Iowa State University Capstones, Theses and
Dissertations
Creative Components
Fall 2020
Enhancing Walkability in a Downtown: A Case Study of Adel, Iowa
Yaw Kwarteng
Follow this and additional works at: https://lib.dr.iastate.edu/creativecomponents
Part of the Urban, Community and Regional Planning Commons
Recommended Citation
Kwarteng, Yaw, "Enhancing Walkability in a Downtown: A Case Study of Adel, Iowa" (2020). Creative Components. 656.
https://lib.dr.iastate.edu/creativecomponents/656
This Creative Component is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Creative Components by an authorized administrator of Iowa State University Digital Repository. For more information,
please contact [email protected].
Enhancing Walkability in a Downtown: A Case Study of Adel, Iowa
by
Yaw Yeboah Kwarteng
A creative component submitted to the graduate faculty in partial fulfillment of the requirements for the degree of
MASTER OF COMMUNITY AND REGIONAL PLANNING
Major: Community and Regional Planning
Program of Study Committee: Monica Haddad, Major Professor
Brian Gelder Sungduck Lee
The student author, whose presentation of the scholarship herein was approved by the program of study committee, is solely responsible for the content of this creative component. The
Graduate College will ensure this creative component is globally accessible and will not permit alterations after a degree is conferred.
Iowa State University
Ames, Iowa
2020
Copyright © Cy Cardinal, 2020. All rights reserved. ii
DEDICATION
This report is dedicated to my mum, Akosua Gyapomaa. Your love keeps me going. iii
TABLE OF CONTENTS
Page
LIST OF FIGURES .........................................................................................................................v LIST OF TABLES........................................................................................................................ vii ACKNOWLEDGMENTS ........................................................................................................... viii ABSTRACT................................................................................................................................... ix CHAPTER 1. INTRODUCTION ....................................................................................................1 CHAPTER 2. LITERATURE REVIEW .........................................................................................5
Defining walkability.................................................................................................................. 5 Benefits of walkability............................................................................................................... 7 Walk score for the city of Adel ................................................................................................. 9 Empirical studies about walkability and planning................................................................... 10 Measuring walkability with GIS.............................................................................................. 12
CHAPTER 3. METHODOLOGY .................................................................................................19
My study area .......................................................................................................................... 19 My methodological steps......................................................................................................... 26 Calculating the Index of Walkability....................................................................................... 28
Land use mix ...................................................................................................................... 28 Connectivity Index ............................................................................................................. 29 Density................................................................................................................................ 31 Proximity............................................................................................................................ 31
Streetscape Evaluation using GSV.......................................................................................... 33
CHAPTER 4. RESULTS AND FINDINGS..................................................................................36
Measuring the Connectivity Index .......................................................................................... 36 Assessing Proximity of Land Uses.......................................................................................... 36
Measuring closest facilities (Current Land Use)................................................................ 37 Measuring closest facilities (Future Land Use).................................................................. 39
Land Use Mix .......................................................................................................................... 40 Measuring the Residential Density.......................................................................................... 41 Reclassification of Values of the Dimensions......................................................................... 42 Creating the Walkability Index................................................................................................ 43 Comparing Walkability Indices for Downtown Adel.............................................................. 44 Google Street View (GSV) Measures ..................................................................................... 46
CHAPTER 5. CONCLUSION.......................................................................................................53
Recommendations ................................................................................................................... 53 Limitations of the Study .......................................................................................................... 55 Final Remarks.......................................................................................................................... 55 iv
REFERENCES ..............................................................................................................................58 APPENDIX A. FUTURE LAND USE MAP FOR THE CITY OF ADEL ..................................62 APPENDIX B. QUESTIONNAIRE FOR ASSESSING DOWNTOWN'S WALKABILITY USING GSV ..................................................................................................................................63 v
LIST OF FIGURES
Page
Figure 1: Walk score for the city of Adel ..................................................................................... 10 Figure 2: Map of the State of Iowa and Dallas County ................................................................ 19 Figure 3: City of Adel................................................................................................................... 20 Figure 4: Downtown Adel Boundary based on Adel Downtown Plan......................................... 21 Figure 5: Current Land Use based on Adel’s Land Use Map....................................................... 22 Figure 6: Current Land Use Map Aggregated .............................................................................. 23 Figure 7: Future Land Use based on Adel Downtown Plan ......................................................... 24 Figure 8: Future Land Use Aggregated ........................................................................................ 25 Figure 9: Alleyway Beautification Areas ..................................................................................... 26 Figure 10: Conceptual Framework ............................................................................................... 28 Figure 11: Street Links and Nodes................................................................................................ 30 Figure 12: Locations where Streetscapes were Examined using GSV......................................... 34 Figure 13: Network Analysis (Current Land Use)........................................................................ 38 Figure 14: Network Analyst (Future Land Use)......................................................................... 40 Figure 15: Walkability Index for Downtown Adel....................................................................... 43 Figure 16: Walkability Index with Alleyway Beautification Incorporated .................................. 46 Figure 17: Sidewalk Classification Criteria.................................................................................. 47 Figure 18: What are the conditions of the sidewalk from the observed location?........................ 48 Figure 19: Can Two People Fit on the Sidewalk from the Observed Location? .......................... 48 Figure 20: Is Pedestrian Crossing available at the Observed Location?....................................... 49 Figure 21: Streetscape Features in Downtown ............................................................................. 50 Figure 22: Examples of Streetscape Features ............................................................................... 51 vi
Figure 23: Condition of Street Landscape .................................................................................... 52 Figure 24: Potential for Sidewalk Width Expansion and Crosswalk Development ..................... 54 vii
LIST OF TABLES
Page
Table 1: The Four Dimensions of Walkability Mentioned by Various Authors .......................... 27 Table 2: Density Measure and Category....................................................................................... 31 Table 3: Proximity Matrix ............................................................................................................ 32 Table 4: Dimensions of walkability and their Formula ................................................................ 32 Table 5: Spatial Data Used in Case Study .................................................................................... 35 Table 6: Distances to Activity Centers (Current Land Use)......................................................... 39 Table 7: Distances to Activity Centers (Future Land Use)........................................................... 40 Table 8: Land Use Percentages in Downtown.............................................................................. 41 Table 9: Classification Matrix ...................................................................................................... 42 Table 10: Walkability Matrix........................................................................................................ 45 viii
ACKNOWLEDGMENTS
I would like to express my profound gratitude to my committee chair, Monica Haddad, and my committee members, Brian Gelder, and Sungduck Lee, for their guidance and support throughout the course of this research.
As Well, I extend my heartfelt admiration to Dennis Kwadwo Okyere, you are a pearl. I would also like to acknowledge my friends, colleagues, the department faculty, and staff for making my time at Iowa State University a marvelous experience and a worthwhile dream. ix
ABSTRACT
Downtowns have the potential to be a main attention point for small communities, the easiest centers to turn into pedestrian-focused mixed-use areas. Additionally, downtowns have the strongest connection to the civic features of neighborhoods, as buildings with civic significance are located in downtown. Buildings with noteworthy meanings are in downtowns and serve as a point for public gathering and hearing. Therefore, maintaining and improving the quality of access to these buildings can spur socio-economic development.
In furtherance of these desires, the main goal of this study is to estimate the Walkability
Index, reflecting forms of walking to daily destinations in the downtown of the city of Adel. There is a strong relationship between walkability and the set-up of the built environment where people live. It is thus imperative that the design of urban form supports physical human activities. Hence, the location of shops, health facilities, parks and open space, residential districts, and other land use, in relation to each other are crucial elements that influence the walkability of a place.
To effectively assess walkability, it is essential to identify the dimensions involved in measuring walkability. Connectivity, proximity, land use mix, and residential density are the necessary variables for estimating the index of waking in an urban setting. Using spatial analysis in Geographic Information System (GIS) is an established method to objectively automate the
measurement of these dimensions. To help evaluate the city’s newly adopted future land use plan
to guide the development of the downtown from 2020-2040, the index was calculated for both the current and adopted future land uses.
To calculate the overall index, the following steps were met: the network analyst extension of ArcGIS was used to measure proximity, gamma index was calculated for xconnectivity, net residential density was used to measure density, and the entropy index calculation used to estimate the land use mix. Each one of these dimensions was reclassified with values ranging from 0-100. Additionally, the study uses Google Street View approach to
evaluate streetscape features’ capability to provide opportunities for walking in downtown Adel.
The results of the study explicitly indicated that assessment of walkability standards can be performed on both existing built environment and proposed land use plans of a downtown neighborhood. The findings indicate that the proposed future land use will increase the index from 65.6 to 72.9, demonstrating that the recently adopted Downtown Plan will indeed make Adel a more walkable community. Evaluation of the streetscape features revealed the need to improve infrastructure for pedestrians, such as pedestrian signages and urban street elements, to increase pedestrian walking experience. This methodological approach can be applied to other cities that want to measure walkability. This study can be used by urban planners and policymakers to assess whether future plans do create opportunities for pedestrians to increase the level of walking.
1
CHAPTER 1. INTRODUCTION
Physical inactivity or sedentary lifestyles can result in preventable endemic health exposures such as obesity (Hruby & Hu, 2015; New York State Department of Health, 2020). Obesity has become the second primary preventable cause of death in the United States (New York State Department of Health, 2020). Society is cognizant of this needless nuisance, and therefore advocacy for healthier lifestyles, change in behavior, and opportunities for physical activities, such
as walking, is on the rise (Zhang & Mu, 2019). To reinforce these facts, one of the United Nations’ goals for Sustainable Development “is to ensure a healthy life and promote well-being for all at all
ages” (United Nations, 2019). Urban planners face a conundrum when finding a balance between development and community design to achieve an inclusive, safe, and sustainable urban environment. This evidence has buoyed planners and policymakers alike to recognize a walkable built environment as the surest way to improve public health (Adkins, Makarewicz, Scanze, Ingram, & Luhr, 2017).
Access to open space goes hand-in-hand with walkability and plays an essential role in ensuring healthy lifestyles and promoting well-being. However, most cities have struggled considerably in providing convenient access to open spaces for their population. To illustrate, data from 2018 about 220 global cities depicted that only 21 percent of the population had access to open spaces, not because of their inadequate share of an urban area but their uneven spatial distribution across land uses in these cities (United Nations, 2019). Nowadays, national urban policies should target strategies that react directly to urbanization challenges, such as providing efficient walkability through deliberate and planned development.
Furthermore, a dependency on automobiles, which is a significant characteristic of lifestyle in American cities, contributes to substantial amounts of air pollution. In the U.S. in 2019,
2automobile dependency resulted in over 55% of nitrogen oxide releases and 27% of pollution from transportation (USEPA, 2019). This happens because cities have created mono-functional car reliant regions where people have nothing to walk to (Dovey & Pafka, 2020), hence they drive to all destinations in the urban fabric.
Within this context, the objective of this study is to measure walkability in the downtown of a small town in Iowa that is developing a land use plan. The study poses the following spatial questions: How well does the current and future arrangement of land uses allow people to move around the urban fabric? How can spatial analysis be used to automate the measurement of these dimensions objectively? How does streetscape features provide opportunities for walking?
To answer these questions my main goal is to measure the level of connectivity, proximity of uses, residential density, and the different land use mix to estimate the Walkability Index, reflecting forms of walking to daily destinations in the downtown of the city of Adel. The methodological steps to be followed include: identify the dimensions of measuring walkability, identify variables of measuring the dimensions, use network analyst, to measure the index and use
Google Street View approach to assess streetscape features’ capacity to support walking in
downtown.
Downtowns certainly can provide an alternative option for the suburban environment and its associated social and economic costs. Downtowns can be the most accessible centers to turn into pedestrian-focused centers, due to their mixed-use, and their position as the main attention point for small communities (Horan, Yang, & Eidt, 2015). Moreover, it has the strongest association with the civic features of a neighborhood, as buildings with civic significance are in downtowns. As there is the tendency to obtain and maintain a continued public-private sector partnership in these centers, they can ensure a robust future investment (Horan, Yang, & Eidt,
3
2015) and ensure a continual assembly of people in these centers in the community. Moreover, buildings with significant meanings in America are concentrated in downtowns and serve as a point for public gathering and hearing (Rypkema, 2003). Downtowns are of prime importance to every community in America. Therefore, cities must endeavor to improve and maintain the quality of access to these buildings in this central point in the city, to serve as an impetus for social and economic development. Thus, making downtowns more walkable offers vitality and a distinct sense of place for people.
According to Ackerman (2005), there is a strong relationship between walkability and the set-up of the natural environment. Therefore, the design of urban form must support human physical activities. The level of walkability of a place assesses its physical arrangement and has the potential to minimize or maximize environmental impacts from automobile use. Indeed, the location of shops, health facilities, parks, and open space, residential districts, and other land uses are crucial elements that influence the walkability of a place (Ackerson, 2005). For example, a place characterized by low walkability enforces over-dependence on automobiles for the day-today activities, which affects the sustainability of the area over time.
Knowing the level of walkability of a specific place can assist urban planners to either redesign, rectify, or sustain the urban form in a location. It is critical that urban planners assess the existing structure to determine the future urban form to influence physical activity. Consequently, providing urban pedestrian facilities that improve quality health lifestyles, between trip origination and destination points, is highly recommendable. Pedestrian infrastructure for people who might not be able to afford automobiles (Dobesova & Krivka, 2012) and its associated costs is an inclusive way of urban development. These changes could help people to minimize their
4automobile dependency and indulge in physical activities that promote clean sustainable environments and personal health.
This study is organized as follows. The next section presents the literature review, focusing on previous research that evaluates and presents methods to assess walkability. The third section has information about the methodology, study area and data description. The fourth section discusses the dimensions of walkability, Google Street View (GSV) and the results. The final section describes the recommendations, limitations and the conclusion of the research.
5