Junqing Tang

• BEng. MSc. Dr.Sc
• Professor (Assistant) at Peking University

Population aging presents significant challenges to society. In transit-dependent cities, transit services are crucial in meeting older adults' travel needs and challenges. This study examines survey data from 928 older adults in Chengdu, China, between June and August 2023, to evaluate their satisfaction with three key transit services, including...

In the studies of climate change, the intensity, frequency, and duration of heatwave situations have escalated and are projected to continuously worsen in coming years, leading to detrimental effects on ecosystems, infrastructure, public health, and social life. To effectively mitigate the adverse effects of heatwaves and foster sustainable develop...

This study investigates the disparities in low-cost indoor and outdoor sensor coverage across US cities, that is, metropolitan statistical areas. Findings show that communities vulnerable to air pollution and urban heat islands often lack adequate sensor coverage, highlighting a critical mismatch between environmental needs and technological resour...

The Electric Vehicle (EV) market is experiencing unprecedented growth. Accurate prediction of EV charging demand is essential for transportation system operations, such as real-time traffic management, route optimization, and station utilization planning. However, Cyber threats can compromise the accuracy of charging demand predictions, leading to...

With the booming adoption of Electric Vehicles (EVs) globally, the need for reliable and resilient EV Charging Monitoring (EVCM) systems has become crucial. A major challenge in real-time EVCM is the handling of missing data caused by unexpected events, which can impair both real-time monitoring and its downstream applications. To address this vita...

Transportation decarbonization has drawn enormous attention globally, and two concepts play vital roles: transportation carbon emission (TCE) and transportation carbon footprint (TCF). However, their overlapping definitions and mixed uses in relevant literature have caused ambiguities and misunderstandings, resulting in a pressing need to clarify t...

The Luojia 1–01 (LJ1-01) night lighting satellite's superior spatial information capture capability provides conditions for accurate assessment of regional wealth distribution inequality (RWDI) at a small scale. This paper evaluated the wealth Gini coefficient (WGC) of 2,853 counties and 31 provinces in mainland China to establish a comprehensive p...

Climate change and urbanization have caused environmental problems to cities, making it critical to build a low-carbon, resilient, and sustainable urban environment. Green façade (GFA) is an important nature-based solution for implementation by exploring urban vertical space. GFA is often expected to meet versatile needs across different fields, bu...

Resilient post-disaster recovery is crucial for the long-term sustainable development of modern cities, and in this regard, predicting the unusual flows of human mobility when disasters hit, could offer insights into how emergency responses could be managed to cope with such unexpected shocks more efficiently. For years, many studies have been dedi...

Understanding post-hazard evacuation decisions poses challenges due to the complex interplay between individual behaviors and community influences. This study investigates the evacuation decisions made by residents from three counties of Ohio and Pennsylvania, correlating their choices with various sociodemographic and behavioral factors. By analyz...

Understanding the response of human mobility to disruptive weather events is beneficial for the development of urban risk mitigation and emergency response policies, thus enhancing urban resilience. Most human mobility studies relying on aggregate flow data inevitably neglect the heterogeneity of disaggregate travel patterns with distinctive spatio...

The impact of the built environment and weather conditions on travel behavior has been widely studied. However, limited studies have focused on better understanding such effects in medium-sized cities with bus-oriented transit systems, particularly from a separate perspective of travelers’ origins and destinations. We took Weinan, China, as a repre...

Unraveling the complex relationships between intercity travel mode choices and their determinants is valuable for transport planning and development. However, a better understanding of the key influential factors shaping passengers' comprehensive mode choices for intercity travel, as well as the interactive and nonlinear effect between these two, i...

The global pandemic of COVID-19 has been influencing people’s lives and the cities. Not only people’s physical and mental health have been threatened, but also the city operation has been profoundly affected from different perspectives (e.g., social and economic) permanently. How cities can efficiently react and response to improve city resilience...

Transportation accessibility has been treated as an important means of reducing the urban-rural income disparity. However, only a few studies have examined the effects of different types of transportation accessibility on urban-rural income disparity and their spatial heterogeneity. Based on data from 285 prefecture-level (and above) Chinese cities...

The escalating impacts of global climate change, marked by a surge in extreme weather events, underscore the imperative need to address the effects of this ongoing challenge. This study emphasizes the critical need to prioritize the reduction of social and environmental inequalities to enhance urban resilience. The adoption of nature-based solution...

Understanding heat‐related impacts is crucial to improving public awareness of addressing urban heat challenges and enabling decision makers to mainstream heat action plans. This study explores heat‐related physiological and psychological impacts, symptoms, and demographic determinants based on 4210 questionnaires across nine large Chinese cities,...

Since the proposal of the pioneering “resilience triangle” paradigm, various time-series performance-based metrics have been devised for resilience quantification. The numerous choices diversify the toolbox for measuring this compound system concept; however, this multiplicity causes intractable questions for applications, including “Do these metri...

Digital technologies and tools have been widely deployed in smart city initiatives to improve operations, resource allocation, and infrastructure management. Due to high complexity and diversity, however, numerous technologies have simultaneously created obstacles for practitioners when choosing appropriate tools for certain urban challenges. This...

Tibetan antelopes ( Pantholops hodgsonii ) migrate great distances to specific delivery and calving areas. In the current study, we investigated calving site selection and vigilance behaviour during delivery and nursing in migratory female Tibetan antelopes at Zonag Lake. According to observations and analysis, the females were distributed south of...

Leading digital innovation projects in smart cities requires the right human resources with the right set of competencies. Such requirement is challenging because city managers and built environment professionals are traditionally trained and work in disciplinary and professional silos. This results in a lack of knowledge, abilities, and tools to p...

Although many studies have examined social inequalities related to urban parks, there is limited knowledge about the social inequalities of urban park use during crises. By integrating a large amount of mobile phone data and e-commerce user data, this study tracked 81,350 anonymized individuals’ urban park use behavior in Shenzhen, China, from 2019...

Large-scale disasters can disproportionally impact different population groups, causing prominent disparity and inequality, especially for those vulnerable and marginalized ones. Here, we investigate the resilience of human mobility under the disturbance of the unprecedented “720” Zhengzhou flood in China in 2021 using 1.32 billion mobile phone sig...

The optimization of systemic redundancy by minimizing the sensor quantity can improve the efficiency of sensor networks and save costs. However, from the perspective of risk management, this redundancy reduction can also bring a significant loss in the overall network resilience because the less the systemic redundancy is, the fewer backup componen...

The Yellow River basin is an important area for China to implement ecological protection policies. Studying the habitat quality of the Yellow River floodplain area is of great significance to the ecological security and sustainable development of the entire basin. This study primarily investigated the spatial pattern of habitat quality in the Yello...

The frequent urban floods have seriously affected the regional sustainable development in recent years. It is significant to understand the characteristics of urban flood risk and reasonably predict urban flood risk under different land use scenarios. This study used the random forest and multi-criteria decision analysis models to assess the spatio...

Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of “how to dynamically judge the different thresholds of different indicators of PLES” plays an indispensable role in the studies of the mul...

Digitalisation in cities offers new opportunities and challenges for city planners and managers to re-shape their roles and create public value through responsible innovation. However, there is a lack of understanding of the competency requirements to foster leadership capacity for digital innovation with social coherence and responsibility. Based...

The ongoing COVID-19 pandemic has evolved beyond being a public health crisis as it has exerted worldwide severe economic impacts, triggering cascading failures in the global industrial network. Although certain powerful enterprises can remain its normal operation during this global shock, what's more likely to happen for the majority, especially t...

The travel mood perception can significantly affect passengers' mental health and their overall emotional wellbeing when taking transport services, especially in long-distance intercity travels. To explore the key factors influencing intercity travel moods, a field survey was conducted in Xi'an to collect passengers' individual habits, travel chara...

We comparatively examined tourist mobility changes in the entire country and explicitly covered two distinct waves of COVID-19 outbreaks, based on mobile phone data from 277.15 million tourists from 2019 to 2021 in China. The results show that domestic tourism in Beijing was even higher after the pandemic than prior to it. In addition, we found tha...

Road closure is an effective measure to reduce mobility and prevent the spread of an epidemic in severe public health crises. For instance, during the peak waves of the global COVID-19 pandemic, many countries implemented road closure policies, such as the traffic-calming strategy in the UK. However, it is still not clear how such road closures, if...

This paper presents a novel conceptualisation for how city-scale digital twins (CDTs) can be better understood through the social construction of technology (SCOT) lens. This is achieved by drawing inspiration from sociotechnical studies of CDTs, and specifically the SCOT approach. Following a discussion of the shortcomings of technocentrism and te...

The climate change issue has been striking and bringing pressure on all countries and industries. The responsibility of the Architecture, Engineering, Construction and Facility Management (AEC/FM) industry is heavy because it accounts for over one-third of global energy use and greenhouse gas emissions. At the same time, the development of digital...

Automatic Number Plate Recognition (ANPR) technology has been intensively engaged in managing the smartification and digitalization of cities in recent years as an effective tool for acquiring information about vehicle movements. As a traffic sensing technology, it has been popular across multiple scientific fields such as urban science, computer v...

When building new airports various strategies for initiating new air routes prominently affect the overall system performance. From a perspective of disruption management, however, very little is known regarding the impacts of different strategies exerted to the resilience of airline networks in a multi-layer system configuration. In this paper, we...

Cities continue to face significant challenges that test their capacity for resilience. With the development of smart cities, there needs to be a better understanding of how the introduction of smart technologies will affect urban resilience. To address this issue, this article presents a critical review of the literature on smart cities and smart...

There has been a lack of clear understanding of the characteristics and correlates of rural residents’ access to periodic markets. This study contributes to the new evidence for this by using data from face-to-face interviews with 4777 rural residents from 276 villages across China. The results show that village terrain is substantially associated...

Digital technologies and tools have brought novel opportunities and challenges to the built environment and have profoundly shaped the way we design, manage, and make decisions [1,2]. Built environment professionals and organisations are inevitably facing increasing challenges when embracing digital transformation. Among them, one salient challenge...

The paper investigates the non-commuting travel demand of car commuters using Automatic Number Plate Recognition (ANPR) trip chain data in Cambridge, UK. A novel rule-based algorithm is developed for identifying commuting vehicles and the associated non-commuting trips. Identification results are validated with external data. Non-commuting travel d...

This paper studies the resilient performance of urban rail transit systems by extending a linear programming optimization model, which can provide optimized commuter flows with contingency routing under multiple disruptions. The rail transit systems in Singapore and Chongqing (China) are selected as case studies, and the system resilience and the e...

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on systemic thinking and taking a sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin,...

Regulations play an important role in assuring the quality of a building’s construction and minimizing its adverse environmental impacts. Engineers and the like need to retrieve regulatory information to ensure a building conforms to specified standards. Despite the availability of search engines and digital databases that can be used to store regu...

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on systemic thinking and taking a sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin,...

We evaluate the bird-train collision risk associated with a recent high-speed railway project for the crested ibis (Nipponia nippon) and other local bird species in the Qinling Mountains, China. Using ground-walked line transect surveys, we surveyed the population abundance, distance to the railway bridge, and bridge-crossing behaviors of the birds...

In this paper, the complex network theory is used to establish the model of ATC sector network. Then, a series of characteristic parameters are defined to perform an empirical analysis on China’s air sector network(CSN). In addition, the vulnerability of CSN is defined and analyzed by using the maximum connected subgraph relative value, network eff...

In this paper, we explore a novel approach for identifying critical congestion hotspots based on network analysis using the Automatic Number Plate Recognition (ANPR) data in Cambridge, UK. We transform the camera surveillance data into undirected and weighted travel networks and discuss the smart placement of camera sensors based on this case study...

Spatial development plans that include the civic engagement both in the decision-making and execution processes have started to be used by a growing number of local governments around the Europe. Despite their mostly integrated nature (meaning integrating diverse urban matters at once) and openness of open dialog with city stakeholders, many of the...

This paper investigates influential factors in passengers' intercity multimodal choice behaviors in a touristy city. By collecting large individual-level data through a comprehensive field survey that was carried out at the major transportation hubs in Xi'an, China, we studied four travel modes of the surveyed travelers in this touristy city, inclu...

Sustainability and its component resilience have become an important issue that cannot be neglected in airspace planning and development. Resilience, as an emerging system concept, is critical to sustainability in many fields. With the rapidly growing demand in China’s air transportation sector, airspace congestion and flight delays have become a m...

Vehicle mobility generates dynamic and complex patterns that are associated with our day-to-day activities in cities. To reveal the spatial–temporal complexity of such patterns, digital techniques, such as traffic-monitoring sensors, provide promising data-driven tools for city managers and urban planners. Although a large number of studies have be...

Recently, greater research attention has focused on the application of solar power generation technology in building construction to reduce building energy consumption and encourage increased sustainable development. An emerging solar power generation technology is in the use of Building-integrated Photovoltaics (BIPVs), where photovoltaic material...

This paper reports on the design of wildlife crossing structures (WCSs) along a new expressway in China, which exemplifies the country’s increasing efforts on wildlife protection in infrastructure projects. The line and belt transect method, the surface water survey, and the sign-tracking investigation were used to determine the target species in t...

This paper investigates the influencing factors in passengers' multimodal traffic choice behaviors and provides a decision-making basis and improvement strategies. By collecting large individual-level data through a comprehensive field survey that was carried out at the major transportation hubs in Xian City in China from the 1st to the 10th of Mar...

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation infrastructure. Based on systemic thinkings and sustainability perspectives, we investigate the long-term resilience of the road transportation systems in four cities of China from 1998 to 2017, namely Beijing, Tianjin,...

Bird collisions with high-speed transport modes is a vital topic on vehicle safety and wildlife protection, especially when high-speed trains, with an average speed of 250km/h, have to run across the habitat of an endangered bird species. This paper evaluates the bird-train collision risk associated with a recent high-speed railway project in Qinli...

We proposed a Bayesian network model (BNM) based on function-oriented resilience framework and ontological interdependence among 10 system qualities to probabilistically assess the general resilience of the road transportation system in Beijing from 1997 to 2016. We tested the model with multi-source data collected from various sectors. The system...

Despite controversy over the exact definition of resilience, this term is normally used to describe the ability of a system to prepare and plan for, absorb, recover from, or more successfully adapt to actual or potential adverse events (National Resource Council 2012). Assessments of resilience apply appropriate methodologies to measure, evaluate,...

Financial markets can be seen as complex systems that are constantly evolving and sensitive to external disturbance, such as financial risks and economic instabilities. Analysis of resilient market performance, therefore, becomes useful for investors. From a systems perspective, this paper proposes a novel function-based resilience metric that cons...

This paper reports on the design of wildlife crossing structures (WCSs) along a new expressway in China, which exemplifies the country's increasing efforts on wildlife protection in infrastructure projects. The expert knowledge and field surveys were used to determine the target species in the study area and the quantity, locations, size, and type...

We proposed a Bayesian Network Model (BNM) based on function-oriented resilience framework and ontological interdependence among 10 system qualities to probabilistically assess the general resilience of the road transportation system in Beijing from 1997 to 2016. We tested the model with multi-source data collected from various sectors. The system...

Financial markets can be seen as complex systems that are constantly evolving and sensitive to external disturbance, such as systemic risks and economic instabilities. Analysis of resilient market performance, therefore, becomes useful for investors. From a systems perspective, this paper proposes a novel function-based resilience metric that consi...

Determining the appropriate locations of the Wildlife Crossing Structures (WCS) is always a vital problem in road ecology studies. It is particularly tricky when no monitoring data or limited information are available beforehand. This paper reports on a series of field investigations for designing WCS in a section of one Chinese National Highway pr...

Abstract This paper examines the dynamic evolutionary process in the London Stock Exchange and uses network statistical measures to model the resilience of stock. A large historical dataset of companies was collected over 40 years (1977-2017) and conceptualised into weighted, temporally evolving and signed networks using correlation-based interdepe...

A discrete-time tracking differentiator (TD) based on a time criterion is presented. Its control law is derived by comparing the time that the initial state is driven to the switching curve or the origin with the sampling period. The advantages of this TD include faster signal-tracking, better noise filtering and derivative extraction. Simulation r...

Traffic congestion brings not only delay and inconvenience, but other associated national concerns, such as greenhouse gases, air pollutants, road safety issues and risks. Identification, measurement, tracking, and control of urban recurrent congestion are vital for building a livable and smart community. A considerable amount of works has made con...

Pseudocode for ϵ−filtering algorithm. (PDF)

This paper examines the dynamic evolution process in London stock exchange and attempts to model stock survivability resilience in the financial networks. A big historical dataset of UK companies from London stock exchange for 40 years (1976–2016) was collected and conceptualized into weighted, temporally evolving and signed networks using correlat...

Mobile sensing enabled by GPS or smart phones has become an increasingly important source of traffic data. For sufficient coverage of the traffic stream, it is important to maintain a reasonable penetration rate of probe vehicles. From the standpoint of capturing higher-order traffic quantities such as acceleration/deceleration, emission and fuel c...