Page 76 - JCAU-6-2

Journal of Chinese
Architecture and Urbanism Stakeholder perspectives on BRTEMIP

methods primarily rely on manual inspection (Ozbay et The implementation plan launched at the 2021
al., 2009), basic data (Milne & Watling, 2019), and model Global Digital Economy Conference clearly defines the
systems (Lay, 2005), while the related parameters often overall requirements for urban digital transformation in
lack standardized criteria (Zito & Salvo, 2011), resulting in Beijing. These requirements are designed to position the
limitations in scope, missing values (Sharma et al., 2004), city as a national capital with a focus on constructing
an inability to comprehensively perceive critical aspects a secure and compliant digital economy. The process
of transportation dynamics (Beukers et al., 2012), and involves six key aspects, namely optimizing the urban
a lack of coordination (Du et al., 2022; Wachs, 1999). In structure, fostering international data hubs, incubating
recent years, there has been a growing trend toward the emerging digital industries, driving global technology
rapid development of urban digitalization (Hashem et innovation, enhancing digital governance using Chinese
al., 2016). Not only has significant progress been made context-specific solutions, and promoting international
at a technological level, but digitization is also having a cooperation within the digital economy. Beijing has set
profound impact on urban life, governance models, and goals and specific paths for the digital transformation
economic development (Bai et al., 2023). There is a growing of planning resources, leveraging its foundational and
awareness across all sectors of society of the significance of leading role in fine-grained urban management. These
digitalization in urban construction (Hashem et al., 2016), goals include the use of big data and advanced analytics
which is the main driving force for urban transformation for energy optimization and digital R&D tools to expand
and upgrading, and plays a key role in enhancing urban the scope of digital technology applications. It is within
competitiveness. It is an inevitable requirement for the this context that the Beijing Road Traffic Environmental
modernization of governance systems and capabilities in Monitoring Information Platform (BRTEMIP) has been
mega-cities (Van der Ploeg & Poellhekke, 2008), such as constructed. This platform integrates an information
Beijing. system with data from diverse sources to enable real-
time monitoring, data analysis, and predictions about
Currently, Beijing is actively developing its digital the urban transportation environment. It also facilitates
economy, primarily focusing on constructing a new the assessment and optimization of relevant policies and
digital landscape to ensure the secure and compliant measures. By integrating data from various sources, such
flow of data, facilitate orderly data sharing, and integrate as the composition of motor vehicle types and the level of
elements such as data infrastructure, digital transactions, traffic activity, and by refining current accounting methods
digital platforms, and other digital scenarios (Sun et al., and other technologies, the platform provides technical
2022; Hansen, 2019). The digital economy, characterized support for scenarios such as setting quantitative targets for
by billions of daily online connections of people, urban transport pollutants and evaluating the potential of
businesses, devices, data, and processes, comprises the different measures to reduce carbon emissions. In addition,
economic activity resulting from the widespread adoption it enables real-time collection, processing, analysis,
of information and communication technologies across and application of big data to save energy and reduce
all business sectors to boost productivity. Therefore, it is emissions within the transportation sector. The design of
essential to integrate digital transformation within the this platform is a crucial driver for the transformation of
transportation sector by leveraging traffic models and big the transportation industry. It enhances the accuracy and
data analytics technology to create a digital application efficiency of traditional traffic planning models, simplifies
platform for transport planning. This integration will operations, and leads to more effective decision-making in
establish a new model for incorporating the digital the context of urban transport planning.
industry within the transport sector. In the post-pandemic This paper aims to explore the design and
era, the digital economy has become a new focus and implementation of the BRTEMIP in-depth, providing a
breakthrough point for China’s economic growth (Wang comprehensive exploration of its overall framework, data
et al., 2022). The digital transformation of transportation collection and processing methods, and data sharing and
systems aligns with this growing trend, with current utilization. The objective is to offer insights and guidance for
efforts focusing on the digitization of construction. This the monitoring and management of urban transportation
digital transformation includes the utilization of smart environments. The significance of this research is threefold.
transportation systems and traffic operation management First, it presents effective methods for monitoring and
platforms designed to enhance urban transportation managing urban transportation environments. The design
operations. However, digital platforms intended to aid and implementation of the BRTEMIP exemplify a scientific,
decision-making in relation to urban transport planning accurate, and rapid approach to monitoring and managing
are still in the exploratory stage. urban transportation environments, offering a scientific

Volume 6 Issue 2 (2024) 2 https://doi.org/10.36922/jcau.2283