Understanding Residential Location Decision in the New York Region - A Data Collection Effort
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Understanding Residential Location Decision in the New York Region - A Data Collection Effort

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  • English

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      Final Report 12/31/07- 12/31/09
    • Abstract:
      Literature in residential location analysis is voluminous and profound and much has been learned. We now understand that there are three main categories of factors affecting our residential location choices: housing attributes (eg, housing size), neighborhood attributes (eg, school quality, the amount of open space that is available), and accessibility attributes (eg, access to various opportunities). This project is a follow-up pursuit of the 2009 study by Chen et al. In the 2009 study, prior location experience is examined by a single point, which is the most recent prior location. This treatment is quite simplistic-it essentially ignores the entire life course prior to that prior location. It is hoped that a more complete life course perspective is to be taken in the current study. The purpose of this project is to collect data to answer two questions: 1. How do people’s prior residential location experiences influence their current residential preferences? 2. How do people search in space for a residential location? To answer the first question, we collected information on households' socio-demographic characteristics and their prior residential experiences. The former includes current and prior homeownership, household size and type, household income, as well as respondents’ age, gender, ethnicity, immigrant status (place of birth). As for the latter, we inquired the locations where the respondent lived the longest, the second longest, and the third longest, as well as the most recent prior location, in addition to their current location. For each prior location, we collected information on its geographical location, respondents' subjective level of satisfaction toward various dimensions (eg, housing space, school quality, accessibility to various opportunities), respondents' perceived level of crowdedness, and the building height of the location. Household size and type (child-bearing vs. not child-bearing) associate lifecycle with the type of neighborhood and housing people want to live in. To understand how people search, we collected information on the motivations of a housing search, the various information sources used in the search, the number of neighborhoods and houses or apartments that were seriously considered, the level of agreement and compromise within couples, the reasons why a previously examined neighborhood is rejected, and difference between a rejected neighborhood and the chosen one. For every household who wants to relocate, there is a reason behind it, for example, job relocation, wanting a larger housing space, wanting to move closer to friends and relatives, and etc. In this final report, we will present the descriptive analysis results of the variables we collected. It is worthy to note that these results are not conclusive and shall not be treated as the final answers to the two questions raised. Rather, these results provide us with some preliminary answers to the two questions. The PI of this project is currently leading a team to analyze the collected dataset and more rigorous analyses are being conducted to provide more conclusive answers to the two questions raised above.
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