Achieving resilience through smart cities? Evidence from China

Q Zhou, M Zhu, Y Qiao, X Zhang, J Chen - Habitat International, 2021 - Elsevier
Studies of the resilience of smart cities can provide new insights for the sustainable
development of cities, with important practical significance for improving their carrying …

Deep neural network utilizing remote sensing datasets for flood hazard susceptibility mapping in Brisbane, Australia

B Kalantar, N Ueda, V Saeidi, S Janizadeh, F Shabani… - Remote Sensing, 2021 - mdpi.com
Large damages and losses resulting from floods are widely reported across the globe. Thus,
the identification of the flood-prone zones on a flood susceptibility map is very essential. To …

GIScience and neighborhood change: Toward an understanding of processes of change

EC Delmelle - Transactions in GIS, 2022 - Wiley Online Library
Processes of neighborhood change are the result of the unfolding of events and decisions
by multiple actors operating at varying spatial and temporal scales, enabled and constrained …

One-year lesson: machine learning prediction of COVID-19 positive cases with meteorological data and mobility estimate in Japan

EA Rashed, A Hirata - … Journal of Environmental Research and Public …, 2021 - mdpi.com
With the wide spread of COVID-19 and the corresponding negative impact on different life
aspects, it becomes important to understand ways to deal with the pandemic as a part of …

Participatory development of planning support systems to improve empowerment and localization

H Pan, Y Kwak, B Deal - Journal of urban technology, 2022 - Taylor & Francis
We propose a participatory development process to address critiques of Planning Support
Systems (PSS) that focus on their shortcomings of the empowerment of stakeholders and the …

A spatial decision support system for multifunctional landscape assessment: a transformative resilience perspective for vulnerable inland areas

M Cerreta, S Panaro, G Poli - Sustainability, 2021 - mdpi.com
The concept of transformative resilience has emerged from the recent literature and
represents a way to interpret the potential opportunities for change in vulnerable territories …

How neighborhood conditions and policy incentives affect relocation outcomes of households from low-income neighborhoods—Evidence from intra-city movement …

T Yang, H Pan, X Zhang, A Greenlee, B Deal - Cities, 2021 - Elsevier
This paper examines residential mobility patterns of households living in low-income
neighborhoods, paying close attention to the neighborhood characteristics that influence …

How do high-speed rail projects affect the agglomeration in cities and regions?

H Pan, C Cong, X Zhang, Y Zhang - Transportation Research Part D …, 2020 - Elsevier
High-speed Rail (HSR) is expected to act as catalyst for urban system restructuring for
countries investing in HSR projects. This paper examines the research question regarding …

A critical review of social justice theories in public transit planning

SN Adli, S Chowdhury - Sustainability, 2021 - mdpi.com
One of the most common areas in public transit planning that has been under investigation
is the inclusion of “social justice”. In its simplest form, social justice demands more equitable …

Using big data for last mile performance evaluation: An accessibility-based approach

S Chen, X Yan, H Pan, B Deal - Travel behaviour and society, 2021 - Elsevier
Objective The 'last mile'of public transportation describes the final leg of a transit journey.
This paper brings an accessibility-based approach to last-mile performance evaluation at …