Discover and read the best of Twitter Threads about #Congestion

Most recents (7)

🦎 Ouverture des 13èmes Journées Thématiques #FAERE « #Villes & #Environnement » 

💬 Discours d’accueil de M. Ben Salem et J. Lochard, directrices du laboratoire #ERUDITE.

➡️Présentation des activités de la #FAERE

📆 1er et 2 juin
📍 La Centrif’ - Cité Descartes

#JT_FAERE ImageImageImage
🦎Première session de présentations avec un ensemble de trois travaux orientés « #énergie »

#JT_FAERE #Ville #Cities #Environment #Environnement #Economics #Economie ImageImageImage
Read 26 tweets
I promise a thread 🧵when the paper gets accepted. It's about the thermodynamics of traffic flow near the critical density.

Next up is to show that the entropy of an urban network is the travel time!
1/n

The paper below by @jianxi_gao @LouisShekhtman and others reveals macroscopic emergent behavior in the Beijing urban network consistent with self-organized criticality. This changes everything.

pnas.org/doi/10.1073/pn…
Read 21 tweets
#YearInReview - We shared #ideas for better #cities (1/9)

1 - The future of cities post-pandemic
2 - Resilient dense cities
3 - Managing urban expansion
4 - Better data for policy making
5 - Financial capacity of Mumbai
6 - Costs of congestion in Mumbai
7 - Lessons from Japan
1. The future of cities post-pandemic (2/9)

The pandemic poses new challenges for cities. In @BBCTheRealStory, @VaidehiTandel discussed this with Edward Glaeser from @Harvard, Astrid Haas, Policy Director from @The_IGC and @ProfMCarmona from @ucl

bbc.co.uk/programmes/w3c…
2. Resilient dense cities (3/9)

@nebuer42 and @VaidehiTandel argued that density is not to be blamed for the spread of #COVIDー19 in our cities, rather, these patterns emerged from multiple factors -@htTweets

hindustantimes.com/analysis/don-t…
Read 9 tweets
How does traffic ‘evaporate’ without crashing the local economy? A thread #LowTrafficNeighbourhood #Congestion #ULEZ
Fewer shoppers drive to the supermarket, often favouring on-line delivery for a big shop – a single van (including electric ones) can make up to 30 deliveries a day. about.sainsburys.co.uk/news/latest-ne…
People make more use of shops that are convenient to reach on foot or by bike sustrans.org.uk/our-blog/get-a… and more people use shopping trolleys argos.co.uk/sd/argos-shopp…
Read 20 tweets
On why we need to increase investments in #roads: Our report, Infrastructure Priorities for Job Creation in India, finds that investing in roads has the largest impact on employment generation for agro-allied and services firms. (cutt.ly/xw4g76O) (1/3) Image
The report also found that poor quality of roads are a major hindrance to businesses, as reported by 84% of industrial firms, 64.5% of services firms and 61.4% of agro-allied firms. (2/3) Image
Our working paper on Mumbai's #congestion finds that long commutes are eradicating the economic productivity of India's financial capital. Mumbaikars waste 11 days a year stuck in #traffic. Congestion also has high environmental costs. (bit.ly/3cIK1kE) (3/3) Image
Read 4 tweets
We’ve gone through half a billion @Uber data points to give you insights into #Mumbai's horrific #congestion, which leads to gross inefficiencies for employers and employees, #pollution and fuel waste.

Interactive urbanflux.org/mumbai_app/
Paper: bit.ly/37d0wkL Image
The ability to move freely and easily is an important factor in determining #cities’ productivity. Firms get access to more workers and workers get access to more firms. @VasantDhar has done great work on this. Image
Long commute times erode #productivity and satisfaction. This too constrains the size of the labour market. @easeofliving19
Read 16 tweets
If you're interested in #traffic, Amazon deliveries, logistics, #congestion, #environmental issues, and #ClimateBreakdown then grab a cup of tea,.

Settle in for a long thread on same-day delivery, it comes with 14 parts and some additional commentary👇
Let's start with a fun challenge.

Pick 30 random addresses in the town in which you live. Then pick 30 randomly sized items available on Amazon, one for each address. Your task is to plan a journey that minimises the driving time and gets them delivered in a day. 1/14
Now let's make it harder, select 1000 random addresses, and 1000 randomly sized packages.

You've got five days to fulfil all the orders this time, and ten vans with which to work. You've got an hour to get the journeys planned. 2/14
Read 17 tweets

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