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With temperatures set to soar up to 40 degrees Celsius in some areas of the UK, many of us are thinking about the heat. It’s becoming a regular observation that our urban areas are increasingly hot and dry. Parks turn brown in the summer. Reservoirs are depleted. Even in my own little microcosm, I find the plants I can grow easily in the countryside are no match for the arid suntrap that is my London garden. Chili peppers survive but become nuclear in self-defence against the heat while soft-leaved plants simply wither up, burnt out by the sun.
Recently, I’ve been undertaking a number of healthy streets audits and now this heatwave has me thinking that a ‘healthy’ street should be one in which climate extremes don’t occur.
Car free neighbourhoods are not a new concept, many examples exist across Europe, particularly in countries like Denmark and Germany. Car free developments or Low Traffic Neighbourhoods (LTN) are also increasingly popular (although often controversial) in the UK and have been the common in London for a number of years.
It is widely recognised that the transport world is evolving at apace: whether that be in the switch to electric vehicles, increases in the levels of active travel observed, or the home delivery phenomenon accelerated by the Covid-19 pandemic.
But what does all this mean for developers and transport planners? And how can development provide resilience in a future world filled with so much uncertainty?
Even without the upheaval of a global pandemic, most of us would say there are more cars in London now than there used to be, so it seems logical to assume more cars equals more car ownership. Except this is assuming that ‘car ownership’ is just a gross count of the number of cars in any given area, and as anyone who has dipped a toe in psychology or statistics will tell you, that’s just not how either numbers or people work.
It has been 10 years since I started using geographic information system (GIS) software.
GIS is computer-based software that allows the user to create interactive queries, store and edit spatial and non-spatial data and visually share the results of these operations by presenting them as maps. The production and presentation of maps using GIS software is common in many disciplines, including environmental science and architecture.