Selected Works Himadri Shekhar Kundu
Rutgers University, NJ
M.C.R.P., Urban Planning and Design, 2017 • Travel Characteristics of New Jersey • Campus Redevelopment Plan • New Brunswick Vision Plan • Real Estate Design Competition Winner
SFMTA, San Francisco Student Design Trainee II, Summer 2016
ICICI Bank Ltd., Mumbai, India
Real Estate Mortgage Valuations, 2015
NICMAR, Pune, India
Graduate Degree, Construction & Project Management, 2014
Jadavpur University, Kolkata, India • • •
B.E. Civil, 2009 Research Fellow, 2011 Land Use & Transportation Planning
Consulting Engineering Services (Jacobs), New Delhi, India Highway Contract Management Trainee, Summer 2013
CONTENTS
ADDRESS GEOCODING
SPATIAL ANALYST ROUTING EFFICIENCY
GEOSTATISTICAL ANALYST NEAREST FACILITY
SCENARIO 360
DEMAND
LOCATION ALLOCATION
SCALE
CARTOGRAPHY
GEO-PROCESSING TRAFFIC ANALYSIS DISASTER PLANNING
DATA QUALITY NETWORK
ANALYSIS
SITE SUITABILITY ANALYSIS Waste Disposal Facility, Lakewood Township, New Jersey
4-5
Recreational Facilities, Hudson County, New Jersey
6-8
New Residential Development, Delaware Township, New Jersey
FORECASTING SUSTAINABILITY
MOBILITY
COORDINATION AVIATION
CORRIDOR STUDIES ENVIRONMENTAL MANAGEMENT
PLANNING
TRAFFIC
HIGHWAY DESIGN
NETWORK ANALYSIS ENVIRONMENT
DATA COLLECTION
TRANSIT
ROUTE PLANNING
EXPRESS LANES
TOLL ALTERNATIVES ANALYSIS
ENVIRONMENTAL IMPACT ASSESSMENT
MARKET RESEARCH SUSTAINABILITY
MOBILITY
COORDINATION QUALITY
LEED
CONTRACTS
VISIONING
LAND DEVELOPMENT TRANSPORTATION PLANNING ECONOMIC DEVELOPMENT
PROJECT MANAGEMENT ENVIRONMENT
ZONING
DEMAND MANAGEMENT
REDEVELOPMENT & REHABILITATION
NEIGHBORHOOD DEVELOPMENT
SITE PLANNING & PROGRAMMING
9
TRANSPORTATION PLANNING Travel Characteristics of New Jersey TRANSIT ACCESSIBILITY ANALYSIS Recreational Facilities, Edison Township, New Jersey
10 - 15
16
STATISTICAL ANALYSIS Geostatistical & 3D Analyst Spatial Statistics, Crime Statistics Analysis, Albany , New York
17 18 - 19
SITE SUITABILITY ANALYSIS
Waste Disposal Facility, Lakewood Township, New Jersey, Fall 2016 Academic Timeline: 1 week
Lakewood Township Location
Distance to Wetlands
Land use 2012 Raster
Environmental Suitability Four Factor Analysis was carried out to find suitable sites for a new Waste Disposal Facility, based on the following factors: 1. Non - residential land use currently 2. Not in the floodprone zone
0
0.5
1
2
3
Miles
0
0.5
1
2
3
Miles
3. Within 1 mile of a major road 4. Not within 1000 feet of a wetland or water body
Source: New Jersey Department of Environmental Protection; URL: http://www.state.nj.us/dep New Jersey Geoographic Information Network; URL: https://njgin.state.nj.us
himadrishekharkundu@gmail.com
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SITE SUITABILITY ANALYSIS
Waste Disposal Facility, Lakewood Township, New Jersey, Fall 2016
Distance to Wetlands
Flood Prone Areas
Suitable Sites
(in ft)
0
0.5
1
2
3
Miles
0
0.5
1
2
3
Miles
0
0.5
1
2
3
Miles
Source: New Jersey Department of Environmental Protection; URL: http://www.state.nj.us/dep New Jersey Geoographic Information Network; URL: https://njgin.state.nj.us
himadrishekharkundu@gmail.com
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SITE SUITABILITY ANALYSIS
Recreational Facilities, Hudson County, New Jersey, Fall 2016 Academic Timeline: 2 weeks
Context Increasingly open recreational facilities and green spaces are being sought for a premium by the urban dwellers due to the lack of quality accessible spaces within the city limits. Hudson County, New Jersey being one of the most densely urbanized county was chosen for a case study to determine the most suitable site for a new open recreational facility development
Existing Recreational Facilities
Methodology - Network Analyst Service Area - Coverage of existing facilities - 10 min walking distance Location Allocation - Candidate parcels that maximized walkable attendance based on population weights
Service Area for Existing Recreational Facilties
Source: New Jersey Department of Environmental Protection; URL: http://www.state.nj.us/dep New Jersey Geoographic Information Network; URL: https://njgin.state.nj.us U.S. Decinial Census; URL: https://www.census.gov
himadrishekharkundu@gmail.com
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SITE SUITABILITY ANALYSIS
Recreational Facilities, Hudson County, New Jersey Methodology
Methodology
- Spatial Analyst A circular area with radius of 1500' was selected for each candidate sites on the basis of the Location Allocation results to further analyze the parcel charateristics and 3 analysis areas were chosen for environmental suitability.
- Spatial Statistics Used to analyze the clustering and distributions of Class of Property, Value & Size of parcels
Allocated Site Analysis Areas Location Allocation of New Candidate Sites
Site Analysis Areas
Site Number 4 26 48 & 56 49 & 57 54 55 & 60 58
Weights
Value Rank 7 5 1 2 3 6 4 25%
Ranking Residential Demand Vacant Area Weighted Rank Rank Rank Rank Rank 7 2 5 3 1 6 4 25%
5 7 3 2 6 1 4 25%
1 5 3 4 7 2 6 15%
1 2 6 7 4 3 5 10%
5 4.45 3.3 3.05 3.95 3.85 4.4 100%
Source: New Jersey Department of Environmental Protection; URL: http://www.state.nj.us/dep New Jersey Geoographic Information Network; URL: https://njgin.state.nj.us U.S. Decinial Census; URL: https://www.census.gov
himadrishekharkundu@gmail.com
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SITE SUITABILITY ANALYSIS
Recreational Facilities, Hudson County, New Jersey Methodology Weighted Ranking - All the candidate areas ranked first on the basis of invididual variables analyzed and then under a combined rank where Population, % of Residential parcels and Value were each weighted 25%.
Suitable Facilitiy locations within Site Area 55 & 60
Suitable Facilitiy locations within Site Area 48 & 56
Recommended Area
- Environmental Suitability Four factor analysis - Proximity to Chromate contamination sites, - Proximity to Wetlands, - Vacancy of parcel, - Proximity to residential population demand Weighted Overlay function was performed with proximity to residential demand as the highest weight.
Suitable Facilitiy locations within Site Area 49
Parcel Statistics Mean Net Mean Site Population Parcel Value of Number Weight Parcels Area (SF) 4 $ 391,097 2084 99466 26 $ 236,294 1814 6387 48 & 56 $ 81,818 31586 3020 49 & 57 $ 105,915 70784 2921 54 $ 108,146 2062 4081 55 & 60 $ 245,625 100541 4237 58 $ 170,551 6245 3847 Limitation - In-depth analysis could be performed in future with higher number of factors, which was out of scope within the time avialble.
himadrishekharkundu@gmail.com
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SITE SUITABILITY ANALYSIS
New Residential Development, Delaware Township, New Jersey, Fall 2016 Academic Timeline: 1 week
Context Based on the Goals and Objective provided by the Township of Delaware, a suitability analysis was performed for new residential land use as a part of the Comprehensive Plan for the Township
GOAL 1: Protect all agricultural land
GOAL 2: Protect evironmental quality
Protect existing agricultural land
Influe
nce
Multiple Utility Assignment 1
Containment of rural residential
Preserve open space & Natural Heritage sites Preserve the wetlands
nce
Influe
nce
30%
High/ Medium Density development Away from Airports, Industry, Contaminated Sites
30%
Multiple Utility Assignment 2
nce
Influe
Influe
nce
30%
Final Multiple Utility Assignment
40%
40%
Multiple Utility Assignment 3
nce
Influe
Influence 50%
30%
Influe
Preserve Steep Slopes
GOAL 3: Consolidate the new residential development
70%
Influence 20%
60%
Model Builder ArcMAP 10.4
himadrishekharkundu@gmail.com
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TRAVEL CHARACTERISTICS OF NEW JERSEY Rutgers University, New Brunswick
Academic Timeline: 2 weeks
Research Objective •
Study the demographics, travel characteristics, travel behavior (to a certain extent) and the relationship to land use in New Jersey In particular, residential land use, residential choice and how that influences the commuting behavior, mode choice behavior for non-work travel of individuals
•
Methodology • • •
2009 NHTS data Descriptive Statistics Spatial Analysis
Residential Densities were grouped into 5 different classes (units/sq. mile) • • • • •
Very Low: 0 -99 Low: 100 -499 Moderate: 500 -1999 High: 2000 -9999 Very High: 10000 -99999
Household family income was classified into 2 groups: < $ 40,000 p.a. -Low Income > $ 40,000 p.a. -Medium to High Income
INCOME DISTRIBUTION IN NEW JERSEY, 2011 ($'000) TOTAL
MALE
FEMALE
90000 80000
Median Household Income in 2011, NJ $71,093
70000 Population
Annual Income required to rent 0 BR Apartment statewide in NJ $39,514*
Source: 2010 Census Topological Integrated Geographic Encoding and Referencing (TIGER) files for the New Jersey transportation network.
60000 50000 40000
(U.S. Census, American Community Survey 2011 Estimates)
30000 20000 10000 0 35 - 50
50 - 65
65 - 75
75 - 100
100 & above
Income ($'000)
Source: U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
himadrishekharkundu@gmail.com
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Transit Use v/s Residential Density TRAVEL CHARACTERISTICS OF NEW JERSEY
Results & Analysis
120%
Results & Analysis
100%
Residential Density (housing units/ sq. mile)
Time to work (mins)
Transit Use
# of Bike trip Last week
Personal VMT/day
Trip Distance
High
Very High
100 - 499 16.0
500 - 1999 8.6
2000 - 9999 5.3
10000 - 99999 N.A.
16.8 28.0
17.2 14.8
16.3 18.3
10.4 N.A.
29.5 0.0
30.7 0.3
29.4 0.1
32.3 2.0
32.8 1.4
3.4 7.2
2.0 2.8
2.3 3.0
3.8 2.6
7.4 4.7
4.3 86%
4.9 100%
3.8 95%
3.9 81%
4.8 0%
97% 0.7
96% 0.9
93% 0.7
87% 0.7
78% 0.2
1.2 0%
0.9 0%
0.8 0%
0.9 4%
0.7 100%
0% 0.3
1% 0.0
3% 0.2
2% 0.0
13% 0.0
0.5 10.5
0.5 7.8
0.4 5.0
0.4 3.6
0.0 2.5
Low
15.9 10.6
11.6 7.0
9.2 5.2
10.0 3.4
7.3 6.2
Medium - High
15.4
13.4
15.6
7.6
6.2
Low Medium - High
# of Walk trips in the past Low week Medium - High
Cars Ownership/HH Size
Moderate
18.9 15.6
Medium - High
# of Transit trips in the past Low week Medium - High
Auto Use (% of all modes)
Low
Low Medium - High Low Medium - High Low Medium - High Low Medium - High Low Medium - High
% of all modes
Distance to Work (miles)
80%
60%
Medium - High Income
40% 20% 0% Very Low
Low
Moderate
RESIDENTIAL DENSITY
High
Very High
Residential Density for Household Income 60% 50%
Relative Frequency
Travel Characteristics
Very Low HH Family Income Level 0 - 99 9.3 Low
Low Income
RESIDENTIAL DENSITY
Very Low
40%
Low 30%
Moderate High
20%
Very High 10% 0% Low Income
Medium - High Income
Source: U.S. Department of Transportation, Federal Highway Administration,5 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
Source: U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
himadrishekharkundu@gmail.com
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TRAVEL CHARACTERISTICS OF NEW JERSEY
Source: U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
himadrishekharkundu@gmail.com
12
TRAVEL CHARACTERISTICS OF NEW JERSEY
Source: U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
himadrishekharkundu@gmail.com
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TRAVEL CHARACTERISTICS OF NEW JERSEY
Source: U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
himadrishekharkundu@gmail.com
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TRAVEL CHARACTERISTICS OF NEW JERSEY
Conclusion • Similar trends to other travel behavior studies for New Jersey and others states • Built environment has considerable influence but so does other factors • Increase in density & diversity also likely to increase avg. travel time and congestion • Difficult to force people to change their preferential modes • Restricting further sprawling and providing residential mobility for low • income households with a preference for dense urban transit areas.
Source: U.S. Department of Transportation, Federal Highway Administration, 2009 National Household Travel Survey. URL: http://nhts.ornl.gov
himadrishekharkundu@gmail.com
15
TRANSIT ACCESSIBILITY ANALYSIS
Recreational Facilities, Edison Township, New Jersey, Fall 2015
Final Buffer Overlay Analysis
himadrishekharkundu@gmail.com
16
GEOSTATISTICAL & 3D ANALYST
Based on the data set from the U.S. Census via the New Jersey State Data Center website a point dataset was used to interpolate the poverty rate across the state by the help fo the Geostatistical Analyst Extension of the ArcGIS suite.
3D Map of Percentage Population below Poverty Line
Both these maps show slightly different variations of the predicted poverty or income rate distribution from the same point data set The first map was created using an Emperical Bayesian kriging method, while the second one was created using Radial Basis Function.
Source: U.S. Decinial Census; URL: https://www.census. gov New Jersey State Data Center: URL: http://lwd.dol. state.nj.us/labor/lpa/content/njsdc_index.html
himadrishekharkundu@gmail.com
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SPATIAL STATISTICS
Crime Statistics Analysis, Albany, New York, Fall 2016
)Poverty(
Source: Division of Criminal Justice Services, New York State; URL: http://www.criminaljustice.ny.gov/crimnet/ ojsa/stats.htm
himadrishekharkundu@gmail.com
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SPATIAL STATISTICS
Crime Statistics Analysis, Albany, New York
Source: Division of Criminal Justice Services, New York State; URL: http://www.criminaljustice.ny.gov/crimnet/ ojsa/stats.htm
himadrishekharkundu@gmail.com
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Photography by Himadri Shekhar Kundu
Himadri Shekhar Kundu New Brunswick, NJ, USA (732) 948-3243
https://www.linkedin.com/in/hskundu
himadrishekharkundu@gmail.com
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