Simone Leão
Biographic Data
| ID | 6477471 |
|---|---|
| NAME | Simone Leão |
| GIVEN NAMES | Simone |
| FAMILY NAME | Leão |
| SIGNATURE | LEAO S |
| AFFILIATIONS | UNSW Sydney |
| ORCID | 0000-0002-2455-5508 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Clarifying bicycling accessibility
There is considerable inconsistency in conceptual and empirical approaches to cycling accessibility assessment. As a consequence, prior research results are largely incomparable. This causes confusion and dilutes the impact of cycling research at a time when a shift toward active transport is paramount. At this stage, researchers and practitioners need conceptual and empirical clarity, as well as methodological convergence and standardization. Th…
A simple agent-based model for planning for bicycling
Bicycling can improve the sustainability and liveability of cities, many of which desperately require better active transport infrastructure. Urban and transport planners need to examine how improvements in infrastructure change bicyclists' behaviour. With this knowledge, investment in bicycling networks can be more efficient and encourage the use of bicycling for transportation. This study developed a simple Agent-Based Model (ABM) to simulate b…
Developing urban biking typologies
Extensive research has been conducted exploring associations between built environment characteristics and biking. However, these approaches have often lacked the ability to understand the interactions of the built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods. We conducted a retrospective analysis of travel survey…
A rapid analytics tool to map the effect of rezoning on property values
Assessing geographical representativeness of crowdsourced urban mobility data
In an era of data-driven smart cities, the possibility of using crowdsourced big data to support evidence-based planning and decision-making remains a challenge. Along with the increased availability and potential utility of crowdsourced data, there is a clear need to assess the validity of these data in order to determine their appropriate use for planning and management. Moreover, with growth and rapid urbanization in many cities, there are inc…
A new toolkit for land value analysis and scenario planning
In the digital era of big data, data analytics and smart cities, a new generation of planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel planning support system developed to help planners and policy-makers determine the likely land value uplift associated with the provision of new city infrastructure. The Rapid Analytics Interactive Scenario Explorer toolkit was developed following a user-centred res…
Breaking down the silos through geodesign – Envisioning Sydney’s urban future
One of the challenges in creating plans for sustainable urban futures is the ability to work across government agencies and to break down traditional barriers to truly collaborative planning. Typically, metropolitan planning has been carried out by different agencies that are separate in their mandate and planning strategies. This siloed approach to city planning means there are problems in the coordination and sequencing of critical projects. To…
Building a National-Longitudinal Geospatial Bicycling Data Collection from Crowdsourcing
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 and temporally efficient data processing routines. The literature indicates that the opportunities brought by crowdsourced data in generating low-cost, bottom-up, and fine spatial and temporal scale data, are also accompanied by issues related to data quality, bias, pri…
Factors Motivating Citizen Engagement in Mobile Sensing
Mobile sensing uses features of mobile technology to monitor the environment and if a community participates in such monitoring, there can be community improvements in the quality of life. Despite the numerous potential benefits, the rate of citizen engagement in mobile sensing is generally low. Using the urban sensing project called “2Loud?,” this study was designed to uncover the reasons for non-participation and to discuss the motivations for …
Mapping 100 Years of Thornthwaite Moisture Index
Geographer C. W. T hornthwaite proposed in 1948 a moisture index called T hornthwaite M oisture I ndex ( TMI ) as part of a water balance model for a new classification system for climate. The importance of TMI climatic classification has been recognised in many areas of knowledge and practice worldwide over the last 60 years. However, although past climate research was focused on developing adequate methods for climate classification, current re…
No prominent works on this page.
Mapping 100 Years of Thornthwaite Moisture Index
Geographer C. W. T hornthwaite proposed in 1948 a moisture index called T hornthwaite M oisture I ndex ( TMI ) as part of a water balance model for a new classification system for climate. The importance of TMI climatic classification has been recognised in many areas of knowledge and practice worldwide over the last 60 years. However, although past climate research was focused on developing adequate methods for climate classification, current re…
Factors Motivating Citizen Engagement in Mobile Sensing
Mobile sensing uses features of mobile technology to monitor the environment and if a community participates in such monitoring, there can be community improvements in the quality of life. Despite the numerous potential benefits, the rate of citizen engagement in mobile sensing is generally low. Using the urban sensing project called “2Loud?,” this study was designed to uncover the reasons for non-participation and to discuss the motivations for …
Building a National-Longitudinal Geospatial Bicycling Data Collection from Crowdsourcing
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 and temporally efficient data processing routines. The literature indicates that the opportunities brought by crowdsourced data in generating low-cost, bottom-up, and fine spatial and temporal scale data, are also accompanied by issues related to data quality, bias, pri…
Breaking down the silos through geodesign – Envisioning Sydney’s urban future
One of the challenges in creating plans for sustainable urban futures is the ability to work across government agencies and to break down traditional barriers to truly collaborative planning. Typically, metropolitan planning has been carried out by different agencies that are separate in their mandate and planning strategies. This siloed approach to city planning means there are problems in the coordination and sequencing of critical projects. To…
A new toolkit for land value analysis and scenario planning
In the digital era of big data, data analytics and smart cities, a new generation of planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel planning support system developed to help planners and policy-makers determine the likely land value uplift associated with the provision of new city infrastructure. The Rapid Analytics Interactive Scenario Explorer toolkit was developed following a user-centred res…
A rapid analytics tool to map the effect of rezoning on property values
Assessing geographical representativeness of crowdsourced urban mobility data
In an era of data-driven smart cities, the possibility of using crowdsourced big data to support evidence-based planning and decision-making remains a challenge. Along with the increased availability and potential utility of crowdsourced data, there is a clear need to assess the validity of these data in order to determine their appropriate use for planning and management. Moreover, with growth and rapid urbanization in many cities, there are inc…
Developing urban biking typologies
Extensive research has been conducted exploring associations between built environment characteristics and biking. However, these approaches have often lacked the ability to understand the interactions of the built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods. We conducted a retrospective analysis of travel survey…
A simple agent-based model for planning for bicycling
Bicycling can improve the sustainability and liveability of cities, many of which desperately require better active transport infrastructure. Urban and transport planners need to examine how improvements in infrastructure change bicyclists' behaviour. With this knowledge, investment in bicycling networks can be more efficient and encourage the use of bicycling for transportation. This study developed a simple Agent-Based Model (ABM) to simulate b…
Clarifying bicycling accessibility
There is considerable inconsistency in conceptual and empirical approaches to cycling accessibility assessment. As a consequence, prior research results are largely incomparable. This causes confusion and dilutes the impact of cycling research at a time when a shift toward active transport is paramount. At this stage, researchers and practitioners need conceptual and empirical clarity, as well as methodological convergence and standardization. Th…
Computer Science (9 works) · Engineering (6 works) · Geography (6 works) · Civil engineering (5 works) · Urban Transport and Accessibility (5 works) · Data science (4 works) · Business (3 works) · Human Mobility and Location-Based Analysis (3 works) · Land use (3 works) · Transportation Planning and Optimization (3 works)