A MODEL OF WORK START TIME AND RESIDENTIAL LOCATION CHOICES WITH TEMPORAL AGGLOMERATION ECONOMIES

AbstractThe present paper attempts to fill a part of the gap in the studies on residential location choices and their relations to urban mobility, socio-economics, and the built environment by presenting the results of a study on Alexandria, Egypt, by analysing the results of a survey in eight neighbourhoods undertaken in 2015. Four questions were answered in this study: (i) “How are the main drivers behind residential location choices in Alexandria connected to various socio-demographic groups or people with different availability to urban and built environments?”, (ii) “How are the main residential self-selections in Alexandria associated with one another and which are the most important?”, (iii) “How are the housing location-related decisions of Egyptians similar to or different from international decisions?”, and (iv) “How can planners and decision-makers use the knowledge produced by this study for urban planning and housing in Egypt?”. Library work and the results of a Χ2 test of independence show that availability of transportation modes, nice neighbourhoods, and affordability are the strongest motives behind decisions. However, socio-economic factors are generally stronger than urban mobility and spatial issues. These findings are partly different from those of high-income countries.

Download Full-text

Examining Spatial Heterogeneity Effects of Landscape and Environment on the Residential Location Choice of the Highly Educated Population in Guangzhou, China

Sustainability ◽

10.3390/su12093869 ◽

2020 ◽

Vol 12 (9) ◽

pp. 3869

Author(s):

Yang Wang ◽

Kangmin Wu ◽

Jing Qin ◽

Changjian Wang ◽

Hong’ou Zhang

Keyword(s):

Spatial Heterogeneity ◽

Location Choice ◽

Reference Value ◽

Residential Location ◽

Location Choices ◽

Residential Location Choice ◽

Population Proportion ◽

Highly Educated ◽

Global Regression ◽

Heterogeneity Effects

The residential location choice of the highly educated population is an important consideration to construct a livable city. While landscape and environment are important factors, few studies have deeply analyzed the spatial heterogeneity effects of landscape and environment on the residential location choices of a highly educated population. Taking Guangzhou as the sample, we built a livability-oriented conceptual framework of landscape and environment, and constructed datasets for highly educated population proportion, landscape, and environment factors, and other influencing factors for Guangzhou’s 1364 communities. Global regression and geographically weighted regression (GWR) models are used for analysis. The GWR model is more effective than the global regression model. We found spatial heterogeneity in the strength and direction of the relationship between the highly educated population proportion and landscape and environment. We find that landscape and environment exert spatial heterogeneity effects on the residential location choice of the highly educated population in Guangzhou. The conclusions will be of reference value to further understand how the spatial limitations of landscape and environment affect residential location choices. This study will help city managers formulate spatially differentiated environment improvement policies, thereby increasing the city’s sustainable development capabilities.

Download Full-text

Influence of Accessibility on Residential Location Choice

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198105190200108 ◽

2005 ◽

Vol 1902 (1) ◽

pp. 63-70 ◽

Cited By ~ 21

Author(s):

Barry Zondag ◽

Marits Pieters

Keyword(s):

The Netherlands ◽

Housing Market ◽

Transport System ◽

Location Choice ◽

Residential Location ◽

Significant Variable ◽

Location Choices ◽

Residential Location Choice ◽

Residential Moves ◽

Time Variables

There has been substantial discussion among planners about the influence of transport in residential location choices. The purpose of this paper is to analyze the importance of accessibility in explaining residential location choices. The paper addresses this issue by presenting and analyzing findings from the literature and results of a housing market estimation study in the Netherlands. The research findings for the Netherlands illustrate that the transport system influences residential moves at three stages: in move–stay choice, estimation results show that households are less likely to move away from a more accessible location; travel time variables are significant for all household types, and therefore changes in the transport system will affect the size of the housing market and search area of the households; the model estimation results suggest that accessibility of a specific location for many household types is not a significant variable in their location choice. Overall, the empirical results suggest that the role of accessibility is significant but small compared with the effect of demographic factors, neighborhood amenities, and dwelling attributes in explaining residential location choices. The empirical findings are confirmed by findings in the literature; the present results are located at the lower end of findings reported in the literature. An important factor contributing to this result is that accessibility changes among regions in the Netherlands are rather small.

Download Full-text

Ethnic entrepreneurship: interlinked business and residential location choices

Entrepreneurship in Cities ◽

10.4337/9781784712006.00017 ◽

2016 ◽

pp. 154-174 ◽

Cited By ~ 1

Author(s):

Heike Hanhörster ◽

Sabine Weck ◽

Ivonne Fischer-Krapohl

Keyword(s):

Residential Location ◽

Location Choices ◽

Ethnic Entrepreneurship

Download Full-text

Understanding residential location choices: an application of the UrbanSim residential location model on Suwon, Korea

International Journal of Urban Sciences ◽

10.1080/12265934.2017.1336469 ◽

2017 ◽

Vol 22 (2) ◽

pp. 216-235 ◽

Cited By ~ 6

Author(s):

Jangik Jin ◽

Hee-Yeon Lee

Keyword(s):

Residential Location ◽

Location Model ◽

Location Choices

Download Full-text

Welfare Measures to Reflect Home Location Options When Transportation Systems are Modified

Journal of the Transportation Research Forum ◽

10.5399/osu/jtrf.55.1.4343 ◽

2016 ◽

Author(s):

Shuhong Ma ◽

Kara M. Kockelman

Keyword(s):

Consumer Surplus ◽

Residential Location ◽

Transportation Systems ◽

Travel Times ◽

Location Choices ◽

Residential Location Choice ◽

Welfare Impacts ◽

Travel Time Savings ◽

Choice Probabilities ◽

Automobile Travel

Transportation system improvements do not provide simply travel time savings, for a fixed trip table; they affect trip destinations, modes, times of day, and, ultimately, home and business location choices. This paper examines the welfare (or willingness-to-pay) impacts of system changes by bringing residential location choice into a three-layer nested logit model to more holistically anticipate the regional welfare impacts of various system shifts using logsum differences (which quantify changes in consumer surplus). Here, home value is a function of home price, size, and accessibility; and accessibility is a function of travel times and costs, vis-à-vis all mode and destination options. The model is applied to a sample of 60 Austin, Texas, zones to estimate home buyers’ welfare impacts across various scenarios, with different transit fares, automobile operating costs, travel times, and home prices. Results suggest that new locators’ choice probabilities for rural and suburban zones are more sensitive to changing regional access, while urban and central business zone choice probabilities are more impacted by home price shifts. Automobile costs play a more important role in residential location choices in these simulations than those of transit, as expected in a typical U.S. setting (where automobile travel dominates). When generalized costs of automobile travel are simulated to rise 20%, 40%, and 60% (throughout the region), estimated welfare impacts (using normalized differences in logit logsum measures) for the typical new home buying household (with $70,000 in annual income and 2.4 household members) are estimated to be quite negative, at -$56,000, -$99,000, and -$132,000, respectively. In contrast, when auto’s generalized costs fall everywhere (by 20%, 40%, and then 60%), welfare impacts are very positive (+$74,000, $172,500, and $320,000, respectively). Such findings are meaningful for policymakers, planners, and others when anticipating the economic impacts of evolving transportation systems, in the face of new investments, rising travel demands, distance-based tolls, self-driving vehicles, and other changes.

Download Full-text