Simone Leão

ORCID: 0000-0002-2455-5508
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About
Contact & Profiles
Research Areas
  • Urban Transport and Accessibility
  • Land Use and Ecosystem Services
  • Human Mobility and Location-Based Analysis
  • Transportation Planning and Optimization
  • Geographic Information Systems Studies
  • Urban Design and Spatial Analysis
  • Noise Effects and Management
  • 3D Modeling in Geospatial Applications
  • Mobile Crowdsensing and Crowdsourcing
  • demographic modeling and climate adaptation
  • Housing Market and Economics
  • Transportation and Mobility Innovations
  • Municipal Solid Waste Management
  • Vehicle Noise and Vibration Control
  • Spatial and Panel Data Analysis
  • Flood Risk Assessment and Management
  • Sustainable Building Design and Assessment
  • Geography and Environmental Studies
  • Smart Cities and Technologies
  • Wind and Air Flow Studies
  • Soil Geostatistics and Mapping
  • Environmental and Social Impact Assessments
  • Hearing Loss and Rehabilitation
  • Urban and Freight Transport Logistics
  • Migration, Aging, and Tourism Studies

UNSW Sydney
2016-2023

University of Salford
2016

Deakin University
2011-2014

The University of Melbourne
2001-2004

Urbanization is one of the most evident global changes. Research in field urban growth modelling has generated models that explore for drivers and components dynamics. Cellular automata (CA) modeling recent advances, a number CA-based have produced satisfactory simulations spatial expansion over time. Most application test which provide likely reliable been developed regions nations; United States, particular. This because were universities research centers nations, these required data,...

10.1061/(asce)0733-9488(2004)130:3(145) article EN Journal of Urban Planning and Development 2004-08-17

In the digital era of big data, data analytics and smart cities, a new generation planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer novel system developed to help planners policy-makers determine likely land value uplift associated with provision city infrastructure. toolkit was following user-centred research approach including iterative design, prototyping evaluation. Tool development informed by user inputs obtained through series co-design workshops...

10.1177/2399808320924678 article EN Environment and Planning B Urban Analytics and City Science 2020-05-18

One of the challenges in creating plans for sustainable urban futures is ability to work across government agencies and break down traditional barriers truly collaborative planning. Typically, metropolitan planning has been carried out by different that are separate their mandate strategies. This siloed approach city means there problems coordination sequencing critical projects. To address this problem, we investigate use Steinitz geodesign framework GeodesignHub.com software supporting...

10.1177/2399808318812887 article EN Environment and Planning B Urban Analytics and City Science 2019-09-14

Mobile sensing uses features of mobile technology to monitor the environment and if a community participates in such monitoring, there can be improvements quality life. Despite numerous potential benefits, rate citizen engagement is generally low. Using urban project called “2Loud?,” this study was designed uncover reasons for non-participation discuss motivations intention participate. A survey administered citizens who had been invited participate but decided not Examining four...

10.1080/10630732.2016.1175824 article EN Journal of Urban Technology 2016-10-01

In an era of smart cities, artificial intelligence and machine learning, data is purported to be the ‘new oil’, fuelling increasingly complex analytics assisting us craft invent future cities. This paper outlines role what we know today as big in understanding city includes a summary its evolution. Through critical reflective case study approach, research examines application urban transport for informing planning Sydney. Specifically, card data, with diverse constraints, was used understand...

10.3390/su14031727 article EN Sustainability 2022-02-02

Extensive research has been conducted exploring associations between built environment characteristics and biking. However, these approaches have often lacked the ability to understand interactions of environment, population bicycle ridership. To overcome limitations, this study aimed develop novel urban biking typologies using unsupervised machine learning methods. We a retrospective analysis travel surveys, infrastructure land use in Greater Melbourne region, Australia. typology, we used...

10.1177/23998083221100827 article EN Environment and Planning B Urban Analytics and City Science 2022-05-19

Estimation of bicycling volumes is essential for the strategic implementation infrastructure and related transport elements policies. Link-level volume estimation models (models that estimate on individual street segments) allow understanding variation in across an entire network at higher spatial resolution than area-level models. Such assist planners to efficiently monitor usage, identify opportunities enhance safety evaluate impact policy interventions. However, given sparsity scarcity...

10.1080/01441647.2022.2147240 article EN Transport Reviews 2022-11-16

Abstract. Understanding the flows of people moving through built environment is a vital source information for planners and policy makers who shape our cities. Smart phone applications enable to trace themselves city these data can potentially be then aggregated visualised show hot spots trajectories macro urban movement. In this paper aim develop procedures cleaning, aggregating visualising human movement translating into relevant information. conducting research we explore using bicycle...

10.5194/isprs-annals-iii-2-173-2016 article EN cc-by ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2016-06-02

To realize the full potential of crowdsourced data collected by smartphone applications in urban research and planning, there is a need for parsimonious, reliable, computationally temporally efficient processing routines. The literature indicates that opportunities brought generating low-cost, bottom-up, fine spatial temporal scale data, are also accompanied issues related to quality, bias, privacy concerns low accessibility. Using an exemplar case RiderLog, GPS tracked bicycling this paper...

10.3390/urbansci1030023 article EN cc-by Urban Science 2017-06-28

Crowdsourced data hold great potential in creating metrics which can support city planning. Devices such as smartphones, with their sensor capabilities including GPS be used to capture a wealth of mobility at the scale individual trips. However, use crowdsourced for planning is still hindered by doubts about accuracy, objectivity and representativeness. This study proposes validation process five criteria – geographic coverage, origin-destination match, demographic distance–duration...

10.1080/19427867.2017.1401198 article EN Transportation Letters 2017-12-03

Bicycling can improve the sustainability and liveability of cities, many which desperately require better active transport infrastructure. Urban planners need to examine how improvements in infrastructure change bicyclists' behaviour. With this knowledge, investment bicycling networks be more efficient encourage use for transportation. This study developed a simple Agent-Based Model (ABM) simulate movements response built environment road network characteristics City Penrith, Greater Sydney...

10.1016/j.compenvurbsys.2023.102059 article EN cc-by Computers Environment and Urban Systems 2023-12-15

Abstract Geographer C. W. T hornthwaite proposed in 1948 a moisture index called M oisture I ndex ( TMI ) as part of water balance model for new classification system climate. The importance climatic has been recognised many areas knowledge and practice worldwide over the last 60 years. However, although past climate research was focused on developing adequate methods classification, current is more concerned with understanding patterns change. use an indicator change still incipient area...

10.1111/1745-5871.12072 article EN Geographical Research 2014-07-23

In the context of changing global trends and growing uncertainties, creating evaluating alternative future scenarios is crucial for urban regional planning. Computational collaborative approaches are two contemporary options scenario They have distinct roles often applied independently. This study investigates integration these approaches, addressing a knowledge gap by explicitly integrating Cellular Automata-based model within geodesign framework. It assesses process planning outcomes...

10.1016/j.jum.2023.07.002 article EN cc-by-nc-nd Journal of Urban Management 2023-09-02

Understanding the flows of people moving through built environment is a vital source information for planners and policy makers who shape our cities. Smart phone applications enable to trace themselves city these data can potentially be then aggregated visualised show hot spots trajectories macro urban movement. In this paper aim develop procedures cleaning, aggregating visualising human movement translating into relevant information. conducting research we explore using bicycle collected...

10.5194/isprsannals-iii-2-173-2016 article EN cc-by ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2016-06-02
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