究通过利用高速公路电子收费（ETC）系统的大量大数据，重点关注这些车辆。采用k - means++聚类算法对研究区域内的车辆进行综合聚类分析，识别潜在通勤车辆，并可视化其通勤模式和热点。这些发现为城市规划者提供了宝贵的见解，以了解大都市地区新能源通勤者的日常出行需求变化。研究发现：1)大湾区新能源小型乘用车中，潜在通勤车辆约占7.13%，主要集中在深圳、广州和佛山；2)新能源通勤车辆类型存在显著的区域差异；例如，广州和佛山倾向于纯电动汽车通勤，而深圳则表现出不同的趋势。3)在新能源通勤车辆中，81.42%的出行发生在城市内部，主要集中在深圳、广州和佛山；而城际交通仅占18.58%，主要集中在深莞、惠州-深圳和佛山-广州之间。

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来源期刊

Applied Spatial Analysis and Policy Multiple-

CiteScore

3.80

自引率

5.30%

发文量

期刊介绍： Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management. FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist. Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.