Tag: python

Delivering Healthy and Sustainable Cities

Post author By gboeing
Post date 2022-11-01
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I have a new article out now in The Journal of City Climate Policy and Economy, coauthored with a team that includes several of the folks from our recent series in The Lancet Global Health. The JCCPE article, “A Pathway to Prioritizing and Delivering Healthy and Sustainable Cities,” synthesizes findings and recommended policy actions arising from that recent TLGH series.

From the abstract:

Creating healthy and sustainable cities should be a global priority. Some cities prioritize 15-minute cities as a planning approach with co-benefits for health, climate change mitigation, equity, and economic recovery from COVID-19. Yet, as our recent The Lancet Global Health series on “Urban Design, Transport, and Health” showed, many cities have a long way to go to achieve this vision. This policy guideline summarizes the main findings of the series, which assessed health and sustainability indicators for 25 cities in 19 countries. We then outline steps governments can take to strengthen policy frameworks and deliver more healthy, equitable, and sustainable built environments. The Lancet Global Health series provided clear evidence that cities need to transform urban governance to enable integrated planning for health and sustainability and commit to policy implementation. Evidence-informed indicators should be used to benchmark and monitor progress. Cities need policy frameworks that are comprehensive and consistent with evidence, with measurable policy targets to support implementation and accountability. The series provided evidence-informed thresholds for some key urban design and transport features, which can be embedded as policy targets. Policies and interventions must prioritize identifying and reducing inequities in access to health-supportive environments. Governments should also invest in open data and promote citizen-science programmes, to support indicator development and research for public benefit. We provide tools to replicate our indicators and an invitation to join our 1,000 Cities Challenge via the Global Observatory of Healthy and Sustainable Cities.

For more, check out the JCCPE article itself. And you may also be interested in our recent The Lancet Global Health series of articles that developed similar themes in great depth.

Planning

ISPAH in Abu Dhabi

Alongside Billie Giles-Corti and Jim Sallis, I will be presenting our team’s recent research into accessible, sustainable urban design around the world at the ISPAH Congress in Abu Dhabi this week. Our symposium at the congress will share the methods and findings from our The Lancet Global Health series published this summer, as well as our ongoing work on the Thousand Cities Challenge.

Our geospatial team developed open-source software to calculate indicators of walkability and accessibility around the world, and then linked these back to cities’ policy contexts and identified populations living above and below estimated thresholds for physical activity. Few cities had measurable policy standards and targets to actually build healthier and more sustainable cities, and their health-supportive built environment features were often inadequate or inequitably distributed.

We simultaneously launched the Global Observatory of Healthy and Sustainable Cities to promote healthy and sustainable urban planning, benchmark and monitor cities’ progress, and share more consistent, comparable urban data. The whole series of articles is free and open access, as is our software.

Urban

The Lancet Global Health Series on Urban Design, Transport, and Health

Post author By gboeing
Post date 2022-06-01
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After many years of hard work, our series of articles on urban design, transport, and health has been published by The Lancet Global Health.

In our first paper, we analyzed urban policies and calculated built environment indicators for 25 cities across 6 continents to assess walkability and accessibility. Our policy analysis found policies inconsistent with public health evidence, rhetoric endorsing health and sustainability but few measurable policy targets, and substantial implementation gaps.

Data

OSMnx v1.2 Released

OSMnx v1.2.0 has been released. It includes several new features, bug fixes, and performance enhancements. I encourage you to upgrade and take advantage of everything new. For more information, check out the OSMnx documentation and usage examples for demonstrations of all you can do.

Planning

Framework for Measuring Pedestrian Accessibility

Post author By gboeing
Post date 2021-06-01
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I’m a co-author of a new article, “A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data,” which has just been published by Geographical Analysis. We developed an open source, containerized software framework for modeling pedestrian networks using open data to analyze disaggregate access to daily living needs. We worked with local partners in 25 cities around the world to demonstrate and validate this toolkit.

From the abstract:

Pedestrian accessibility is an important factor in urban transport and land use policy and critical for creating healthy, sustainable cities. Developing and evaluating indicators measuring inequalities in pedestrian accessibility can help planners and policymakers benchmark and monitor the progress of city planning interventions. However, measuring and assessing indicators of urban design and transport features at high resolution worldwide to enable city comparisons is challenging due to limited availability of official, high quality, and comparable spatial data, as well as spatial analysis tools offering customizable frameworks for indicator construction and analysis. To address these challenges, this study develops an open source software framework to construct pedestrian accessibility indicators for cities using open and consistent data. It presents a generalized method to consistently measure pedestrian accessibility at high resolution and spatially aggregated scale, to allow for both within- and between-city analyses. The open source and open data methods developed in this study can be extended to other cities worldwide to support local planning and policymaking. The software is made publicly available for reuse in an open repository.

For more, check out the article.

Data

OSMnx v1.1 Released

OSMnx v1.1.0 has been released. It includes several new features, bug fixes, and performance enhancements. I encourage you to upgrade and take advantage of everything new. I’ll summarize some of the key improvements in this post.

Data

Worldwide Street Network Models and Indicators

Post author By gboeing
Post date 2021-03-09
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My article, “Street Network Models and Indicators for Every Urban Area in the World” has been published by Geographical Analysis. This project was a massive undertaking and I’m excited to share it. As you might guess from the title, I modeled and analyzed the street network of each urban area in the world then deposited all the source code and models and indicators in open repositories for public reuse. The article also includes a high-level analysis of urban street network form across the world.

Cities worldwide exhibit a variety of street patterns and configurations that shape human mobility, equity, health, and livelihoods. Using boundaries derived from the Global Human Settlement Layer, I modeled and analyzed the street networks of every urban area in the world using OSMnx and OpenStreetMap raw data. In total, I modeled over 160 million street network nodes and over 320 million edges across 8,914 urban areas in 178 countries. I attached node elevations and street grades to every node/edge in the final models. All the final models were topologically simplified such that nodes represent intersections and dead-ends, and edges represent the street segments linking them.

Data

GIS and Computational Notebooks

Post author By gboeing
Post date 2021-02-11
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I have a new chapter “GIS and Computational Notebooks,” co-authored with Dani Arribas-Bel, out now in The Geographic Information Science & Technology Body of Knowledge. Want to make your spatial analyses more reproducible, portable, and well-documented? Our chapter is a short, gentle intro to using code and notebooks for modern GIS work.

Science and analytics both struggle with reproducibility, documentation, and portability. But GIS in both research and practice particularly suffers from these problems due to some of its unique characteristics. Our chapter discusses this challenge and its urgency for building better and more actionable knowledge from geospatial data. Then we introduce an emerging solution, the computational notebook, using Jupyter as our central example to illustrate what it does and how it works.

Data

OSMnx 1.0 Is Here

Happy new year! After five years of development and over 2,000 code commits from dozens of contributors, OSMnx v1.0 has officially been released. This has been a long labor of love and I’m thrilled to see it reach this milestone.

Much has changed in recent months with new features added and a few things deprecated. Most of this development occurred in a major overhaul over the summer, which I covered at the time in three previous posts. Among these dozens of enhancements were major speed and efficiency improvements throughout the package, better visualization, a new geometries module for retrieving any geospatial objects from OSM, topological intersection consolidation, and much more. I encourage you to read those posts to familiarize yourself with what’s new.

Urban

Urban Form and OpenStreetMap

Post author By gboeing
Post date 2020-12-15
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My chapter “Exploring Urban Form Through OpenStreetMap Data: A Visual Introduction” has just been published in the new book Urban Experience and Design: Contemporary Perspectives on Improving the Public Realm edited by Justin Hollander and Ann Sussman.

From the abstract:

This chapter introduces OpenStreetMap—a crowdsourced, worldwide mapping project and geospatial data repository—to illustrate its usefulness in quickly and easily analyzing and visualizing planning and design outcomes in the built environment. It demonstrates the OSMnx toolkit for automatically downloading, modeling and visualizing spatial data from OpenStreetMap. We explore patterns and configurations in street networks and buildings around the world computationally through visualization methods—including figure-ground diagrams and polar histograms—that help compress urban complexity into comprehensible artifacts that reflect the human experience of the built environment. Ubiquitous urban data and computation can open up new urban form analyses from both quantitative and qualitative perspectives.

For more, check out the chapter.