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Transport     & Mobilityinclusive, green and sustainable         Anupam Saraph, Ph.D.,             Future Designer
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in Human Urban Mobility. PLoS ONE 7(5): e37027. doi:10.1371/journal.pone.0037027Noulas A, Scellato S, Lambiotte R, Pontil ...
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Transport and mobility

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Summary of policy recommendations and basis for inclusive, green and sustainable transportation for optimal mobility with India as an example

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  • The rank for each transition between two places u and v is the number of places w that are closer in terms of distance to u than v is . Higher ranks: more places closer within that distance. Lower ranks: less places within that distance.
  • Transcript of "Transport and mobility"

    1. 1. Transport & Mobilityinclusive, green and sustainable Anupam Saraph, Ph.D., Future Designer
    2. 2. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r s e , k e mobility - S h a r e A l i l i c e n l i c e n s e d  Distance a person travels h i s in a given period of time t l i s C o m m e r c i a o f  Demand for mobility and w o r k c o p y speed of travel increases with income i s a o n T h  Amount of time devoted w v i e t i o n - N r a p h . to travel is approximately T o constant across countries S a A t t r i b u L i c e n s e . and incomes A n u p a m n s m o 13 m 0Data: GCEP Advanced Transportation Assessment Report - Spring 2006 o 2 C ) c (
    3. 3. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r s e , k e transport - S h a r e A l i l i c e n l i c e n s e d  Globally 2.5 TW from carbon h i s based fuels used annually t l i s C o m m e r c i a  Contribution of global o f emission related energy use w o r k c o p y expected to grow from 24% to 33% i s a o n T h w  95% energy for transportation v i e t i o n - N r a p h . from comes from oil, 3% from T o gas and only 0.4% from S a A t t r i b u renewables L i c e n s e . A n u p a m  In USA 2/3 energy is used for people transportation, 1/3 for n s goods transport m o 13 m 0Data: GCEP Advanced Transportation Assessment Report - Spring 2006 o 2 C ) c (
    4. 4. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r s e , k e inclusive - S h a r e A l i l i c e n l i c e n s e d  Inclusive: Proportion of nodes h i s in a private corridor that also t l i s C o m m e r c i a o f connect public corridors w o r k c o p y  A network is exclusive if any of the nodes connected by i s a o n T h its corridors are inaccessible w v i e t i o n - N r a p h . through other corridors T o  In India corridors are S a A t t r i b u L i c e n s e . developed for private A n u p a m transport; public transport exists only on a subset of n s m o private corridors 13 m 0Data: BASIC ROAD STATISTICS OF INDIA: 2004-05, 2005-06, 2006-07 & 2007-08 o 2 C ) c (
    5. 5. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r s e , k e green - S h a r e A l i l i c e n l i c e n s e d  Green transportation has h i s low road density (km t l i s C o m m e r c i a roads per square km) o f w o r k c o p y  High road density is red, low road density is white i s a o n T h  1.28 km per square km in w v i e t i o n - N r a p h . India is about twice of T o the USA, 4 times that of S a A t t r i b u L i c e n s e . China and 25 times A n u p a m Australia and Canada n s m o 13 mData from World Bank 0 o 2 C ) c (
    6. 6. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r s e , k e sustainable - S h a r e A l i l i c e n l i c e n s e d  Transportation is sustainable if h i s vehicles can continue to ply t on roads l i s C o m m e r c i a o f  High vehicle density (vehicles w o r k c o p y per km of road) makes transportation unsustainable i s a  India has 4 vehicles per km o n T h w road or 1/9th of USA, 1/5th of v i e t i o n - N r a p h . China, Canada and T o Australia S a A t t r i b u L i c e n s e .  Congestion on Indian roads is A n u p a m a result of exclusive private networks and not road n s capacity m o 13Data from World Bank m 0 o 2 C ) c (
    7. 7. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r drivers of s e , k e mobility - S h a r e A l i l i c e n l i c e n s e d  Mobility emerges from h i s the network t l i s C o m m e r c i a configuration in a city o f w o r k c o p y  People are more mobile when fewer nodes are i s a o n reachable within the T h w v i e t i o n - N same distance r a p h . T o  People are less mobile S a A t t r i b u L i c e n s e . when many nodes are A n u p a mData: Noulas A, Scellato S, Lambiotte R, Pontil M, et al. (2012) A Tale reachable within theof Many Cities: Universal Patterns in Human Urban Mobility. PLoS same distance n sONE 7(5): e37027. doi:10.1371/journal.pone.0037027 m o 13 m 0 o 2 C ) c (
    8. 8. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r acceptable s e , k e mobility - S h a r e A l i l i c e n l i c e n s e d  Passenger Km travel per h i s square Km that may not generate more pollution t l i s C o m m e r c i a o f than acceptable norms w o r k c o p y  Less the people per square Km, the more the i s acceptable mobility for a o n T h w the same mode of travel v i e t i o n - N r a p h .  Pollution free modes T o increase acceptable S a A t t r i b u mobility L i c e n s e . Dynamic flows can reduce A n u p a m Data: Saraph and Joshi (work in progress) or increase acceptable mobility n s m o 13 m 0 o 2 C ) c (
    9. 9. in Human Urban Mobility. PLoS ONE 7(5): e37027. doi:10.1371/journal.pone.0037027Noulas A, Scellato S, Lambiotte R, Pontil M, et al. (2012) A Tale of Many Cities: Universal Patterns ( c ) 2 0 1 3 A n u p a m S a r a p h . T h i s w o r k i s l i c e n s e d u n d e r t h e C r e a t i v e C o m m o n s A t t r i b u t i o n - N o n C o m m e r c i a l - S h a r e A l i k e 3 . 0 U n p o r t e d L i c e n s e . T o v i e w a c o p y o f t h i s l i c e n s e , v i s i t
    10. 10. e v i d t a e e t r r o C p t h e U n v i s i t 3 . 0 u n d e r regulating s e , k e mobility - S h a r e A l i l i c e n l i c e n s e d  Contain city boundary h i s within maximum distance t l i s C o m m e r c i a for acceptable mobility o f w o r k c o p y  Create redevelopment plans (not development i s a o n plans) that ensure many T h w v i e t i o n - N nodes are reachable r a p h . within the short distances T o S a A t t r i b u L i c e n s e . A n u p a m n sData: S. Mukherjee , Pramana – J. Phys., Vol. 79, No. 3, September 2012 m o 13 m 0 o 2 C ) c (
    11. 11. e v i d t a e e t r r o C recommendations p t h e U n v i s i t 3 . 0 u n d e r• Mobility audit or all cities every year based on s e , k e network configuration, population and modal splits - S h a r e A l i l i c e n l i c e n s e d• City’s to prepare redevelopment plans that ensure h i s many nodes are reachable within the short t l i s C o m m e r c i a o f distances w o r k c o p y• All road projects must be evaluated for the network i s a configuration they alter o n T h w v i e t i o n - N r a p h .• Public networks must be redesigned to be truly T o substitutable to private networks S a A t t r i b u L i c e n s e .• City boundaries redesign based on acceptable A n u p a m mobility standards n s m o 13 m 0 o 2 C ) c (
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