This page has only limited features, please log in for full access.

Unclaimed
Jie Huang
Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 26 July 2021 in Journal of Transport Geography
Reads 0
Downloads 0

Many studies have explored the effects of transportation and population movement on the spread of pandemics. However, little attention has been paid to the dynamic impact of pandemics on intercity travel and its recovery during a public health event period. Using intercity mobility and COVID-19 pandemic data, this study adopts the gradient boosting decision tree method to explore the dynamic effects of the COVID-19 on intercity travel in China. The influencing factors were classified into daily time-varying factors and time-invariant factors. The results show that China's intercity travel decreased on average by 51.35% from Jan 26 to Apr 7, 2020. Furtherly, the COVID-19 pandemic reduces intercity travel directly and indirectly by influencing industry development and transport connectivity. With the spread of COVID-19 and changes of control measures, the relationship between intercity travel and COVID-19, socio-economic development, transport is not linear. The relationship between intercity travel and secondary industry is illustrated by an inverted U-shaped curve from pre-pandemic to post-pandemic, whereas that with tertiary industry can be explained by a U-shaped curve. Meanwhile, this study highlights the dynamic effect of the COVID-19 on intercity mobility. These implications shed light on policies regarding the control measures during public health events that should include the dynamic impact of pandemics on intercity travel.

ACS Style

Tao Li; Jiaoe Wang; Jie Huang; Wenyue Yang; Zhuo Chen. Exploring the dynamic impacts of COVID-19 on intercity travel in China. Journal of Transport Geography 2021, 95, 103153 .

AMA Style

Tao Li, Jiaoe Wang, Jie Huang, Wenyue Yang, Zhuo Chen. Exploring the dynamic impacts of COVID-19 on intercity travel in China. Journal of Transport Geography. 2021; 95 ():103153.

Chicago/Turabian Style

Tao Li; Jiaoe Wang; Jie Huang; Wenyue Yang; Zhuo Chen. 2021. "Exploring the dynamic impacts of COVID-19 on intercity travel in China." Journal of Transport Geography 95, no. : 103153.

Research article
Published: 10 July 2020 in Environment and Planning B: Urban Analytics and City Science
Reads 0
Downloads 0

The jobs–housing balance and urban spatial structure are naturally connected, and understanding the connection is important for urban planning, geography, and transport studies. Using smartcard data in Beijing and Shanghai, this research employs a comparative approach to reveal spatial distribution patterns of jobs–housing balance in terms of transit commuters and derive the implied urban spatial structures for the two megacities in China. Results suggested that (1) the overall job–resident ratios estimated with smartcard data were 1.97 and 2.47 in Shanghai and Beijing, respectively; (2) compared to Beijing, Shanghai had greater intermixing of jobs and housing; (3) Beijing’s urban form followed a concentric spatial structure, whereas Shanghai followed a quasi-sector configuration. These findings show that the job–resident ratio can be used as an indicator to capture land-use patterns or functional zones, which is useful for urban planning and transit network design.

ACS Style

Jie Huang; Yujie Hu; Jiaoe Wang; Xiang Li. A tale of two cities: Jobs–housing balance and urban spatial structures from the perspective of transit commuters. Environment and Planning B: Urban Analytics and City Science 2020, 1 .

AMA Style

Jie Huang, Yujie Hu, Jiaoe Wang, Xiang Li. A tale of two cities: Jobs–housing balance and urban spatial structures from the perspective of transit commuters. Environment and Planning B: Urban Analytics and City Science. 2020; ():1.

Chicago/Turabian Style

Jie Huang; Yujie Hu; Jiaoe Wang; Xiang Li. 2020. "A tale of two cities: Jobs–housing balance and urban spatial structures from the perspective of transit commuters." Environment and Planning B: Urban Analytics and City Science , no. : 1.

Journal article
Published: 23 January 2020 in Transportation Research Part A: Policy and Practice
Reads 0
Downloads 0

Scheduling strategies are important to improve network efficiency and optimize time slots for both high-speed train (HST) and air travel. Although many scholars have studied HST and air travel competition from the perspectives of the spatial patterns and travel costs of the two transportation modes, few studies have investigated their potential temporal competition. To fill this research gap, this paper uses a time window method to examine the relationship between HSTs and flights operating between city-pairs. From the perspective of departure time, an analysis was conducted in the overlapping network of HSTs and flights at the city-pair level in China, based on one-day schedules. The results show that (1) HSTs and flights were temporally scheduled differently according to their within-day dynamics, and (2) HSTs and flights experienced fierce competition from 7 am to 9 am on average. Furthermore, the proposed classification method identifies city-pairs in a single-mode dominant market, full competition market, partial competition market, and complementary coordination market. Spatially, 24 city-pairs operating 343 flights with 533 train competitors in one day formed the full competition market with high-frequency schedules, including such city-pairs as Beijing-Shanghai, Guangzhou-Shanghai, and Shanghai-Xi’an. The method to classify city-pairs according to the similarity and diversity of HST and flight schedules may be generalized for allocating time slots for two modes. This work may help to schedule HSTs and flights in future transportation management.

ACS Style

Jiaoe Wang; Jie Huang; Yue Jing. Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective. Transportation Research Part A: Policy and Practice 2020, 133, 62 -78.

AMA Style

Jiaoe Wang, Jie Huang, Yue Jing. Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective. Transportation Research Part A: Policy and Practice. 2020; 133 ():62-78.

Chicago/Turabian Style

Jiaoe Wang; Jie Huang; Yue Jing. 2020. "Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective." Transportation Research Part A: Policy and Practice 133, no. : 62-78.

Articles
Published: 01 January 2020 in Regional Studies, Regional Science
Reads 0
Downloads 0

In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute mode preference by taxi at a fine resolution in Beijing. This work indicates how the preference for taxis can be seen in the north-east of the inner city, but not around employment centres. Equally, a complementary relationship is found between a preference for taxis and public transit that provides useful insights into modal choice at an intra-urban scale. These findings are useful in urban planning and transport management.

ACS Style

Jiaoe Wang; Jie Huang; Fangye Du. Estimating spatial patterns of commute mode preference in Beijing. Regional Studies, Regional Science 2020, 7, 382 -386.

AMA Style

Jiaoe Wang, Jie Huang, Fangye Du. Estimating spatial patterns of commute mode preference in Beijing. Regional Studies, Regional Science. 2020; 7 (1):382-386.

Chicago/Turabian Style

Jiaoe Wang; Jie Huang; Fangye Du. 2020. "Estimating spatial patterns of commute mode preference in Beijing." Regional Studies, Regional Science 7, no. 1: 382-386.

Journal article
Published: 18 December 2019 in Journal of Transport Geography
Reads 0
Downloads 0

High-speed train (HST) and inter-city coach (ICC) have been two important ground transportation modes for travelling between cities in China. They influence inter-city connections significantly. This study uses HST's and ICC's timetable data to construct networks; evaluates city centrality and city-pair connectivity to compare the hierarchical structures. The results show that the HST network shows linear distribution characteristics while ICC network presents regional “core-periphery” structure. Provincial administrative boundaries have an obvious constraint on the ICC network, while the HST community structure follows the railway lines' distribution. Finally, this study illustrates the spatial organization model and gives implications for regional transportation planning.

ACS Style

Jiaoe Wang; Delin Du; Jie Huang. Inter-city connections in China: High-speed train vs. inter-city coach. Journal of Transport Geography 2019, 82, 102619 .

AMA Style

Jiaoe Wang, Delin Du, Jie Huang. Inter-city connections in China: High-speed train vs. inter-city coach. Journal of Transport Geography. 2019; 82 ():102619.

Chicago/Turabian Style

Jiaoe Wang; Delin Du; Jie Huang. 2019. "Inter-city connections in China: High-speed train vs. inter-city coach." Journal of Transport Geography 82, no. : 102619.

Journal article
Published: 31 August 2019 in Journal of Transport Geography
Reads 0
Downloads 0

This study investigates the circuity of China's high-speed-rail (HSR) network from 2014 to 2016 and analyzes the network performance. The concept of circuity has been redefined in terms of travel time so that various speed levels of HSR lines can be measured systematically. In this study, circuity is redefined as the ratio of actual travel time to ideal travel time. By using actual HSR trip records, the influence of passenger demand and the circuity of transfer trips have been examined. At the node level, we find that the circuity of principal stations has significantly decreased overall. For stations with lower circuity, transfer trips from/to them tend to be more circuitous. Although stations along the intercity rail lines show higher circuity, they contribute to regional coverage and connectivity. Finally, we find that circuity tends to increase with a decreasing passenger flow for OD pairs within a certain distance range, and the passenger flow may decline as the OD distance increases.

ACS Style

Xinlei Hu; Jie Huang; Feng Shi. Circuity in China's high-speed-rail network. Journal of Transport Geography 2019, 80, 102504 .

AMA Style

Xinlei Hu, Jie Huang, Feng Shi. Circuity in China's high-speed-rail network. Journal of Transport Geography. 2019; 80 ():102504.

Chicago/Turabian Style

Xinlei Hu; Jie Huang; Feng Shi. 2019. "Circuity in China's high-speed-rail network." Journal of Transport Geography 80, no. : 102504.

Journal article
Published: 13 March 2019 in Sustainability
Reads 0
Downloads 0

Cycling is known to be environmentally friendly and beneficial to public health and sustainable urban development. Cycling has recently increased in Chinese cities as a result of the emergence of station-less bike-sharing systems. This study examines the emergence, rapid growth and consolidation of station-less bike-sharing systems and the role of suppliers, users and government regulators. It shows that these systems developed unevenly, growing most in large cities in eastern and south-eastern China, and explores the relationship between this spatial distribution and the nature of the service and the socio-economic characteristics of cities. To investigate patterns of, and reasons for, the use of these systems, this research also reports the results of a survey of users and non-users, identifying their gender, age, income characteristics and attitudes to station-less systems.

ACS Style

Jiaoe Wang; Jie Huang; Michael Dunford. Rethinking the Utility of Public Bicycles: The Development and Challenges of Station-Less Bike Sharing in China. Sustainability 2019, 11, 1539 .

AMA Style

Jiaoe Wang, Jie Huang, Michael Dunford. Rethinking the Utility of Public Bicycles: The Development and Challenges of Station-Less Bike Sharing in China. Sustainability. 2019; 11 (6):1539.

Chicago/Turabian Style

Jiaoe Wang; Jie Huang; Michael Dunford. 2019. "Rethinking the Utility of Public Bicycles: The Development and Challenges of Station-Less Bike Sharing in China." Sustainability 11, no. 6: 1539.

Journal article
Published: 01 March 2019 in Cities
Reads 0
Downloads 0
ACS Style

Jie Huang; David Levinson; Jiaoe Wang; Haitao Jin. Job-worker spatial dynamics in Beijing: Insights from Smart Card Data. Cities 2019, 86, 83 -93.

AMA Style

Jie Huang, David Levinson, Jiaoe Wang, Haitao Jin. Job-worker spatial dynamics in Beijing: Insights from Smart Card Data. Cities. 2019; 86 ():83-93.

Chicago/Turabian Style

Jie Huang; David Levinson; Jiaoe Wang; Haitao Jin. 2019. "Job-worker spatial dynamics in Beijing: Insights from Smart Card Data." Cities 86, no. : 83-93.

Journal article
Published: 19 November 2018 in Proceedings of the National Academy of Sciences
Reads 0
Downloads 0

Residential locations, the jobs–housing relationship, and commuting patterns are key elements to understand urban spatial structure and how city dwellers live. Their successive interaction is important for various fields including urban planning, transport, intraurban migration studies, and social science. However, understanding of the long-term trajectories of workplace and home location, and the resulting commuting patterns, is still limited due to lack of year-to-year data tracking individual behavior. With a 7-y transit smartcard dataset, this paper traces individual trajectories of residences and workplaces. Based on in-metro travel times before and after job and/or home moves, we find that 45 min is an inflection point where the behavioral preference changes. Commuters whose travel time exceeds the point prefer to shorten commutes via moves, while others with shorter commutes tend to increase travel time for better jobs and/or residences. Moreover, we capture four mobility groups: home mover, job hopper, job-and-residence switcher, and stayer. This paper studies how these groups trade off travel time and housing expenditure with their job and housing patterns. Stayers with high job and housing stability tend to be home (apartment unit) owners subject to middle- to high-income groups. Home movers work at places similar to stayers, while they may upgrade from tenancy to ownership. Switchers increase commute time as well as housing expenditure via job and home moves, as they pay for better residences and work farther from home. Job hoppers mainly reside in the suburbs, suffer from long commutes, change jobs frequently, and are likely to be low-income migrants.

ACS Style

Jie Huang; David Levinson; Jiaoe Wang; Jiangping Zhou; Zi-Jia Wang. Tracking job and housing dynamics with smartcard data. Proceedings of the National Academy of Sciences 2018, 115, 12710 -12715.

AMA Style

Jie Huang, David Levinson, Jiaoe Wang, Jiangping Zhou, Zi-Jia Wang. Tracking job and housing dynamics with smartcard data. Proceedings of the National Academy of Sciences. 2018; 115 (50):12710-12715.

Chicago/Turabian Style

Jie Huang; David Levinson; Jiaoe Wang; Jiangping Zhou; Zi-Jia Wang. 2018. "Tracking job and housing dynamics with smartcard data." Proceedings of the National Academy of Sciences 115, no. 50: 12710-12715.

Journal article
Published: 01 October 2017 in Journal of Air Transport Management
Reads 0
Downloads 0
ACS Style

Jie Huang; Jiaoe Wang. A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015. Journal of Air Transport Management 2017, 65, 29 -39.

AMA Style

Jie Huang, Jiaoe Wang. A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015. Journal of Air Transport Management. 2017; 65 ():29-39.

Chicago/Turabian Style

Jie Huang; Jiaoe Wang. 2017. "A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015." Journal of Air Transport Management 65, no. : 29-39.

Journal article
Published: 01 July 2017 in Journal of Transportation Engineering, Part A: Systems
Reads 0
Downloads 0
ACS Style

Chao Lu; Jie Huang; Lianbo Deng; Jianwei Gong. Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning. Journal of Transportation Engineering, Part A: Systems 2017, 143, 04017028 .

AMA Style

Chao Lu, Jie Huang, Lianbo Deng, Jianwei Gong. Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning. Journal of Transportation Engineering, Part A: Systems. 2017; 143 (7):04017028.

Chicago/Turabian Style

Chao Lu; Jie Huang; Lianbo Deng; Jianwei Gong. 2017. "Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning." Journal of Transportation Engineering, Part A: Systems 143, no. 7: 04017028.

Articles
Published: 14 December 2016 in Transportation Planning and Technology
Reads 0
Downloads 0

This paper presents the design and evaluation process of a self-learning system for local ramp metering control. This system is developed on the basis of reinforcement learning (RL) and can deal with the problem of on-ramp queue management through a continuous learning process. A general framework of the system design including the definition of RL elements and an algorithm that can accomplish the learning process is proposed. Simulation tests are carried out to evaluate the performance of the new system. In terms of the total time spent by road users, the new system can achieve a 30% reduction from the situation of no control, a result which is competitive with the widely accepted algorithm ALINEA. Meanwhile, simulation results show that the new system can keep on-ramp queues strictly under a series of pre-specified constraints, which proves its capability of managing on-ramp queues.

ACS Style

Chao Lu; Jie Huang. A self-learning system for local ramp metering with queue management. Transportation Planning and Technology 2016, 40, 182 -198.

AMA Style

Chao Lu, Jie Huang. A self-learning system for local ramp metering with queue management. Transportation Planning and Technology. 2016; 40 (2):182-198.

Chicago/Turabian Style

Chao Lu; Jie Huang. 2016. "A self-learning system for local ramp metering with queue management." Transportation Planning and Technology 40, no. 2: 182-198.

Journal article
Published: 01 October 2015 in Journal of Transport Geography
Reads 0
Downloads 0

This paper investigates the circuity of transit networks and examines auto mode share as a function of circuity and accessibility to better understand the performance of urban transit systems. We first survey transit circuity in the Minneapolis–St. Paul, Minnesota, region in detail, comparing auto and transit trips. This paper finds that circuity can help to explain mode choices of commuters. We then investigate thirty-five additional metropolitan areas in the United States. The results from these areas show that transit circuity exponentially declines as travel time increases. Moreover, we find that the circuity of transit networks is higher than that of road networks, illustrating how transit systems choose to expand their spatial coverage at the expense of directness and efficiency in public transportation networks. This paper performs a regression analysis that suggests the circuity of transportation networks can estimate transit accessibility, which helps to explain mode share.

ACS Style

Jie Huang; David Levinson. Circuity in urban transit networks. Journal of Transport Geography 2015, 48, 145 -153.

AMA Style

Jie Huang, David Levinson. Circuity in urban transit networks. Journal of Transport Geography. 2015; 48 ():145-153.

Chicago/Turabian Style

Jie Huang; David Levinson. 2015. "Circuity in urban transit networks." Journal of Transport Geography 48, no. : 145-153.

Journal article
Published: 01 January 2014 in Transportation Research Record: Journal of the Transportation Research Board
Reads 0
Downloads 0

Scaling relationships have been observed across urban systems and appear to reveal global emergent properties that may help to characterize, understand, and predict urban growth. Empirical urban studies that show scaling laws relating the growth in population to that of the transportation network warrant theoretical investigation. Such scaling phenomena are considered in the context of a linear monocentric city. Commuters are distributed from the city boundary to the common destination (the central business district), and two modes (railway and car) are available along the corridor. Two scenarios of urban growth are considered: vertical and horizontal. Road capacity and corridor length both increase alongside the population growth. Within these scenarios, growth is constrained to follow a scaling law and the evolution of network performance is examined. The results suggest that different long-term evolution trajectories may exist depending on the scaling-law and network features. On this basis, theoretical limits need to be investigated on the possible evolutionary pathways for a city whose growth is dependent on its transport system.

ACS Style

Jie Huang; Richard D. Connors; Mike J. Maher. Modeling Network Growth with Scaling Laws in a Linear Monocentric City. Transportation Research Record: Journal of the Transportation Research Board 2014, 2466, 134 -143.

AMA Style

Jie Huang, Richard D. Connors, Mike J. Maher. Modeling Network Growth with Scaling Laws in a Linear Monocentric City. Transportation Research Record: Journal of the Transportation Research Board. 2014; 2466 (1):134-143.

Chicago/Turabian Style

Jie Huang; Richard D. Connors; Mike J. Maher. 2014. "Modeling Network Growth with Scaling Laws in a Linear Monocentric City." Transportation Research Record: Journal of the Transportation Research Board 2466, no. 1: 134-143.