Bhargav Adhvaryu
Dr Bhargav Adhvaryu is a Professor at the Faculty of Technology. He joined CEPT University in 2011 as head of the M Tech in Infrastructure Engineering & Management (MIEM). He teaches topics related to urban planning; urban form and transport interaction and modeling; planning and design of urban transport infrastructure; and quantitative research methods. His research and practice interests span a wide variety of interlinked areas such as sustainable urban form and transport; transport infrastructure planning, design, and management; enhancing development/master planning using analytical tools and techniques; land use-transport interaction (LUTI) modeling, and incorporating economic aspects into models of cities.
Dr. Adhvaryu’s doctorate is in Urban & Transport Planning & Modeling from the University of Cambridge and Churchill College, UK. He did his Master of Science (Transport) from the Imperial College London and UCL, UK, after Postgraduate Diploma in Planning (URP) from CEPT University. His civil engineering education was done in REC, Surat. He has been a topper and ranker and has three gold medals and a list of prestigious scholarships and fellowships awarded to him during an illustrious educational career. He has been doing research/teaching/project consultancy full time and part time in between and later, at Surat, Ahmedabad (CEPT included) and Cambridge, all in the areas of urban transport infrastructure design, LUTI modeling, and development plans. He was also a lecturer are the Faculty of Planning from 2001–04.
He has been was a Fulbright Visiting Professor University of California, Los Angeles (UCLA), USA, Spring 2012. He is also the recipient of the British Chevening Scholarship in 2002.
He has publications in internationally reputed journals in these areas to his credit. (see http://www.bhargavadhvaryu.net)
Dr. Adhvaryu’s doctorate is in Urban & Transport Planning & Modeling from the University of Cambridge and Churchill College, UK. He did his Master of Science (Transport) from the Imperial College London and UCL, UK, after Postgraduate Diploma in Planning (URP) from CEPT University. His civil engineering education was done in REC, Surat. He has been a topper and ranker and has three gold medals and a list of prestigious scholarships and fellowships awarded to him during an illustrious educational career. He has been doing research/teaching/project consultancy full time and part time in between and later, at Surat, Ahmedabad (CEPT included) and Cambridge, all in the areas of urban transport infrastructure design, LUTI modeling, and development plans. He was also a lecturer are the Faculty of Planning from 2001–04.
He has been was a Fulbright Visiting Professor University of California, Los Angeles (UCLA), USA, Spring 2012. He is also the recipient of the British Chevening Scholarship in 2002.
He has publications in internationally reputed journals in these areas to his credit. (see http://www.bhargavadhvaryu.net)
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Papers by Bhargav Adhvaryu
Using simplified urban models adapted to the data constraints, this paper explores the prospects of enhancing planning in developing countries, with the aim of shifting the plan-making process from being purely intuitive towards being more scientific. The SIMPLAN (SIMplified PLANning) modelling suite has been developed for the case study city of Ahmedabad, India (the calibration per se is not discussed) to test alternative urban planning policies (combinations for land use and transport) for the year 2021. Model outputs are evaluated for key economic, environmental and social indicators. It should be noted that such a research study, in the context of developing countries, represents a first generation of studies/models, owing to the simplicity of the model structure and its accompanying limitations and data availability constraints. The modelling framework developed in this study has a visually driven user interface. This makes the model easy to understand,
operate and update. Due to this attribute, it allows local planning authorities to carry out testing of several alternative planning policies themselves, without having the need to outsource modelling work to private consulting firms, usually at much higher cost.
Key model outputs indicate that dispersing cities proves to be economically beneficial to society as a whole. Compact development may prove to be better in terms of environmental and social aspects, but it may be possible to tackle the undesirable effects of dispersal by appropriate combinations of planning and management measures. The modelling outputs informed the wider debate on compact vs. dispersed urban forms. It was shown that neither of these diametrically opposite forms provide an outright ‘win–win’ solution. They are likely to perform differently in different economies and sociocultural contexts. Therefore, it would appear that each city needs to test out the pros and cons of such alternative urban planning policies before pursing a plan for the future. Learning from such modelling exercises, cities can prepare their own tailor-made policy that best satisfies their objectives, making
the planning process more rigorous and transparent
ASM) is concerned with assessment of alternative planning policies against key economic, environmental, and social indicators. The core of SIMPLAN is formed by the RLM and MSM modules. This paper discusses only the calibration of the RLM and MSM for a base year (2001) for the city of Ahmedabad, India. Applications of TAM and ASM to Ahmedabad are discussed in separate papers and not reported here. However, a schematic diagram showing the interrelationship between the four modules is included. SIMPLAN is developed in a spreadsheet environment, with all key operations controlled by a visual interface using subroutines written in Visual Basic Application code. This creates a user-friendly graphical interface that makes the model simple to
understand and operate by local planning agencies, and, in addition, provides them with the flexibility of updating the model as and when new data are available or a new round of the census is conducted.
modal split model, and (d) a framework for assessing alternative urban and transport planning policies. Cities in the developed world have demonstrated effective use of complex and data-hungry land use—transport interaction models to assess possible alternative futures for informing the urban and transport planning policy formulation
process. However, in the developing world, building such complex models is challenging due to lack of data availability and resource constraints. SIMPLAN has been developed with this constrain in mind and uses available census and some basic employment related sample survey data.
For the case study of Ahmedabad, urban form and transport policies for 2021 (i.e., trend, compaction, and dispersal) are tested and assessed for key economic, environmental, and social indicators. In addition to
demonstrating a simplified model-based approach, the outputs inform the wider debate on alternative urban forms, indicating that there is no particular urban form that is a clear winner and that policy alternatives are likely to perform differently in different socioeconomic and cultural contexts. This emphasises the point that each city (as a
socio-political entity) has to test and assess alternatives for themselves and choose the optimum (or combinations) in framing their development/ master plans. It is believed that in a developing country like India with dearth of spatially disaggregated demographic and travel data by socioeconomic groups, a model such as SIMPLAN could
prove to be a robust tool for enhancing the urban and transport planning policy.
Using simplified urban models adapted to the data constraints, this paper explores the prospects of enhancing planning in developing countries, with the aim of shifting the plan-making process from being purely intuitive towards being more scientific. The SIMPLAN (SIMplified PLANning) modelling suite has been developed for the case study city of Ahmedabad, India (the calibration per se is not discussed) to test alternative urban planning policies (combinations for land use and transport) for the year 2021. Model outputs are evaluated for key economic, environmental and social indicators. It should be noted that such a research study, in the context of developing countries, represents a first generation of studies/models, owing to the simplicity of the model structure and its accompanying limitations and data availability constraints. The modelling framework developed in this study has a visually driven user interface. This makes the model easy to understand,
operate and update. Due to this attribute, it allows local planning authorities to carry out testing of several alternative planning policies themselves, without having the need to outsource modelling work to private consulting firms, usually at much higher cost.
Key model outputs indicate that dispersing cities proves to be economically beneficial to society as a whole. Compact development may prove to be better in terms of environmental and social aspects, but it may be possible to tackle the undesirable effects of dispersal by appropriate combinations of planning and management measures. The modelling outputs informed the wider debate on compact vs. dispersed urban forms. It was shown that neither of these diametrically opposite forms provide an outright ‘win–win’ solution. They are likely to perform differently in different economies and sociocultural contexts. Therefore, it would appear that each city needs to test out the pros and cons of such alternative urban planning policies before pursing a plan for the future. Learning from such modelling exercises, cities can prepare their own tailor-made policy that best satisfies their objectives, making
the planning process more rigorous and transparent
ASM) is concerned with assessment of alternative planning policies against key economic, environmental, and social indicators. The core of SIMPLAN is formed by the RLM and MSM modules. This paper discusses only the calibration of the RLM and MSM for a base year (2001) for the city of Ahmedabad, India. Applications of TAM and ASM to Ahmedabad are discussed in separate papers and not reported here. However, a schematic diagram showing the interrelationship between the four modules is included. SIMPLAN is developed in a spreadsheet environment, with all key operations controlled by a visual interface using subroutines written in Visual Basic Application code. This creates a user-friendly graphical interface that makes the model simple to
understand and operate by local planning agencies, and, in addition, provides them with the flexibility of updating the model as and when new data are available or a new round of the census is conducted.
modal split model, and (d) a framework for assessing alternative urban and transport planning policies. Cities in the developed world have demonstrated effective use of complex and data-hungry land use—transport interaction models to assess possible alternative futures for informing the urban and transport planning policy formulation
process. However, in the developing world, building such complex models is challenging due to lack of data availability and resource constraints. SIMPLAN has been developed with this constrain in mind and uses available census and some basic employment related sample survey data.
For the case study of Ahmedabad, urban form and transport policies for 2021 (i.e., trend, compaction, and dispersal) are tested and assessed for key economic, environmental, and social indicators. In addition to
demonstrating a simplified model-based approach, the outputs inform the wider debate on alternative urban forms, indicating that there is no particular urban form that is a clear winner and that policy alternatives are likely to perform differently in different socioeconomic and cultural contexts. This emphasises the point that each city (as a
socio-political entity) has to test and assess alternatives for themselves and choose the optimum (or combinations) in framing their development/ master plans. It is believed that in a developing country like India with dearth of spatially disaggregated demographic and travel data by socioeconomic groups, a model such as SIMPLAN could
prove to be a robust tool for enhancing the urban and transport planning policy.