
In our previous posts under hashtag#DataToDecarbonisation, we decoded how spatial insights from traffic intelligence can help curb urban emissions and congestion. Through examples of Bhubaneswar, Hyderabad and Singapore, we also understood how tools such as AI-based adaptive signal optimisation can improve traffic flow.
But that is just one layer of our decarbonisation research. The evidence from our Noida study points to another crucial insight.
➡️ Urban transport emissions are not driven by vehicle volume alone. The fuel type of vehicles matters a lot as well.
Using traffic data from the city’s Intelligent Traffic Management System (ITMS), the report modelled emission scenarios for one of Noida’s key corridors, the 𝐁𝐞𝐥𝐨𝐰 𝐌𝐚𝐡𝐚𝐦𝐚𝐲𝐚 𝐟𝐥𝐲𝐨𝐯𝐞𝐫 area.
The results revealed how even modest fleet electrification can generate outsized gains.
In the scenario analysis, we found that converting just 𝟐𝟎% 𝐨𝐟 𝐭𝐡𝐞 𝐝𝐢𝐞𝐬𝐞𝐥 𝐯𝐞𝐡𝐢𝐜𝐥𝐞𝐬 operating in the area to EVs could significantly reduce key pollutants.
🔷 NOx emissions could fall from 0.14 g/km to 𝟎.𝟎𝟔 𝐠/𝐤𝐦.
🔷 CO emissions could fall from 0.30 g/km to 𝟎.𝟏𝟑 𝐠/𝐤𝐦.
The base of this insight lies in the disproportionately high emission potential of diesel vehicles. With a mere 𝟐𝟐% share in the fleet (compared to 55% petrol and 23% CNG), diesel vehicles emitted𝟕𝐱 𝐦𝐨𝐫𝐞 𝐍𝐎𝐱 than other vehicles. Even partial electrification, therefore, can deliver a significant impact.
🔶 𝐏𝐨𝐥𝐢𝐜𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲
The findings highlight a critical policy takeaway. The urban transport decarbonisation framework must be broader. It must address both 𝐭𝐫𝐚𝐟𝐟𝐢𝐜 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 and 𝐟𝐥𝐞𝐞𝐭 𝐜𝐨𝐦𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧.
When combined with data-driven traffic management systems, cities gain the ability to design targeted interventions. From incentives to congestion pricing, from 𝐋𝐨𝐰-𝐄𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐙𝐨𝐧𝐞𝐬 (𝐋𝐄𝐙𝐬) to clean freight corridors, multiple pathways can support urban transport decarbonisation.
𝐒𝐦𝐚𝐫𝐭 𝐭𝐫𝐚𝐟𝐟𝐢𝐜 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 and strategic 𝐟𝐥𝐞𝐞𝐭 𝐞𝐥𝐞𝐜𝐭𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 must work together at the core of the decarbonisation framework. Policy implementation and behavioural changes can follow their lead.
For a deeper look at the modelling framework, emission analysis and policy recommendations, read our report “𝐃𝐞𝐜𝐚𝐫𝐛𝐨𝐧𝐢𝐬𝐢𝐧𝐠 𝐮𝐫𝐛𝐚𝐧 𝐭𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐮𝐬𝐢𝐧𝐠 𝐭𝐫𝐚𝐟𝐟𝐢𝐜 𝐚𝐧𝐝 𝐭𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐈𝐂𝐂𝐂: 𝐀 𝐏𝐢𝐥𝐨𝐭 𝐒𝐭𝐮𝐝𝐲 𝐢𝐧 𝐍𝐨𝐢𝐝𝐚.”
Link: theinfravisionfoundation.org/assets/pdf/dec…
#Decarbonisation #CleanMobility #SustainableTransport #ClimateAction #DataToDecarbonisation #TheInfravisionFoundation

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