Pengjun Zhao

Dr. Pengjun Zhao


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2010 in Environment and Planning A: Economy and Space
Verified
Journal Article
Closed access
PZPengjun Zhao
Pengjun Zhao
BLBin Lü
Bin Lü
GRGert de Roo
Gert de Roo
A key issue in the development of China's growing megacities in the transport-related environmental costs due to rapid urban expansion. In light of this issue, the authors examine the impact of urban form on commuting patterns on the city fringe of Beijing. Based on household-survey data, the results of the analysis suggest that the forms of land use adopted in the suburbs have a significant impact on commuting distance when a worker's socioeconomic characteristics and the level of transport accessibility are taken into account. Sprawling expansion, characterized by a low degree of self-contained development and low-density land use, tends to increase the need for long-distance commuting to the central urban area. In contrast, compact urban development in the suburbs, particularly in the peripheral constellations of Beijing, would reduce the probability of long-distance commuting. The current trend in improving transport accessibility on the city fringe is likely to lead to further long-distance commuting. In particular, huge road projects could cause more traffic congestion in the centre. The findings suggest that land-development management on the city fringe could have significant implications with respect to containing the dramatic costs to the environment entailed by transportation in the context of the rapid process of motorization. Reducing travel needs through the integration of land use and transport-infrastructure provision is likely to be the key to sustainable urban expansion.

10 August 2011 in Transportation Planning and Technology
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Journal Article
Closed access
PZPengjun Zhao
Pengjun Zhao
The links between urban form and travel behaviour have been widely studied in the field of travel demand management. However, the existing literature is dominated by case studies from the developed countries. A study of a city in a developing and industrialising country can add some fresh evidence to the debate on the impacts of urban form on travel patterns. Using household survey data from Beijing, this paper finds that aspects of urban form have significant effects on workers' car use and the duration of travel by car in journeys to work, while controlling for socio-economic factors and households’ preferences related to residential location. The sprawling patterns of land development play a negative role in reducing motorised commuting trips and shortening vehicle hours travelled in the current processes of rapid urban expansion and motorisation. Since urban sprawl is greatly influenced by growing market forces, the findings in this paper reveal the negative effects of regulation–liberation of land development management on travel behaviour modification.

23 July 2013 in Sustainability
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Journal Article
Open access
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PZPengjun Zhao
Pengjun Zhao
RCRalph Chapman
Ralph Chapman
EREdward Randal
Edward Randal
PHPhilippa Howden-Chapman
Philippa Howden-Chapman
The resilience of cities in response to natural disasters and long-term climate change has emerged as a focus of academic and policy attention. In particular, how to understand the interconnectedness of urban and natural systems is a key issue. This paper introduces an urban model that can be used to evaluate city resilience outcomes under different policy scenarios. The model is the Wellington Integrated Land Use-Transport-Environment Model (WILUTE). It considers the city (i.e., Wellington) as a complex system characterized by interactions between a variety of internal urban processes (social, economic and physical) and the natural environment. It is focused on exploring the dynamic relations between human activities (the geographic distribution of housing and employment, infrastructure layout, traffic flows and energy consumption), environmental effects (carbon emissions, influences on local natural and ecological systems) and potential natural disasters (e.g., inundation due to sea level rise and storm events) faced under different policy scenarios. The model gives insights that are potentially useful for policy to enhance the city’s resilience, by modelling outcomes, such as the potential for reduction in transportation energy use, and changes in the vulnerability of the city’s housing stock and transport system to sea level rise.